SoveltoX: Essential Statistics for Data Analysis using Excel

Gain a solid understanding of statistics and basic probability, using Excel, and build on your data analysis and data science foundation.

This is a virtual course run on SoveltoX -platform.

Pursue a verified certificate to highlight the knowledge and skills you gain. See related products below for more.

Study on SoveltoX

This is a self-study course in SoveltoX -learning platform. The course is free of charge. Optionally you may verify your course completion with official Microsoft certificate through using Course Completion Voucher!

About this course

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.

As a data science pro, the ability to analyze data helps you to make better decisions, and a solid foundation in statistics and basic probability helps you to better understand your data. Using real-world concepts applicable to many industries, including medical, business, sports, insurance, and much more, learn from leading experts why Excel is one of the top tools for data analysis and how its built-in features make Excel a great way to learn essential skills.

Before taking this course, you should be familiar with organizing and summarizing data using Excel analytic tools, such as tables, pivot tables, and pivot charts. You should also be comfortable (or willing to try) creating complex formulas and visualizations.

What you’ll learn

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




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Pekka Korhonen

Pekka Korhonen


SQL Server Master, Master Certified (MCSM: Data Platform), MCSE: Data Platform, MCSE: Business Intelligence, MCSA, MCTS, MCT, MCITP.