Course 1 - Introduction to Data Analysis using Excel

Learn the basics of Excel, one of the most popular data analysis tools, to help visualize and gain insights from your data. 


In this course, you will learn how to perform data analysis using Excel’s most popular features. You will learn how to create pivot tables from a range with rows and columns in Excel. You will see the power of Excel pivots in action and their ability to summarize data in flexible ways, enabling quick exploration of data and producing valuable insights from the accumulated data. 


What you'll learn

 

  • Create flexible data aggregations using pivot tables
  • Represent data visually using pivot charts
  • Calculate margins and other common ratios using calculation on pivot table
  • Filter data using slicers in multiple pivot tables 
  • Create aggregate reports using formula based techniques



After taking this course you’ll be ready to continue to a more advanced Excel course, Analyzing and Visualizing Data with Excel. 

Course 2 - Analyzing and Visualizing Data with Excel

Learn how to import data from different sources, create mashups between data sources, and prepare data for analysis. After preparing the data, find out how business calculations can be expressed using the DAX calculation engine. See how the data can be visualized and shared to the Power BI cloud service, after which it can be used in dashboards, queried using plain English sentences, and even consumed on mobile devices. 


 

Module 1


Setup the lab environment by installing Office applications. Learn how to perform data analysis in Excel using classic tools, such as pivot tables, pivot charts, and slicers, on data that is already in a worksheet / grid data. Explore an Excel data model, its content, and its structure, using the Power Pivot add-in. Create your first DAX expressions for calculated columns and measures.



Module 2


Learn about queries, and build an Excel data model from a single flat table. Learn how to import multiple tables from a SQL database, and create an Excel data model from the imported data. Create a mash-up between data from text-files and data from a SQL database.



Module 3


Get the details on how to create measures to calculate for each cell, filter context for calculation, and explore several advanced DAX functions. Find out how to use advanced text query to import data from a formatted Excel report. Perform queries beyond the standard user interface.



Module 4


Explore ways to create stunning visualizations in Excel. Use the cube functions to perform year-over-year comparisons. Create timelines, hierarchies, and slicers to enhance your visualizations. Learn how Excel can work together with Power BI. Upload an Excel workbook to the Power BI service. Explore the use of Excel on the mobile platform.

Course 3 - Essential Statistics for Data Analysis using Excel

If you’re considering a career as a data analyst, you need to know about histograms, Pareto charts, Boxplots, Bayes’ theorem, and much more. In this applied statistics course, use the powerful tools built into Excel, and explore the core principles of statistics and basic probability—from both the conceptual and applied perspectives. Learn about descriptive statistics, basic probability, random variables, sampling and confidence intervals, and hypothesis testing. And see how to apply these concepts and principles using the environment, functions, and visualizations of Excel. 



What you'll learn

 

  • Descriptive statistics
  • Basic probability
  • Random variables
  • Sampling and confidence intervals
  • Hypothesis testing


 

Prerequisites


  • Secondary school (high school) algebra
  • Ability to work with tables, formulas, and charts in Excel
  • Ability to organize and summarize data using Excel analytic tools such as tables, pivot tables, and pivot charts