Linear Regression in Excel with ChatGPT and Claude AI
Linear Regression in Excel with ChatGPT and Claude AI, available at $54.99, has an average rating of 4.5, with 16 lectures, 3 quizzes, based on 72 reviews, and has 9555 subscribers.
You will learn about 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 This course is ideal for individuals who are Beginner Excel data analysts or MBA students or Business analysts working in Excel or Professionals working in data analytics or pre-MBA students or Data analysts or Researchers It is particularly useful for Beginner Excel data analysts or MBA students or Business analysts working in Excel or Professionals working in data analytics or pre-MBA students or Data analysts or Researchers.
Enroll now: Linear Regression in Excel with ChatGPT and Claude AI
Summary
Title: Linear Regression in Excel with ChatGPT and Claude AI
Price: $54.99
Average Rating: 4.5
Number of Lectures: 16
Number of Quizzes: 3
Number of Published Lectures: 16
Number of Published Quizzes: 3
Number of Curriculum Items: 19
Number of Published Curriculum Objects: 19
Original Price: $109.99
Quality Status: approved
Status: Live
What You Will 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
Who Should Attend
- Beginner Excel data analysts
- MBA students
- Business analysts working in Excel
- Professionals working in data analytics
- pre-MBA students
- Data analysts
- Researchers
Target Audiences
- Beginner Excel data analysts
- MBA students
- Business analysts working in Excel
- Professionals working in data analytics
- pre-MBA students
- Data analysts
- Researchers
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:
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Harness the full potential of Excel’s analytical capabilities for multivariate analysis
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Conduct in-depth correlation analyses to identify and quantify variable interactions
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Build robust regression models to forecast future trends and uncover causal relationships
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Transform raw data into actionable insights through advanced statistical modeling
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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)
Course Curriculum
Chapter 1: Regression with Analysis ToolPak in MS Excel
Lecture 1: Business applications of linear regression
Lecture 2: Modelling binary variable and time series
Lecture 3: First regression with Analysis ToolPak in Excel
Lecture 4: Interpreting the results of the linear model
Lecture 5: AI 2024 tutorial: Can ChatGPT identify data for a business problem?
Chapter 2: Qualitative Variables: will a customer churn?
Lecture 1: Descriptive statistics, correlation, histograms in Excel
Lecture 2: 2024 update: Unleash the power of Claude.AI for exploratory data analysis
Lecture 3: Qualitative variables in linear regression
Lecture 4: Estimating the probability of customer churn in Excel
Lecture 5: How to fix error messages when running regression in MS Excel
Chapter 3: Time Series: seasonal effects, trend and serial dependence
Lecture 1: Time Series – seasonal effects and trend
Lecture 2: Seasonal effects and trend in Excel
Lecture 3: 2024 AI class: Empowering regression analysis with Claude.AI
Lecture 4: Time Series – lagged variables, exponential smoothing and moving average
Lecture 5: Lagged variables, exponential smoothing and moving average in Excel
Lecture 6: Getting external data to Excel: 2023 update
Instructors
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Maksym Obrizan
MBA Instructor and Business Consultant
Rating Distribution
- 1 stars: 1 votes
- 2 stars: 5 votes
- 3 stars: 4 votes
- 4 stars: 17 votes
- 5 stars: 45 votes
Frequently Asked Questions
How long do I have access to the course materials?
You can view and review the lecture materials indefinitely, like an on-demand channel.
Can I take my courses with me wherever I go?
Definitely! If you have an internet connection, courses on Udemy are available on any device at any time. If you don’t have an internet connection, some instructors also let their students download course lectures. That’s up to the instructor though, so make sure you get on their good side!
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