
Introduction to the course. How and what we will learn!
Let's talk a bit about how the learning will take place. Some tips to even better understand the topics.
Here are the data used later in the course. If you consider recreating example yourself or just trying things out - please download these files and find file you are interested in.
Good luck crunching big data!
Installing Power Pivot is a breeze:
Excel 2010:
Excel 2013:
Power Pivot comes pre-installed with Office Professional Plus or Office 365. However, it should be still enabled:
Import text data into Power Pivot to build a product table from text files and compute revenue by subtracting cost from price, with live refresh when sources change.
Import and integrate Access databases into Excel using Power Pivot, choosing between table import or custom queries, adjust prices, edit connections, and build pivot tables from imported data.
Learn how to connect to a SQL database from Power BI, configure the connection wizard, and import data from multiple tables or write a query.
Learn how data tables form a simple data model in Excel power pivot by creating linked products, transactions, and stores tables and evaluating refresh versus copy-paste updates.
Explore how to create data tables in Excel, connect them with Power Pivot, and build a data model to perform advanced analysis by linking tables and refreshing data automatically.
Learn how to create and use relationships between multiple tables in Excel Power Pivot to analyze revenues by region, without collapsing data into a single table.
Link transactions to stores and products in Excel Power Pivot to build a relational data model, then analyze regional units sold by date.
Create calculated columns in Power Pivot using DAX, calculate revenue per row with unit price 98, and apply logical filters. Learn table references, naming, quotes, using results in pivot tables.
Aggregate transactional sales data by year or month and visualize trends in Excel using pivot table and Power Pivot. Create year and month fields, add slicers, and chart units sold.
Learn to fetch data from another table using the related function and establish relationships between tables to compute revenue and exact profit from units sold.
Learn to build pivot tables in Power Pivot, analyzing revenue by region, year, and store with measures like average revenue, using filters and subtotals.
Explore pivot table customization in Excel: toggle subtotals and grand totals for rows and columns, adjust layout to tabular form, show banded rows, and enable per-column filters for easy copying.
Explore how slicers enable interactive exploration in Excel Power Pivot, linking multiple pivot tables, filtering by region and product, and customizing slicer connections for consistent totals.
Apply slicers and filters in Excel Power Pivot to connect multiple pivot tables, filter by store name and year, and synchronize revenue and units across tables.
Summarize the topics by mastering big data in Excel with Power Pivot, covering import options, relationships, daks language, and best practices for pivot tables and shared dashboards.
Learn big data analytics directly in Excel 2010 or 2013.
Power Pivot is free Excel add-in developed by Microsoft. It is designed to deal with large complex data sets. No programming required!
Always working on real examples - the course is specifically based on real world use cases. No long slides, but rather hands on examples. All material used in lectures is available for download. Students are highly encouraged to experiment with data themselves.
Comprehensive assignments will be available after each section. These will let you check newly acquired knowledge in practice.
At any time I will be available to answer questions or simply discuss some interesting topic.
At the end of the course you will feel comfortable in multiple areas:
Taking into account exercises and assignment, course could be completed in a ~4 days 2-3 hours per day.
Let's get ready for era of big data.