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Data Analysis in MySQL and Excel 2013 - Example
 
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In this video I show how to import a table from MySQL into Excel so that seasonal analysis can be conducted.
Views: 28332 Michael Herman
SQL & Data Analytics for Beginners: Introduction
 
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I hope you all enjoyed the video. If you'd like to learn more or got stuck, feel free to let me know in the comments below. Big Data: https://www.sciencedaily.com/releases/2013/05/130522085217.htm
Views: 64346 DataDash
Data Analysis using Excel- Database Queries, Filters and Pivot Tables
 
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I have noticed that many people throughout the world have been interested in my training videos on Using Database Queries and Pivot Tables in Microsoft Excel. So this training video, while very helpful for Active Planner customers, is applicable to any Excel user who wants to create database queries and then analyze that data using Filters and Pivot Tables. And as an added bonus, we will go into SQL Management Studio to build and debug our query and I will show you how to create a PIVOT query. I have created a new video for Sage 300 users so check it out at: https://youtu.be/HXzm8s2mVhI And Sage 500 users check out this new video at: https://youtu.be/UWJ9UrTeEr8 Thank you, Doug Leasure
Views: 170911 ActivePlanner
Create Report in Seconds by Fetching Data from SQL Server using Excel VBA
 
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Create Report in Seconds by Fetching Data from SQL Server using Excel VBA If your manager needs the report very frequently then you need to do the same task again and again. Frankly speaking, I faced this kind of situation in my previous company and I prepared the report using VBA and handed over the file to my manager. Now, whenever he will click the button he will get the report of the LIVE DATA from SQL to Excel. You can read our blog to go through instructions as well as download working and code files, Click here: http://yodalearning.com/tutorials/export-data-from-sql-to-excel-spreadsheet-using-vba/ You can enroll in our Excel VBA course: http://courses.yodalearning.com/p/excel-vba-tutorials CHECK SOME OF THE FREE COURSES WE OFFER http://courses.yodalearning.com/p/free-office-2016-tips Keep yourself updated. Follow us now! http://www.facebook.com/yodalearning http://www.twitter.com/yodalearning
Views: 89596 Excel Yoda learning
Data Analyst HandsOn SQL Beginner Training (Week1)
 
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This is the first session for Data Analysts Career path for 21st May 2016 batch. Understanding the core of RDBMS and SQL programming is one of the skills that make a good analyst. This session is focused on introducing students to IT and Relational Database Management System (RDBMS) By the end of the week you would have finished learning, and achieving the below • Getting familiar with Information Technology • Background and historical knowledge of SQL • Configuring the server environment • Connecting to the server • Creating a database If you will like to get real hands-on with SQL and Data Analytics, join other hundreds of learners in our community. Send us an email [email protected]
Views: 33557 Dare Olufunmilayo
Module 1: Data Analysis in Excel
 
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This video is part of the Analyzing and Visualizing Data with Excel course available on EdX. To sign up for the course, visit: http://aka.ms/edxexcelbi
Views: 407496 DAT206x
How to Make Career in Data Analytics using Excel, VBA, Macros, SQL, Python, SAS, R, Big Data
 
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If you are working in IT sector and Not earning enough. Then You Must Watch This Video... Check out our blogs:- https://www.gyansetu.in/why-microsoft-excel-is-important/ This video will let you know how You can start Career in Data Analytics in Excel, VBA, Macos, SQL, Python, SAS, R, Big Data. Because of advances in technology and computing, we’re generating more data than ever before. A lot more. And we’re learning how to put it to good use. Did You Know? 1} Google uses about 1,000 computers to answering a single search query. 2} There are nearly as many pieces of digital information as there are stars in the universe. 3} By 2020, about 1.7 megabytes of new information will be created every second for every human on the planet. 4} Bad data costs US businesses alone $600 billion annually so in this video we will tell you about How to become data analytics using these major technologies. We covered every pro and cons for each technologies. These are top brand skills which you need to master if you want to become a data analyst. To know more about the training program, kindly visit: Advance Excel:- http://www.gyansetu.in/courses/best-advanced-excel-training-course/ Big data:- https://www.gyansetu.in/courses/best-big-data-hadoop-certification-training/ SQL:- https://www.gyansetu.in/courses/sql-plsql-training-certification/ Sas:- http://www.gyansetu.in/courses/best-sas-analytics-certification-training-in-gurgaon/ R Programming:- http://www.gyansetu.in/courses/best-data-analytics-with-sas-r-certification-training/ Facebook: http://www.facebook.com/gyansetutraining/ Phone: 9999201478 / 8130799520
Business Analytics with Excel | Data Science Tutorial | Simplilearn
 
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Business Analytics with excel training has been designed to help initiate you to the world of analytics. For this we use the most commonly used analytics tool i.e. Microsoft Excel. The training will equip you with all the concepts and hard skills required to kick start your analytics career. If you already have some experience in the IT or any core industry, this course will quickly teach you how to understand data and take data driven decisions relative to your domain using Microsoft excel. Data Science Certification Training - R Programming: https://www.simplilearn.com/big-data-and-analytics/data-scientist-certification-sas-r-excel-training?utm_campaign=Data-Excel-W3vrMSah3rc&utm_medium=SC&utm_source=youtube For a new-comer to the analytics field, this course provides the best required foundation. The training also delves into statistical concepts which are important to derive the best insights from available data and to present the same using executive level dashboards. Finally we introduce Power BI, which is the latest and the best tool provided by Microsoft for analytics and data visualization. What are the course objectives? This course will enable you to: 1. Gain a foundational understanding of business analytics 2. Install R, R-studio, and workspace setup. You will also learn about the various R packages 3. Master the R programming and understand how various statements are executed in R 4. Gain an in-depth understanding of data structure used in R and learn to import/export data in R 5. Define, understand and use the various apply functions and DPLYP functions 6. Understand and use the various graphics in R for data visualization 7. Gain a basic understanding of the various statistical concepts 8. Understand and use hypothesis testing method to drive business decisions 9. Understand and use linear, non-linear regression models, and classification techniques for data analysis 10. Learn and use the various association rules and Apriori algorithm 11. Learn and use clustering methods including K-means, DBSCAN, and hierarchical clustering Who should take this course? There is an increasing demand for skilled data scientists across all industries which makes this course suited for participants at all levels of experience. We recommend this Data Science training especially for the following professionals: IT professionals looking for a career switch into data science and analytics Software developers looking for a career switch into data science and analytics Professionals working in data and business analytics Graduates looking to build a career in analytics and data science Anyone with a genuine interest in the data science field Experienced professionals who would like to harness data science in their fields Who should take this course? There is an increasing demand for skilled data scientists across all industries which makes this course suited for participants at all levels of experience. We recommend this Data Science training especially for the following professionals: 1. IT professionals looking for a career switch into data science and analytics 2. Software developers looking for a career switch into data science and analytics 3. Professionals working in data and business analytics 4. Graduates looking to build a career in analytics and data science 5. Anyone with a genuine interest in the data science field 6. Experienced professionals who would like to harness data science in their fields For more updates on courses and tips follow us on: - Facebook : https://www.facebook.com/Simplilearn - Twitter: https://twitter.com/simplilearn Get the android app: http://bit.ly/1WlVo4u Get the iOS app: http://apple.co/1HIO5J0
Views: 26157 Simplilearn
Connecting SQL Tables and data in Excel spreadsheets
 
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For more videos on technology, visit http://www.Techytube.com By [email protected] SQL server is a powerful database platform, this means that it can also be complex to understand and work with. However the major users of the data in the database are still a non-technical business user. A key problem that most business users face when it comes to working with SQL Server is the dependency on an IT professional to query and return the data in a CSV format or Excel sheet. With the ability of MS Excel to be able to connect to SQL Server via the ODBC Drivers allows users to work with SQL tables within the familiar Excel User interface. This approach allows users to be productive with SQL Server without having to know Transact SQL. The feature set provided with MS Excel and newer versions of SQL allow business users to do much more than just query the database. These include the ability to query and view data in pivot format for large data sets using power pivot. Perform ad hoc calculations to underlying data and create models that are specific to their business case using the powerful DAX language. Embedding reports in SharePoint services using PowerPivot. Working with Excel is one of the most powerful ways that end users can work with MS SQL Server to deliver results faster and improve productivity.
Views: 194406 techytube
Data Analysis in Excel Tutorial
 
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Data Analysis using Microsoft Excel using SUMIF , CHOOSE and DATE Functions
Views: 87622 TEKNISHA
Excel to SQL
 
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Excel to SQL http://www.sql-excel.com One of the things that I see IT software development people struggle with is SQL to Excel integration. SQL to Excel integration unfortunately has been made unnecessarily cumbersome because of the rather primitive awkward way Microsoft has chosen to implement SQL to Excel communication. That's why I created a way to solve SQL to Excel integration once and for all. It doesn't have to be hard. It doesn't have to take a long time to develop software/spreadsheets which integrates SQL to Excel. And in fact, Excel is the PERFECT platform for integrating SQL to Excel database access. Excel is PERFECT for rapid application development (RAD). The right out-of-the-box though, SQL to Excel integration is painful in Excel. Not only that, but the way SQL to Excel was implemented, it created tremendous opportunity for the data to be structured wrong, or at minimum, misinterpreted. Let me give you one specific example. I called this example "data drift." What do I mean by "data drift?" It's when you have a SQL table and it's imported into Excel. The data into Excel spreadsheet is static, imported only one time during an Excel session. However, the data in the SQL table continues to be updated by different user departments in the company. In essence, the SQL to Excel "data drifts" more and from the corporate database on the server. This is where Microsoft's way of integrating SQL to Excel functionality falls far short. As you can imagine, this can cause tremendous problems with departments and users. And it's one of the main reasons, SQL to Excel integration projects are so frustrating. I though there had to be a better way of implementing SQL to Excel integration. My new SQL to Excel tool set I developed, solves that problem once and for all. Because now the data can be refreshed either through seamless and transparent SQL to Excel, or Excel to SQL integrations at key checkpoints and function points in the spreadsheet. The best part, is that SQL to Excel integration is ALL transparent to the user. While there is updating going on in the background/behind the scenes, the user is unaware of the SQL to Excel communication going on. Once my way of SQL to Excel has been implemented, the problem of data drift literally disappears. Because it looks like to the user they are really doing SQL to Excel importing and later updating the SQL database IN REAL-TIME. SQL to Excel, or Excel to SQL doesn't have to be hard to develop either. In fact with my tools, if you're a software developer, I've made SQL to Excel a snap. In less than a few minutes from now, you can be impressing your boss or the users with what you can do with Excel. You'll be able to make Excel do backflips, things you, as a software developer always wanted it to do. Using my SQL to Excel toolset, rapid application development (RAD) is a reality inside Excel. I urge you to check out my website at http://www.sql-excel.com. Once you do, you'll never go back to the slow, error prone, painful way of implementing SQL to Excel integrations in the future. SQL to Excel integrations from here forward will actually be fun and make your users extremely happy and confident in the data. Check it out at: http://www.sql-excel.com http://www.youtube.com/watch?v=L_WqmWM6MKU Excel to SQL
Views: 361695 exceltosql
Highline Excel 2016 Class 03: Data Analysis Fundamentals: PivotTables, Power Query & Data Model
 
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Download Files: https://people.highline.edu/mgirvin/AllClasses/218_2016/218Excel2016.htm Buy excelisfun products: https://teespring.com/stores/excelisfun-store In this video learn about the fundamentals of Data Analysis and Business Intelligence in Excel 2016: Sort, Filter, PivotTables, Power Query, Power Pivot Data Model: 1. (00:05) Introduction 2. (01:39) Sort 3. (03:02) Sorting one column 4. (03:23) Sorting multiple columns 5. (09:06) Sorting Mixed Data 6. (10:50) Filter feature 7. (13:22) Filter Drop-down Arrows to see Unique List 8. (15:34) Filter Different Data Types 9. (18:30) Filter to Extract Records 10. (20:54) OR Logical Test (OR Criteria) Discussion 11. (22:52) AND Logical Test (AND Criteria) Discussion 12. (28:23) BETWEEN and NOT Criteria 13. (30:57) PivotTable. Discussion of Crosstabulated tables and PivotTables as “Calculations with Criteria”, both AND Criteria and OR Criteria. 14. (33:05) PivotTable Basics: 1) Drag and Drop Field Names to add criteria to PivotTable, 2) Cross Tabulated Table, 3) Layout Formatting, 4) Number Formatting 15. (37:41) Adding Slicers 16. (40:21) Creating a Custom Style for a PivotTable 17. (44:48) Name PivotTable 18. (46:12) Create PivotTable using “Summarize Values By”, which allows us to change the Aggregate Functions like: SUM, COUNT, AVERAGE. 19. (51:49) Group Dates by Month and Year 20. (54:50) Create PivotTable using “Show Values As” to calculate “% of Column Total”. 21. (56:09) Hide items in Slicer 22. (57:24) Connect Multiple Slicers to Multiple PivotTables. 23. (58:57) Sort in PivotTable. 24. (01:00:11) Create multiple PivotTables with a single click using “Show Report Filter Pages” 25. (01:03:10) Why we need Power Query and Power Pivot Data Model 26. (01:05:21) Introduction to Power Query (Get & Transform) 27. (01:07:04) Power Query Example 1: Clean and Transform Data Table, Create PivotTable Based on Power Query Update, 3) Add new data to table and Refresh to update Query and PivotTable 28. (01:18:25) Power Query to Unpivot a Crosstabulated Table into a Proper Data Set. 29. (01:24:54) Introduction to Power Pivot and the Data Model 30. (01:25:32) Power Query to import multiple Text File tables with over one million records combine them into a single Table. We will use the “From File, From Folder” option. 31. (01:33:20) Load the million records in Power Query into the Power Pivot Data Model. 32. (01:34:42) Add an Excel Table into the Power Pivot Data Model 33. (01:35:30) Update Power Query 34. (01:36:36) Build a relationship between tables in the Power Pivot Data Model. 35. (01:38:08) Build PivotTable from Millions of Records from Two Tables 36. (01:40:34) Add new Text File to Folder and Update PivotTable. 37. (01:41:22) Summary
Views: 251189 ExcelIsFun
SQL Spreads Demo - Collect Financial Forecasting data using Excel and SQL Server
 
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This video shows one of the downloadable SQL Spreads demos. The demo is a data collection solution for collecting financial forecasts from users. In the demo, data is loaded from a data warehouse into an Excel spreadsheet. The users then updates the forecasts in the Excel spreadsheet and saves the data back to a centralized forecasting table in Microsoft SQL Server. The demo can be downloaded from http://bit.ly/1aqbRQV
Views: 3495 SQL Spreads
Creating Excel Reports with SQL Server or Analysis Server
 
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A simple overview of how people use Excel to get reports from SSAS
Views: 3478 Randal Root
Financial Analyst & Business Analyst Training Program
 
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Advanced Excel ***** VBA (Macros) **** Access + SQL *** SAP FI/CO **** + * Interview Prep
Views: 233738 puresvideo
Shopping Basket Analysis with Excel 2007 and SQL Server Data Mining
 
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Watch this short tutorial video to learn how to do basket analysis with Excel 2007 and the SQL Server Data Mining add-in. You can download the SQL Server Data Mining add-in here http://www.microsoft.com/sqlserver/2008/en/us/data-mining-addins.aspx Get more information at http://blogs.msdn.com/bi
Views: 21673 wowmsft
Data Analysis with Python for Excel Users
 
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A common task for scientists and engineers is to analyze data from an external source. By importing the data into Python, data analysis such as statistics, trending, or calculations can be made to synthesize the information into relevant and actionable information. See http://apmonitor.com/che263/index.php/Main/PythonDataAnalysis
Views: 166275 APMonitor.com
Data Analyst Interview Questions and Answers - For Freshers and Experienced Candidates
 
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Learn most important Data Analyst Interview Questions and Answers, asked at every interview. These Interview questions will be useful to all entry level candidates, beginners, interns and experienced candidates interviewing for the role of Data Analyst across various domains like banking, financial, marketing, statistical etc. The examples and sample answers with each question will make it easier for candidates to understand these conceptual, situational and behavioral interview questions.
Views: 15124 CareerRide
What if Analysis with Excel 2007 and SQL Server Data Mining
 
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Watch this how to video to learn about how to use SQL Server Data Mining add-in and Excel 2007 to do what-if analysis of your data. Get the data mining addin here http://www.microsoft.com/sqlserver/2008/en/us/data-mining-addins.aspx Get more information at http://blogs.msdn.com/bi
Views: 9506 wowmsft
Query a SQL database
 
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This video is part of the Udacity course "Interviewing Course - Data Analyst". Watch the full course at https://www.udacity.com/course/ud943
Views: 2218 Udacity
SQL - Full course for beginners
 
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In this course, we'll be looking at database management basics and SQL using the MySQL RDBMS. The course is designed for beginners to SQL and database management systems, and will introduce common database management topics. Throughout the course we'll be looking at various topics including schema design, basic C.R.U.D operations, aggregation, nested queries, joins, keys and much more. 🔗Company Database Code: https://www.giraffeacademy.com/databases/sql/creating-company-database/ ⭐️ Contents ⭐ ⌨️ (0:00) Introduction ⌨️ (2:36) What is a Database? ⌨️ (23:10) Tables & Keys ⌨️ (43:31) SQL Basics ⌨️ (52:26) MySQL Windows Installation ⌨️ (1:01:59) MySQL Mac Installation ⌨️ (1:15:49) Creating Tables ⌨️ (1:31:05) Inserting Data ⌨️ (1:38:17) Constraints ⌨️ (1:48:11) Update & Delete ⌨️ (1:56:11) Basic Queries ⌨️ (2:08:37) Company Database Intro ⌨️ (2:14:05) Creating Company Database ⌨️ (2:30:27 ) More Basic Queries ⌨️ (2:26:24) Functions ⌨️ (2:45:13) Wildcards ⌨️ (2:53:53) Union ⌨️ (3:01:36) Joins ⌨️ (3:11:49) Nested Queries ⌨️ (3:21:52) On Delete ⌨️ (3:30:05) Triggers ⌨️ (3:42:12) ER Diagrams Intro ⌨️ (3:55:53) Designing an ER Diagram ⌨️ (4:08:34) Converting ER Diagrams to Schemas Course developed by Mike Dane. Check out his YouTube channel for more great programming courses: https://www.youtube.com/channel/UCvmINlrza7JHB1zkIOuXEbw 🐦Follow Mike on Twitter: https://twitter.com/GiraffeAcademy 🔗The Giraffe Academy website: http://www.giraffeacademy.com/ -- Learn to code for free and get a developer job: https://www.freecodecamp.org Read hundreds of articles on programming: https://medium.freecodecamp.org And subscribe for new videos on technology every day: https://youtube.com/subscription_center?add_user=freecodecamp
Views: 918626 freeCodeCamp.org
Why Use R? - R Tidyverse Reporting and Analytics for Excel Users
 
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https://www.datastrategywithjonathan.com Free YouTube Playlist https://www.youtube.com/playlist?list=PL8ncIDIP_e6vQ0uQofezvKv3yPnL5Unxe From Excel To Big Data and Interactive Dashboard Visualizations in 5 Hours If you use Excel for any type of reporting or analytics then this course is for you. There are a lot of great courses teaching R for statistical analysis and data science that can sometimes make R seem a bit too advanced for every day use. Also since there are many different ways of using R that can often add to the confusion. The reality is that R can be used to make your every day reporting analytics that you do in Excel much faster and easier without requiring any complex statistical techniques while at the same time giving you a solid foundation to expand into those areas if you so wish. This course uses the Tidyverse standards for using R which provides a single, comprehensive and easy to understand method for using R without complicating things via multiple methods. It's designed to build upon the the skills you are already familiar with in Excel to shortcut your learning journey. If you're looking to learn Advanced Excel, Excel VBA or Databases then you need to check out this video series. In this videos series, I will show you how to use Microsoft Excel in different ways that will make you far more effective at working with data. I'm also going to expand your knowledge beyond Excel and show you tips, tricks, and tools from other top data analytics tools such as R Tidyverse, Python, Data Visualisation tools such as Tableau, Qlik View, Qlik Sense, Plotly, AWS Quick Sight and others. We'll start to touch on areas such as big data, machine learning, and cloud computing and see how you can develop your data skills to get involved in these exciting areas. Excel Formulas such as vlookup and sumifs are some of the top reasons for slow spreadsheets. Alternatives for vlookup include power query (Excel 2010 and Excel 2013) which has recently been renamed to Get and Transform in Excel 2016. Large and complex vlookup formulas can be also done very efficiently in R. Using the R Tidyverse libraries you can use the join functions to merge millions of records effortlessly. In comparison to Excel Vlookup, R Tidyverse Join can pull on multiple columns all at the same time. Microsoft Excel Power Query and R Tidyverse Joins are similar to the joins that you do in databases / SQL. The benefit that they have over relational databases such as Microsoft Access, Microsoft SQL Server, MySQL, etc is that they work in memory so they are actually much faster than a database. Also since they are part of an analytics tool instead of a database it is much faster and easier to build your analysis and queries all in the same tools. My very first R Tidyverse program was written to replace a Microsoft Access VBA solution which was becoming complicated and slow. Note that Microsoft Access is very limited in analytics functions and is missing things as simple as Median. Even though I had to learn R programming from scratch and completely re-write the Microsoft Access VBA solution it was so much easier and faster. It blew my mind how much easier R programming with R Tidyverse was than Microsoft Access VBA or Microsoft Excel VBA. If you have any VBA skills or are looking to learn VBA you should definitely checkout my videos on R Tidyverse. To understand why R Tidyverse is so much easier to work with than VBA. R Tidyverse is designed to work directly with your data. So If you want to add a calculated column that’s around one line of script. In Excel VBA, the VBA is used to control the DOM (Document Object Model). In Excel that means that you VBA controls things like cells and sheets. This means your VBA is designed to capture the steps that you would normally do manually in Microsoft Excel or Microsoft Access. VBA is not actually designed to work directly with your data. Note the most efficient path is to reduce the data pulled down from the database in the first place. This is referring to the amount of data you are pulling down from your data warehouse or data lake. It makes no sense to pull data from a data warehouse / data lake to pull into another database to query add joins / lookups to then pull it into Excel or other analysis tool. Often analyst build these intermediate databases because they either don’t have control of the data warehouse or they need to join additional information. All of these operations are done significantly faster in a tool such as R Tidyverse or Microsoft Excel Power Query.
Views: 9691 Jonathan Ng
Excel Lesson 34 - Import Data Using SQL Queries & Stored Procedures From SQL Server To Excel
 
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Learn How To Import Data Using SQL Queries & Stored Procedures From SQL Server To Excel Database connectivity can be a very powerful tool, with which you can get real time refresh-able data which you can use for data analysis, creating dashboards etc. This method does not use VBA Coding and hence can be learnt by any excel user who does not know VBA Programming. My Website - www.NeedForExcel.com
Views: 9393 Need For Excel
Intro to Data Analysis / Visualization with Python, Matplotlib and Pandas | Matplotlib Tutorial
 
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Python data analysis / data science tutorial. Let’s go! For more videos like this, I’d recommend my course here: https://www.csdojo.io/moredata Sample data and sample code: https://www.csdojo.io/data My explanation about Jupyter Notebook and Anaconda: https://bit.ly/2JAtjF8 Also, keep in touch on Twitter: https://twitter.com/ykdojo And Facebook: https://www.facebook.com/entercsdojo Outline - check the comment section for a clickable version: 0:37: Why data visualization? 1:05: Why Python? 1:39: Why Matplotlib? 2:23: Installing Jupyter through Anaconda 3:20: Launching Jupyter 3:41: DEMO begins: create a folder and download data 4:27: Create a new Jupyter Notebook file 5:09: Importing libraries 6:04: Simple examples of how to use Matplotlib / Pyplot 7:21: Plotting multiple lines 8:46: Importing data from a CSV file 10:46: Plotting data you’ve imported 13:19: Using a third argument in the plot() function 13:42: A real analysis with a real data set - loading data 14:49: Isolating the data for the U.S. and China 16:29: Plotting US and China’s population growth 18:22: Comparing relative growths instead of the absolute amount 21:21: About how to get more videos like this - it’s at https://www.csdojo.io/moredata
Views: 199683 CS Dojo
SQL Tutorial: Reporting and Analysis for beginners
 
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Social Network for Developers ☞ https://morioh.com Developers Chat Channel ☞ https://discord.gg/KAe3AnN Learn to code for free and get a developer job ☞ https://codequs.com/ Playlists Video Tutorial ☞ http://dev.edupioneer.net/f086e182ab Aiodex’s Referral Program  will give you 20% -80% commission from their transaction fee for 7 years. The value will be calculated starting from the date the member you invite sign up ☞ http://vrl.to/c4099b4d9f Next Generation Shorten Platform: Optimal choice to make a profit and analyze traffic sources on the network. Shorten URLs and Earn Big Money ☞ https://viralroll.com/ Get Free 15 Geek ☞ https://geekcash.org/ The Complete SQL Bootcamp ☞ http://edusavecoupon.net/p/HJH7nHmre?utm_source=80 The Ultimate MySQL Bootcamp: Go from SQL Beginner to Expert ☞ http://edusavecoupon.net/p/r1dP1euzZ-?utm_source=80 SQL - MySQL for Data Analytics and Business Intelligence ☞ http://edusavecoupon.net/p/SJTQlR66W?utm_source=80 SQL & Database Design A-Z™: Learn MS SQL Server + PostgreSQL ☞ http://edusavecoupon.net/p/ByFsBFzYZ?utm_source=80 Master SQL for Data Reporting and Daily Data Analysis and gain basic Data Science skills. This introductory beginners course will help you master SQL for Data Reporting & daily data analysis by learning how to select, filter & sort data, customize output, & how you can report aggregated data from a database! The course, we will focus on ANSI(American National Standards Institute) SQL that works on every database like Oracle, MySQL, Microsoft SQL Server, etc. SQL has become a requirement for most data science jobs that include: data analyst, BI (Business Intelligence) developer, programmer, database programmer. SQL will let you communicate with the database and work with your data. What You will learn include: Writing SQL SELECT Statements Eliminating duplicate rows using DISTINCT Restricting and Sorting Data WHERE clause, wildcard like IN, LIKE Analysing data using various SQL Operators Sorting data using ORDER BY clause Character Functions Concat Functions Using LIMIT Operator Reporting Aggregated Data Using the Group Functions AVG, COUNT, MIN, MAX... Using GROUP BY and HAVING Clauses Displaying Data From Multiple Tables inner-join, right outer-join, left outer-join, self-join Analysing data Using Subqueries Analysing data Using nested Subqueries Who is the target audience? Beginner Data Science Analyst Beginner Data Analyst Beginner Data Engineer Beginner Data Reporting Analyst Video source via: Udemy ---------------------------------------------------- Website: http://bit.ly/2pN2aXx Playlist: http://bit.ly/2Eyn3dI Website: http://bit.ly/2Hay229 Fanpage: http://bit.ly/2GQvOBx Twitter: http://bit.ly/2GOyTlA Pinterest: http://bit.ly/2qihWtz Tumblr: http://bit.ly/2qjBcGo
Views: 490 Database Tutorials
Connect SQL Server from Excel and retrieve data
 
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Connect SQL Server from Excel and retrieve data My SQL Blog: https://sqlwithmanoj.com/ Check my SQL FB Page at: https://www.facebook.com/sqlwithmanoj
Views: 34770 SQL with Manoj
Data Analysis Circuit: Info Session
 
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The Data Analysis Circuit is a 10-week online mentor driven course where students learn the skills necessary to conduct an end-to-end analysis of a dataset by using SQL, Excel, and data visualization. Learn more here: http://ga.co/dataonline
Views: 944 General Assembly
Intro to SQL for Data Analysis
 
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This video is part of the Udacity course "SQL for Data Analysis". Watch the full course at https://www.udacity.com/course/ud198
Views: 8809 Udacity
MSPTDA 11: Power Query to Import from SQL Server Database in Excel or Power BI Desktop
 
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Download Excel START File: https://people.highline.edu/mgirvin/AllClasses/348/MSPTDA/Content/PowerQuery/011-MSPTDA-ImportSQLIntoPowerQuery-Start.xlsx Download Excel FINISHED File: https://people.highline.edu/mgirvin/AllClasses/348/MSPTDA/Content/PowerQuery/011-MSPTDA-ImportSQLIntoPowerQuery-Finished.xlsx Download Power BI Desktop FINISHED File: https://people.highline.edu/mgirvin/AllClasses/348/MSPTDA/Content/PowerQuery/011-MPSTDA-PowerBIDesktop-GetSQL-Data.pbix Download pdf Notes about Power Query: https://people.highline.edu/mgirvin/AllClasses/348/MSPTDA/Content/PowerQuery/011-MSPTDA-PowerQueryImportSQLData.pdf Practice Problems: Assigned Homework: Download homework file (Practice Problems) : https://people.highline.edu/mgirvin/AllClasses/348/MSPTDA/Content/PowerQuery/011-MSPTDA-Homework-Start.xlsx Example of Finished Homework: https://people.highline.edu/mgirvin/AllClasses/348/MSPTDA/Content/PowerQuery/011-MSPTDA-Homework-Finished.xlsx link to Microsoft Notes on Direct Query: https://docs.microsoft.com/en-us/power-bi/desktop-use-directquery In this Video learn how to connect to an SQL Server Database and extract and transform data using Power Query in Excel and Power BI Desktop. Topics: 1. (00:16) Introduction 2. (00:32) What is an SQL Server Database 3. (02:19) The Goal of our Queries and a look at the end result reports in Excel 4. (03:04) Comparing and Contrast using 1) Using Power Query User Interface or 2) Writing SQL Code in Power Query 5. (04:46) Example 1: Use Power Query User Interface to connect to SQL Server and Extract, Transform and Load Data. 6. (11:27) Example 2: Write SQL Code to connect to SQL Server and Extract, Transform and Load Data. 7. (14:44) Example 3: Using Power BI Desktop to connect to SQL Server and Import multiple Tables. 8. (18:29) Summary Comprehensive Microsoft Power Tools for Data Analysis Class, BI 348, taught by Mike Girvin, Excel MVP and Highline College Professor.
Views: 6761 ExcelIsFun
SQL for the business analyst
 
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BA Community: http://www.ModernAnalyst.com Data preparation is another problem analysts are challenged with, and knowing how write expert SQL to query and join it all. In this webinar, the database experts at Dell Software will show different tips and tricks to make you a SQL expert without writing a line of code, and how to automate SQL queries and reporting. In this webinar, you will learn: • Tools analysts can use to access different data sources, including Excel/Access, database systems, data warehouse and BI systems, and NoSQL databases. • How to visually build cross-platform SQL queries without coding • Tips to accelerate integrating data while ensuring data quality • How to automate reoccurring reporting BA Resources: http://www.DigiBytes.com Twitter: https://twitter.com/ModernAnalyst
Views: 51169 ModernAnalyst.com
Tutorial 1: Statistics & Data Analysis in the NBA- Importing Data into Excel
 
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In this tutorial I show you how to import data into Excel from Basketball reference.
Views: 24422 Polymath Mike
Data Analytics for Beginners | Introduction to Data Analytics | Data Analytics Tutorial
 
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Data Analytics for Beginners -Introduction to Data Analytics https://acadgild.com/big-data/data-analytics-training-certification?utm_campaign=enrol-data-analytics-beginners-THODdNXOjRw&utm_medium=VM&utm_source=youtube Hello and Welcome to data analytics tutorial conducted by ACADGILD. It’s an interactive online tutorial. Here are the topics covered in this training video: • Data Analysis and Interpretation • Why do I need an Analysis Plan? • Key components of a Data Analysis Plan • Analyzing and Interpreting Quantitative Data • Analyzing Survey Data • What is Business Analytics? • Application and Industry facts • Importance of Business analytics • Types of Analytics & examples • Data for Business Analytics • Understanding Data Types • Categorical Variables • Data Coding • Coding Systems • Coding, coding tip • Data Cleaning • Univariate Data Analysis • Statistics Describing a continuous variable distribution • Standard deviation • Distribution and percentiles • Analysis of categorical data • Observed Vs Expected Distribution • Identifying and solving business use cases • Recognizing, defining, structuring and analyzing the problem • Interpreting results and making the decision • Case Study Get started with Data Analytics with this tutorial. Happy Learning For more updates on courses and tips follow us on: Facebook: https://www.facebook.com/acadgild Twitter: https://twitter.com/acadgild LinkedIn: https://www.linkedin.com/company/acadgild
Views: 238848 ACADGILD
Data Ananalysis with Excel 2007 in Hindi(Excel Pivot Chart)
 
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Watch Sample Video Recording of Live Class About the Course Today, many individuals and working professionals related to accounts, MBAs wish to learn Advance Microsoft Excel, VBA, Macro, Reporting, Access and many more advanced commands to get familiar with Excel and also to develop desired reports from the data. Also, there are various other advantages of Advance Excel that can be enjoyed by people who know how to make use of MS-Excel and excel formulas. Topics Covered 1. Excel All Option and Command 2. Advance Formatting 3. Pivot Data Reporting and Advance Pivot Concept 4. More than 200 Excel formulas 5. Array Formulas 6. Array with VLookup, HLookup and more Formulas 7. Formulas Nesting 8. Other Data Connection (MS Access & SQL Server) 9. Dynamic Chart and Graph 10. Report Automation 11. Dashboard Reporting 12. Excel VBA Editor Concept 13. Coding object Model 14. Data type , LOOP, IF Else 15. Excel VBA Event and Formulas Making 16. User form 17. User form Connection 18. Outlook Mail Connection 19. CDO Gmail connection 20. Web Form Connection (VBA to Internet Explorer Connection) 21. Pivot and Chart VBA Event 22. Other Application and PowerPoint Connection 23. Menu bars and Add ins Creation 24. And More in Excel 2013 Level-1, - Official Excel Training Level -- 2 -- Excel Advanced Formulas and Other Data Conectvity for Automation Level -- 3 -- Excel Dashboard and Report Automation for MIS Level -- 4 -- Excel VBA Macros Programming for Report Automation Add on -- MS Access with SQL Statement and VBA Programming Who should attend Anyone who wish to make career in data analysis and MIS, Finance Professionals, Students from B.Com / Commercial Background, Administration Section, MIS Personals, VBA Programmer, Accounts Personal, Project Managers, Developers, Technical/ Test Leads, Program Managers, Project Managers, Research Workers, Freelancers, Data analysis departments Pre-requisites Basic Excel Knowledge is mandatory to attend the course Fee Details: - • 1.Level 1 to 4 (Advanced Excel & MIS Reporting with VBA Macros) - 12,000/- INR • 2.Level 1 to 3 (Advanced Excel & MIS Reporting) - 65,00/- INR • 3.Level 4 (Excel VBA Macros Programming) - 6500/- INR • 4.Complete(1 to 4 level) with MS Access15,000/- INR Benefited of Our Training *Get the 4 Days Demo Training Free *Our Training is Personal Training * only 3-5 Person in one Batch * 100% Live and Practical's Training * Received Every Classes Video Recording For Practice * Job Helping Nature * Help for Interview Preparation Watch Sample Video Recording of Live Class Advance Excel and MIS Training with VBA Macros Regards Sujeet Kumar Singh Tel - 011-29967604, 8802579388 www.iptindia.com
Data Analysis- Why use Python
 
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Tim Young from CIC (Curtin Institute of Computation) talks about the use of Python at the ‘Tools for Data Analysis: an overview of SPSS, NVivo , R and Python’ session that was held at Robertson Library on August 9th 2017. Learn about the tools available to assist with analysing your quantitative or qualitative data. This workshop was designed to help staff and postgraduate students use library resources effectively for research.
Views: 2836 Curtin Library
Excel 2016 PowerPivot and PowerQuery , Measures and KPI Data Analysis Excel PowerPivot & PowerQuery
 
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Excel 2016 PowerPivot and PowerQuery , Measures and KPI Data Analysis Excel PowerPivot & PowerQuery http://www.freepcseminars.com - Join Mailing list https://www.amazon.com/shop/tomfragale - Great deals on Computers Excel 2016 PowerPivot and PowerQuery PowerQuery, Excel 2016 PowerPivot and PowerQuery , Excel Measures, Excel KPI Data Analysis Excel PowerPivot & PowerQuery Excel 2016 Excel 2013 Tom Fragale - Expert Computer Consultant & Trainer Custom On-Site Trainings , Webinars, and Consulting available See all playlists - http://www.youtube.com/playlist?list=PLuugq1ExG0a2D3meA_gbuwt7ibh8FIBQN Subscribe - http://www.youtube.com/user/TomFragale?sub_confirmation=1 My 25 Most Popular videos Create Mailing Labels from Your Excel 2010 data using Mail Merge in Word 2010 Christmas holiday HD CC https://www.youtube.com/watch?v=-dh1KutksMY Using An Excel If Function Formula With Multiple Conditions - Excel 2010 Tutorial Examples HD CC https://www.youtube.com/watch?v=-dh1KutksMY How To Compare 2 Sheets Using The Vlookup Function Formula Excel 2007 Excel 2010 Excel 2013 Tutorial HD CC https://www.youtube.com/watch?v=nVxGFPDp53g Excel Pivot Table Tutorial - Create A Monthly,quarterly, Yearly Summary Report - Excel 2013 HD CC https://www.youtube.com/watch?v=9k1KKbOwCEM Access switchboard manager - creating a menu in Access 2010 Tutorial Access 2013 Access 2007 HD CC https://www.youtube.com/watch?v=zVm5W8h7HFk Linking Sheets - Linking Data from Different Excel Sheets and Workbooks - Excel 2010 Tutorial HD CC https://www.youtube.com/watch?v=OIL6V2jzDRI Installing an odbc driver in Windows 8 and Windows 8.1 SQL Server Oracle ODBC Driver HD https://www.youtube.com/watch?v=yJWxwDBl8-Y How to make an Access query using yes no fields - Access 2010 Tutorial Access 2013 Access 2007 HD CC https://www.youtube.com/watch?v=z6r6r91V5FY How to compare 2 tables in Access - Create a Find Unmatched Query in Access HD https://www.youtube.com/watch?v=TkZdfptGxu8 Access Crosstab Query In Access 2007, 2010, 2013 - Summary Reports Access 2010 Tutorial HD CC https://www.youtube.com/watch?v=0TJMFIlZXGQ How to reset autonumber in Access 2013, Microsoft Access 2010, and Access 2007 HD https://www.youtube.com/watch?v=hI3wS5cPUcc Creating a workflow in Sharepoint 2013 - How to create a workflow in Sharepoint HD https://www.youtube.com/watch?v=lPnxHWNtL7w How to Use a sharepoint list in Access 2013, Microsoft Access 2010, and Access 2007 Tutorial HD https://www.youtube.com/watch?v=yD5VF9h25mI How to use the lookup wizard - The Wonderful Wizards of Access - Using the Access Lookup Wizard 2010 HD https://www.youtube.com/watch?v=HamWE7XQhHE Word - Adding a Picture To Mailing Labels - Create Christmas Holiday Labels HD https://www.youtube.com/watch?v=iD9LN_esiEw How to import a text file into Access - Access 2010 tutorial CSV file Access 2007 Access 2013 HD https://www.youtube.com/watch?v=ddbf4lh7fZQ How to lock a field on an Access form HD https://www.youtube.com/watch?v=zVqCtgQoF6s How to add a great lookup field to An Access form using the combo box wizard. HD https://www.youtube.com/watch?v=HzD1T6VLDM0 How to Add data to Excel pivot tables - Excel Pivot Table tutorial HD https://www.youtube.com/watch?v=JISD4UFwHvE Syncing your sound with other animations in PowerPoint 2010 HD https://www.youtube.com/watch?v=dlDj0wRWL3c How to make General Ledger entries in Quickbooks HD https://www.youtube.com/watch?v=svzcMRaF2os How to use the Input Mask Wizard - The Wonderful Wizards of Access - Using the Input Mask Wizard HD https://www.youtube.com/watch?v=fBlT1KrQUsY How to Import Excel to Access - Excel 2010 Tutorial , Access 2010 Tutorial HD https://www.youtube.com/watch?v=ljjuU2dtO5o How to calculate the week number in Excel - Excel 2010 Tutorial HD CC https://www.youtube.com/watch?v=MwgDYeanjAk How to Print Multiple Power Point Slides on One Page HD https://www.youtube.com/watch?v=MbimotE3dhw Excel Macros Complete https://www.youtube.com/watch?v=mRCx7x4Tyfg Excel Pivot Tables Complete https://www.youtube.com/watch?v=Yzk0-u0fCCE Excel Charts https://www.youtube.com/watch?v=nDn5thIfZD4 Top 10 Functions in Excel https://www.youtube.com/watch?v=WxxLGJPUHKE Tom Fragale (215)280-1073 https://www.youtube.com/user/TomFragale
Goal Seek Analysis with Excel 2007 and SQL Server Data Mining
 
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Watch this short video to learn how to use Excel 2007 and the SQL Server Data Mining add-in to do goal analysis. ie. how can you increase sales from 10 million to 30 million? Download the Data Mining add-in here: http://www.microsoft.com/sqlserver/2008/en/us/data-mining-addins.aspx Learn more about Microsoft BI here: http://blogs.msdn.com/bi
Views: 5702 wowmsft
Create Pivot Table report in Excel by connecting SQL Server
 
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Create Pivot Table report in Excel by connecting SQL Server My SQL Blog: https://sqlwithmanoj.com/ Check my SQL FB Page at: https://www.facebook.com/sqlwithmanoj
Views: 3736 SQL with Manoj
High level Excel vs SQL
 
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Shows how some Excel functionality (filtering, sorting, vlookup) can be done using SQL. For more, see https://www.udemy.com/sql-fundamentals-for-excel-users/?couponCode=SQL_YOUTUBE
Views: 1368 Data Analysis Videos
SQL to Excel
 
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Essential tools for advanced data analysis and tables management for novice and advanced Excel users. You can learn more at: www.modeladvisor.com www.jabsoft.com
Views: 84 modeladvisor
Data Analyst HandsOn SQL Beginner Training (Week4)
 
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During the week we got familiar with Joins. understanding the difference between INNER and OUTER Joins. LEFT and RIGHT Joins. In this HandsOn session our goal is to demonstrate the trend of thought that goes into writing SQL queries based on business requirements After the session, students will have assignments and business cases to work on. Accessible from the students' portal. For assistance, send us an email [email protected]
Views: 4017 Dare Olufunmilayo
Data Analysis with Access SQL - ModelOff Solution Part1
 
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Solution to ModelOff Data Analysis Problem, Using Access SQL. Let's create a solution to the Data analysis problem, using Microsoft Access, or even better, Microsoft’s flavor of the SQL language. Download solution file from: http://blog.excelstrategiesllc.com/2014/11/06/modeloff-data-analysis-problem-solution-using-microsoft-access/ Source file: http://www.modeloff.com/portfolio-item/data-analysis/ Connect with us: http://www.ExcelStrategiesLLC.com http://Blog.ExcelStrategiesLLC.com http://Twitter.com/ExcelStrategies http://Google.com/+ExcelStrategiesLLC1 http://LinkedIn.com/in/ExcelStrategies https://www.facebook.com/pages/Excel-Strategeis-LLC/661461267303127
Views: 2885 ExcelStrategies
Data analysis using Apache spark SQL and Apache zeppelin
 
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Spark SQL: Spark SQL is a Spark module for structured data processing. Apache Zeppelin : A web-based notebook that enables interactive data analytics. You can make beautiful data-driven, interactive and collaborative documents with SQL, Scala and more. big data technologies http://godatafy.com/
Views: 16460 bigdata simplified
Introducing The Business Data Analysis with Excel and Power BI Course
 
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The Business Data Analysis with Excel and Power BI Course on Udemy at https://www.udemy.com/business-data-analysis-with-microsoft-excel/ You can also register for our in-class training at https://www.urbizedge.com/Excel
Views: 4971 Michael Olafusi
Linking to Data with Power Query Excel 2016 (Get & Transform) - Part 1
 
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https://www.datastrategywithjonathan.com This is Part 1/4 Part 1 The first step of any process should start with get and transform / power query. Even if you have no transformation steps this can be valuable. In Excel 2010 and Excel 2013 Power Query was an add-in. In Excel 2016 Power Query has been renamed to Get and Transform. Power Query / Get and Transform allows us to easily perform tasks that use to require Excel VBA. Learn the hidden tweak that makes Excel 2016 Power Query more flexible and gets it back to the way it use to work in Excel 2010 and Excel 2013. By linking with power query we can refresh our Excel dashboards with a click of a button and focus more on our Excel analytics. Part 2 Power Query (aka Get and Transform) is capable of merging data with database joins all without requiring a database. Power Query merge / join in most cases is the better alternative to vlookups and temporary / desktop database solutions. Vlookup calculations are the number one cause of slow performance when developing our Excel dashboards or Excel Analytics. No Excel VBA required. Part 3 Use Power Query (aka Get and Transform) to merge a whole folder of files together. Learn about what to look out for when using Power Query for this feature. This helps to support our Excel dashboard development and Excel analytics when working with lots of files. No Excel VBA required. Part 4 Data resulting from pivot tables often do not confirm to a tidy data format. We can correct for this using Power Query (aka Get and Transform). Power Query fill and Power Query Unpivot are powerful features that can save you a ton of time and allow you to do complex VBA like functions without having to write any VBA code. Easily transform your data ready for your Excel Dashboard or Excel data analytics. If you're looking to learn Advanced Excel, Excel VBA or Databases then you need to check out this video series. In this videos series, I will show you how to use Microsoft Excel in different ways that will make you far more effective at working with data. I'm also going to expand your knowledge beyond Excel and show you tips, tricks, and tools from other top data analytics tools such as R Tidyverse, Python, Data Visualisation tools such as Tableau, Qlik View, Qlik Sense, Plotly, AWS Quick Sight and others. We'll start to touch on areas such as big data, machine learning, and cloud computing and see how you can develop your data skills to get involved in these exciting areas. Excel Formulas such as vlookup and sumifs are some of the top reasons for slow spreadsheets. Alternatives for vlookup include power query (Excel 2010 and Excel 2013) which has recently been renamed to Get and Transform in Excel 2016. Large and complex vlookup formulas can be also done very efficiently in R. Using the R Tidyverse libraries you can use the join functions to merge millions of records effortlessly. In comparison to Excel Vlookup, R Tidyverse Join can pull on multiple columns all at the same time. Microsoft Excel Power Query and R Tidyverse Joins are similar to the joins that you do in databases / SQL. The benefit that they have over relational databases such as Microsoft Access, Microsoft SQL Server, MySQL, etc is that they work in memory so they are actually much faster than a database. Also since they are part of an analytics tool instead of a database it is much faster and easier to build your analysis and queries all in the same tools. My very first R Tidyverse program was written to replace a Microsoft Access VBA solution which was becoming complicated and slow. Note that Microsoft Access is very limited in analytics functions and is missing things as simple as Median. Even though I had to learn R programming from scratch and completely re-write the Microsoft Access VBA solution it was so much easier and faster. It blew my mind how much easier R programming with R Tidyverse was than Microsoft Access VBA or Microsoft Excel VBA. If you have any VBA skills or are looking to learn VBA you should definitely checkout my videos on R Tidyverse. To understand why R Tidyverse is so much easier to work with than VBA. R Tidyverse is designed to work directly with your data. Note the most efficient path is to reduce the data pulled down from the database in the first place. This is referring to the amount of data you are pulling down from your data warehouse or data lake. It makes no sense to pull data from a data warehouse / data lake to pull into another database to query add joins / lookups to then pull it into Excel or other analysis tool. Often analyst build these intermediate databases because they either don’t have control of the data warehouse or they need to join additional information. All of these operations are done significantly faster in a tool such as R Tidyverse or Microsoft Excel Power Query.
Views: 5410 Jonathan Ng
Forecast the Price of Gold with Excel and SQL Server - Data Mining Tutorial
 
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Learn about data mining with SQL Server 2012 Analysis Services and Excel 2013, using historical gold pricing data, to predict future prices. To follow this tutorial, you should have SSAS and the Data Mining Add-in for Excel.
Views: 6434 Edward Kench
Data Analysis with Python for Excel User Part 1  Read and Write Excel File using Pandas
 
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Data Analysis with Python for Excel User Part 1 Read and Write Excel File using Pandas In this video we are going to learn how to read excel file using pandas Python is a widely used high-level, general-purpose, interpreted, dynamic programming language. Its design philosophy emphasizes code readability, and its syntax allows programmers to express concepts in fewer lines of code than possible in languages such as C++ or Java. The language provides constructs intended to enable writing clear programs on both a small and large scale. Python supports multiple programming paradigms, including object-oriented, imperative and functional programming or procedural styles.It also supports modules and packages, which encourages program modularity and code reuse. The Python interpreter and the extensive standard library are available in source or binary form without charge for all major platforms, and can be freely distributed. The next part: https://youtu.be/-QKaVu_ebVY If you want to code in python for excel which the syntax is similar to VBA, you can go to this playlist: https://www.youtube.com/playlist?list=PL902m_5hKTbyJ4tnM0ax-7AI7VePas2QS Our money manager android app: https://play.google.com/store/apps/details?id=com.leazzy.moneymanagerleazzy
Views: 50987 Peasy Tutorial
Data Analyst Job Description | What 4 Skills Will You Need To Be A Data Analyst?
 
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In this video we are going to define the job description of a data analyst, what a data analyst does, and the best online course to become a data analyst. ► Full Playlist Explaining Data Jargon ( http://bit.ly/2mB4G0N ) ► Top 4 Best Laptops for Data Analysts ( https://youtu.be/Vtk50Um_yxA ) ► Break Into the Data Industry with the best data analytics online learning resources from Edureka! ( http://bit.ly/2yCbsac ) --- affiliate link to help support this channel!^ Currently the average pay for a data analyst is $76,419 on the button, according to glassdoor I receive a lot of questions about what it takes to become a data analyst and what is a data analyst. Clearing up what a data analyst does everyday and what that description means to someone looking to enter the data science industry What will you actually be asked to do on the day to day as a data analyst. ► Top 4 Responsibilities in the Daily Life of a Data Analyst: 1 ) Mathematics Although mathematics only makes up about 20% of the day to day life of a data analyst. It is still important to have a strong understanding of the foundations of mathematics. - Addition - Subtraction - Multiplication - Division - Most Importantly --- Statistics Data analytics is all about statistics. Most of the statistics will be handled by the tools you are working with, but in order to be a great data analyst it is best to know why the tools are producing specific results. A strong understanding of statistics will be useful to you. 2 ) Computer Programming You must be able to work proficiently in one or more computer programming languages. This make up for roughly 60%-70% of your daily work. in order to analyze data it must be queried (drawn) from a large data warehouse. You will use computer programming languages such as SQL, Python, and R to query data. Before we move on let me define the term Query, if it does not resonate with you. You need strong computer programming skills in order to accomplish this task. As a data analyst you will do a lot of drawing and analyzing data. ► For more info on databases, SQL, and other jargon check out our Video Series on Data Jargon ( https://www.youtube.com/playlist?list=PL_9qmWdi19yDhnzqVCAhA4ALqDoqjeUOr ) 3 ) Know the Tools of the Trade Once you query data from the database onto your workspace you will begin to utilize data analytics tools to process, scrub, and analyze data (data Jargon explained on our Video series ^^^). You will be able to perform these tasks by using tools like Hadoop, Open Refine, Tableau, Apache Spark, etc... As you process the data you will begin to see connections between the data sets. You will see some of the following errors and you will want to remove these in order to ensure that your data analysis is accurate: - Duplicated data - Improperly formatted data - Incomplete data - Inaccurate data - This data will corrupt your findings and could possibly lose you client or employer millions of dollars. Make sure you know how to use those data analytics tools WELL! 4 ) Communicate and Present Insights Data Analyst will also be called upon to clearly and consciously present your research to clients, managers, or executives. Ok, now I know you are curious if you are capable of learning all of these crucial skills. Yes, you can, but there is a clause. You have to learn from the best. The guys over at Edureka.co are the leading professionals in the big data training industry. Based out of India, home to over 101,000 individuals in the data science industry (at the time of this writing). They are eager to make a way for themselves in the new digital economy. They are on the cutting edge of data analytics and eager to teach it to anyone worldwide. Testimonies of increased salaries, new employment, and 597,089 (updated) satisfied learners make edureka the best choice to learn the skills you need in the data industry. Question is will you actually do it. Imagine deregulating yourself for the data industry. Right now, it is a black hole, you don't know what's inside, but it is screaming opportunity from the darkness. TURN ON THE LIGHT and break into the data industry. A future proof opportunity for the next decade and beyond. ► Edureka Big Data Masters Program ( http://bit.ly/2yCbsac ) affiliate link^ ------- SOCIAL Twitter ► @jobsinthefuture Facebook ►/jobsinthefuture Instagram ►@Jobsinthefuture WHERE I LEARN: (affiliate links) Lynda.com ► http://bit.ly/2rQB2u4 edX.org ► http://fxo.co/4y00 MY FAVORITE GEAR: (affiliate links) Camera ► http://amzn.to/2BWvE9o CamStand ► http://amzn.to/2BWsv9M Computer ► http://amzn.to/2zPeLvs Mouse ► http://amzn.to/2C0T9hq TubeBuddy ► https://www.tubebuddy.com/bengkaiser ► Download the Ultimate Guide Now! ( https://www.getdrip.com/forms/883303253/submissions/new ) Thanks for Supporting Our Channel!
Views: 95594 Ben G Kaiser
Database Analysis using Excel- Sage 300 Database Queries, Filters
 
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This training videos is for any Sage 300 customer who is interested in using Microsoft Excel to analyze their GL data. We will create a Database Query in Excel to connect to Sage 300 data and then analyze that data using Filters and Pivot Tables. Thank you, Doug Leasure Note: you will probably be more interested in my new video using Power Query: https://youtu.be/fWn_sR3EEJQ
Views: 1272 ActivePlanner