Quantitative methods in Excel for MBA and professionals

Bestseller course with students from 139 countries updated in 2024 with modern AI tools!

Do you still use old-fashioned approaches to learn data analytics that take tens of hours to do the basic analysis? Do you want to speed up your learning of business data applications with the help of modern AI tools such as ChatGPT and Claude AI? Then this course is for you!

There are many great Econometrics courses on Udemy which sell in thousands of copies. However, busy MBA students and professionals might not have time to learn programming to run econometric models in Python, R, Stata or Eviews. MS Excel, on the other hand, is a familiar and accessible tool which can be used for advanced data analytics.

In this concise course I have carefully selected the most important econometric tools and techniques that are really needed to understand the complicated relationships that exist in your data. Linear regression is the absolute must for data analysis and Analysis ToolPak is a simple yet powerful feature available in MS Excel. The key concepts used in this course have been distilled based on my experience with many groups of business students that I have taught in three MBA programs and many companies since 2014.

This course is built around the notion of linear regression – a fantastic tool that you can use to (i) identify the strength of the relationships between variables that might exist in your data, (ii) test whether these relationships are robust in a statistical sense, and (iii) use the model for prediction. Linear regression is a classic and robust method that is easy to understand and interpret; it is widely used in the industry, and it works with virtually any data (after certain modifications).

Improved English subtitles (not automatically generated)