Do you want to learn about MS Excel and become a pro? The Data Analysis Free Course 2025 is designed to provide you with an introductory course regarding MS Excel and to polish your calculations and analytical skills. This OpenLearn Data Analysis course is free of cost and is divided into four sessions. The first introductory session includes accessing MS Excel, adding decimal points and dates, and using shortcut keys in Excel. Similarly, it also provides guidance about the use of Excel spreadsheets and how to open an Excel file in different formats. The duration of this free course is 6 hours and you will gain in-depth knowledge about MS Excel, what errors you need to avoid, and how to advance your calculating skills. Keep on reading to know more about this online course.
In addition to this, by learning this Data Analysis Free Course, you would be able to write and perform mathematical operations professionally. The second session of this online data analysis course consists of univariate data visualization. It also tells you in detail about the frequency tables, the type of frequency distributions, and the concepts involved in that. You will also get a chance to take the end-of-session quiz and analyse your performance. The main purpose of this OpenLearn Free Data Analysis Course is to advance your mathematical skills so that you can stand out in competitions.
Similarly, the third session of this free data analysis course consists of bivariate data. This session provides detailed guidance on what contingency tables are and how to use them. After completing this course, you will be able to perform mathematical calculations concisely and learn how to use shortcut keys in MS Excel. You will also get a statement of participation after the completion of your free online course. This online course will help you differentiate between bivariate and univariate tables. For more details about this Data Analysis Course, read below.
More details about the Data Analysis Free Course 2025
- Session 1: Introduction to Excel Spreadsheets
- Session 2: Univariate Data
- Session 3: Bivariate Data
- Session 4: Conclusion