
Download these files before starting the course.
Explore how Excel imports external data using Get External Data tools. From access and sequel server to text sources, learn when to return data as a table or pivot table.
Learn how relational databases store data in related tables—customers, orders, products, categories, and line items—using primary and foreign keys, normalization, joins, and queries to support pivot table analysis.
Explore what queries are, how to create them using graphical interfaces or SQL, join related tables, apply filters and sorts, and generate pivot table results.
Learn to create a pivot table from Access data in related tables, using the from Access button or a saved query, with Microsoft Query for multi-table queries.
Learn to import external data into Excel using Microsoft Query, create data sources (such as Access and SQL Server), define queries, and return results to Excel.
Base a pivot table on external data using the create pivot table dialog by selecting an existing connection. Or browse for a new data source and view the connection details.
Explore how power pivot enhances Excel 2010 with in-memory, multi-million row data handling, data relationships across tables, and advanced pivot capabilities using DAX expressions.
Explore the main power pivot features and the depth of the DAX language, with emphasis on the analyze data calculation section and the value of built-in help.
Discover the Power Pivot user interface, including the Power Pivot tab, window views, and tools for creating calculated fields, linking data sources, and managing relationships in the data model.
Import Azure Data Market datasets into Excel Power Pivot to enrich your data with calendar and weather tables, using a Microsoft account and data subscriptions.
Learn how to load data into Power Pivot from Excel, linked tables, and external sources, including refreshing linked data and preparing datasets for pivots.
Learn to create and manage power pivot relationships by linking tables with primary and foreign keys, either by dragging or using the create relationships dialog, enabling accurate pivot tables.
Build pivot tables in power pivot by linking data sources through relationships and using the power pivot field list. Create pivot charts with slicers and distinct counts.
Explore how the DAX language powers advanced data analysis in Power Pivot by creating calculated columns and measures, with practical examples of net revenue.
Master DAX functions in Power Pivot with intellisense guidance, exploring calculate, calculate table, values, and all, and use DAX reference help to understand arguments and return values.
Learn to create calculated columns with dax in power pivot, using table and field names, filling whole columns, and leveraging related and format functions for date, text, and revenue calculations.
Explore how to use the related and relatedtable functions to create calculated columns and pull product data into sales, while summing returns with sumx across related tables.
Explore whether to denormalize an Excel data model in Power Pivot and learn how to relate tables using primary and foreign keys, avoiding unnecessary lookups while building effective pivot tables.
Learn how to create DAX measures in Power Pivot, compare explicit and implicit measures with calculated fields, and understand filter context in the data model.
Learn how to create measures (revenue, cost, profit) using sums, build ratios like revenue to profit, and see how redefining base measures updates all dependent measures via pivot tables.
Explore how the DAX calculate function reshapes pivot table filters via filter context to create powerful measures, using real examples like sales of computers by Europe and year slicers.
Explore PowerPivot date functions to create time-based measures using a calendar table, including YTD and year-over-year calculations with date add for pivot tables.
Explore hierarchies in OLAP cubes with Power Pivot to drill down from yearly totals to quarterly and monthly using date, geography, and product dimensions.
Create and manage named sets in power pivot to apply reusable filters for pivot tables, enabling targeted country or quarter comparisons and correct grand totals.
Consolidate your Power Pivot and advanced BI skills through hands-on practice, experimentation, and ongoing learning with software help and reputable books to stay ahead in technology.
This course takes up where the Optima Train Excel 2010 Pivot Tables and Pivot Charts course leaves off. It has two primary themes, each ultimately related to data analysis with pivot tables. First, it teaches you a number of methods for importing external data (from a database, text files, or other sources) into Excel for analysis. Second, it devotes considerable time to the PowerPivot add-in introduced with Excel 2010. To learn Excel PowerPivot and Business Intelligence Tools quickly and effectively, download the companion exercise files so you can follow along with the instructor by performing the same actions he is showing you on the videos.
***** 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 40 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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