Linear Regression in Excel with ChatGPT and Claude AI
What you'll learn
- Unleash the power of ChatGPT and Claude AI for multivariate analysis
- Learn how to interpret regression output
- Apply regression analyses in Excel using Analysis ToolPak
- Build and test models for forecasting
- Analyze continuous and discrete variables as well as time series data
- Focus on examples and interpretation with a necessary minimum of theory
- Identify links in business data using econometric techniques
- Analyze business data, interpret results and make predictions with AI
Requirements
- Basic Excel
Description
Bestseller course with students from 142 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 multivariate 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 data 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.
Take this course and you will:
Harness the full potential of Excel's analytical capabilities for multivariate analysis
Conduct in-depth correlation analyses to identify and quantify variable interactions
Build robust regression models to forecast future trends and uncover causal relationships
Transform raw data into actionable insights through advanced statistical modeling
Leverage Excel Analytics to visualize complex multivariate data and communicate findings effectively
Whether you're a data analyst, business professional, researcher, or student, this course will equip you with the skills to tackle even the most complex datasets with confidence. Unleash the true power of your data and elevate your analytical prowess to new heights.
Enroll now and embark on a journey to become a multivariate analysis master, unlocking a world of opportunities in data-driven decision-making and strategic planning.
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)
Who this course is for:
- Beginner Excel data analysts
- MBA students
- Business analysts working in Excel
- Professionals working in data analytics
- pre-MBA students
- Data analysts
- Researchers
Instructor
- 4.6 Instructor Rating
- 116 Reviews
- 9,746 Students
- 4 Courses
I am a Ukrainian economist and consultant who has worked in Kyiv since 2010 and never left Ukraine even during 2022.
I have been teaching for business and professional audience since 2004 and find this experience very rewarding. I have taught for undergraduate, MA and MBA students as well as managers from various industries, government officials, journalists and even coal miners!
Managers and professionals usually do not have as much time as students, hence, I make my courses concise with focus on business applications rather than theory.
After obtaining PhD in Economics from the University of Iowa (2010) I have been Assistant and then Associate Professor at KSE. I have also consulted companies on data analytics in energy and FMCG sectors and participated in projects with USAID, World Bank, EBRD, the Economist Intelligence Unit. Finally, I am the author of 17 publications at SCOPUS.