Quantitative methods in Excel for MBA and professionals

Quick introduction to key regression techniques using the Excel Analysis ToolPak from an experienced MBA instructor

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)

تحليل البيانات في Excel مع ترجمة باللغة العربية

Datenanalyse in Excel mit Untertiteln in deutscher Sprache

带有简体中文字幕的Excel中的数据分析

हिंदी भाषा में उपशीर्षक के साथ एक्सेल में डेटा विश्लेषण

한국어 자막으로 Excel 데이터 분석

Uchambuzi wa data huko Excel na manukuu kwa lugha ya Kiswahili

Quantitative methods in Excel for MBA and professionals

Quick introduction to key regression techniques using the Excel Analysis ToolPak from an experienced MBA instructor»

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