
Explore self-service BI in Excel 2016 by importing data with Power Query, modeling it with Power Pivot, and creating pivot table insights with DAX, Power View, and Power Map.
Learn how to import data into Excel 2016 using old external data methods and the new power query tools, with a query editor and workbook-stored steps.
Explore the fundamentals of relational databases, including tables, primary and foreign keys, and many-to-one and many-to-many relationships. Learn how normalization and joins enable efficient data retrieval and complex queries.
Discover what queries are, how to build them by joining related tables, selecting fields, applying filters and sorts, and using graphical interfaces or SQL for pivot tables.
Explore power query in excel 2016, built into the data ribbon as get and transform, to import data from web and other sources, save queries as repeatable steps.
Explore the Power Query user interface to locate data sources, shape data, and load results into the data model for analysis with pivot tables and Power Pivot features.
Explore advanced Power Query techniques, including from folder imports, data shaping, splitting columns, and loading into an Excel table; learn to append and merge queries, and create calculated revenue columns.
Master Microsoft Query to import external data into Excel by defining a data source (Access, SQL Server), building a query, and returning results to a pivot table.
Explore pivot table technologies in Excel 2016, including power pivot, measures, hierarchies, and DAX, to analyze data models and drill down for insights.
Explore OLAP, online analytical processing, with preprocessed cube data built from dimensions and facts to drill down in pivot tables.
Explain the Excel data model and Power Pivot in Excel 2016, noting version requirements and add-ins like Power View and Power Map for pivot tables.
This lecture demonstrates building pivot tables from multiple sources using the Excel data model, establishing primary-key and foreign-key relationships, and managing connections with or without Power Pivot.
Explore how the excel data model in excel 2016 enables handling multi-table datasets beyond the 1 million row limit, with in-memory storage, table relationships, and name sets for powerful pivot reports.
Explore how the Excel data model imports tables from multiple sources, creates relationships, and bases pivot tables on an in-memory model; Power Pivot adds DAX calculations for columns and measures.
Learn how to migrate from Power Pivot for Excel 2010/2013 to Excel 2016, noting data model changes, the enabled measures button, and terminology shifts from calculated fields to measures.
Discover the main power pivot features, leverage built-in Excel 2016 help, and learn the decks language through tutorials and examples to boost your pivot table calculations.
Explore the Power Pivot user interface in Excel 2016, including the Manage button. See how measures, KPIs, and the data model show relationships between tables in diagram view.
load data into power pivot using three options—copy and paste, linked tables, or importing from another data source such as an Excel file—and build a single power pivot data model.
Create relationships in Power Pivot by linking foreign keys to primary keys across Access, Excel, and text data sources, using diagram view or the create relationships dialog.
Learn to build pivot tables in Power Pivot, relate multi-source data in the data model, and use distinct count and slicers to analyze sales by year, month, and geography.
Explore advanced pivot table techniques in power pivot, including pivot charts, slicers, report connections, and flattened pivot tables to quickly create independent visualizations from related data sources.
Explore data view in Power Pivot to inspect imported data, hide irrelevant columns, and create calculated columns and measures with the DACs language, while formatting changes don’t affect pivot tables.
Explore how DAX powers Power Pivot calculations, creating calculated columns and measures to analyze data, compute net revenue, and build reusable results in the data model.
Learn to master DAX functions in Power Pivot using intellisense and help to understand arguments and return values, with examples of calculated columns, measures, and the calculate function.
Create calculated columns in Power Pivot using DAX, referencing tables and columns, using the related function to pull fields from related tables, and applying date, text, math, and logical functions.
Use the related and relatedtable functions to pull product data into sales and compute margin, and learn sumx for aggregating return amounts across related tables.
Explore when to denormalize an Excel data model for pivot tables in Power Pivot, using related tables and primary and foreign keys instead of a single flat table.
Learn to create DAX measures in Power Pivot, compare them with calculated fields and explicit versus implicit measures, and apply filter context across pivot tables.
Learn how defining explicit measures such as revenue, cost, and profit saves time, and how derived measures update automatically in PowerPivot reports.
Learn how pivot tables evaluate cells by tracing filters through data model, from geography and stores to products and dates, using power pivot measures such as revenue and products sold.
Identify the challenges of many-to-many relationships in power pivot and apply a distinct-count measure in the sales table to ensure lookups flow from the many side to the one side.
Learn to count distinct values in Power Pivot. Explore methods using pivot table with distinct count, calculated columns, and DAX measures for distinct count and distinct.
Explore the DAX calculate function to build powerful measures and pivot tables by applying filters and replacing pivot table filters with calculate filters, demonstrated with year, product category, and Europe.
Learn to use the CALCULATE function in PowerPivot to build total sales and total US sales measures, override filters with the all function, and compute geography-based percent of US sales.
Enable Power View in Excel 2016 via COM add-ins and the Developer tab to create insightful reports—tables, charts, or maps—with simple filtering.
Learn how Power View's user interface interacts with the Excel data model to build reports, including creating calculated columns, measures, and hierarchies, and managing fields, filters, and visuals.
Explore the diverse Power View report types in Excel 2016, from tables and charts to maps and cards, using interactive filters and slicers to reveal insights.
Consolidate your Excel 2016 PowerPivot, PowerQuery, PowerView, and BI skills through hands-on practice, experimentation, and ongoing use of online help and trusted resources.
This course takes up where the Optima Train Excel 2016 Pivot Tables Deep Dive course leaves off. It all revolves around the fairly new suite of Microsoft “Power” tools, often referred to as Power BI. The course has three primary themes. First, it teaches you a number of methods for importing data (from a database, text files, or other sources) into Excel. The primary emphasis is on Power Query. Second, it devotes considerable time to the Excel Data Model and Power Pivot for analyzing data with pivot tables. These take traditional pivot tables to a whole new level. Third, it shows how Power View and Power Map can be used to create insightful reports and maps with very little work.
***** THE MOST RELEVANT CONTENT TO GET YOU UP TO SPEED *****
***** CLEAR AND CRISP VIDEO RESOLUTION *****
***** COURSE UPDATED: February 2016 *****
“When I first looked up this site I was a bit skeptical, but I soon realized how amazing these courses are. They have helped me excel in all my business classes. The PowerPivot course now makes business analytics easy and at my fingertips." - Wilson Xu, STUDENT
“The Optima Train two part series on Pivot Tables is pure gold! The material is so amazingly thorough and clear that anyone watching the videos and doing the exercises provided will without a doubt become a true expert at working with Pivot Tables and likely become a hero at work by applying and sharing this new-found knowledge. There is nothing like it on the market." - Phil, FORMER TREASURY OPERATIONS MANAGER - EXXONMOBIL
99.9% of Excel users do not use PowerPivot but those that do are in elite company. Power Pivot allows end users with no business intelligence or data analytics training to develop data models and calculations. The tide has shifted where the knowledge worker can perform analysis on millions of records without using specialized IT software or the help of business intelligence consultants. Learning PowerPivot and DAX will take your Excel skills to the very top. People who know Pivot Tables and Pivot Charts should take the next logical step and learn a skill set that is in very high demand and in short supply. Become an indispensable resource at your work place. Simplify your work and personal life by learning this extremely powerful tool.
This is the most comprehensive Excel PowerPivot and Advanced Business Intelligence course and has 47 short video tutorials. The Pivot Tables and Pivot Charts course serves as a prequel to this highly valuable course. There is zero fluff and no time wasted in this course. The instructor, Dr. Chris, has decades of experience using Excel in real-world settings solving complex business problems. There is no quicker way to learn Excel PowerPivot than to watch these videos and follow along with the free companion exercise workbooks which are downloadable. If you want to stand out among your colleagues, earn a promotion, further your professional development, save tons of hours every year, and learn Excel PowerPivot and Advanced Business Intelligence Tools in the quickest and simplest manner then this course is for you!
You'll have lifetime online access to watch the videos whenever you like, and there's a Q&A forum right here on Udemy where you can post questions.
We are so confident that you will get tremendous value from this course. Take it for the full 30 days and see how your work life changes for the better. If you're not 100% satisfied, we will gladly refund the full purchase amount!
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