Linear Regression in Excel with ChatGPT and Claude AI

Multivariate Analysis | Forecasting | Statistical Modeling | Excel Analytics | Microsoft Excel | Regression Analysis
4.51 (75 reviews)
Udemy
platform
English
language
Data & Analytics
category
instructor
Linear Regression in Excel with ChatGPT and Claude AI
9 564
students
3 hours
content
May 2024
last update
$19.99
regular price

Why take this course?

🌟 Course Title: Linear Regression in Excel with ChatGPT and Claude AI 🚀

Course Headline: Multivariate Analysis | Forecasting | Statistical Modeling | Excel Analytics | Microsoft Excel | Regression Analysis

🔥 Bestseller course with students from 142 countries updated in 2024 with modern AI tools! 🚀

Who is this for? Are you a busy MBA student or a professional who's looking to dive into data analytics but doesn't have the time to learn complex programming languages like Python, R, Stata, or Eviews? If so, this course is your golden ticket!

Why take this course? 🤔

  • Excel Mastery: Learn to harness Excel's powerful analytical tools without needing to code.
  • Advanced Analytics: Perform in-depth correlation analyses and build robust regression models right within Excel.
  • Insightful Visualizations: Transform raw data into compelling visualizations that clearly communicate your findings.
  • Practical Skills: Whether you're a data analyst, business professional, researcher, or student, this course will give you the practical skills to handle complex datasets with confidence.

What you'll learn: 📚

  1. Multivariate Analysis: Harness Excel's analytical capabilities for in-depth multivariate analysis.
  2. Correlation Analyses: Identify and quantify interactions between variables to understand complex relationships.
  3. Regression Modeling: Build models that can forecast future trends and reveal causal relationships within your data.
  4. Statistical Modeling: Transform raw data into actionable insights, making you an expert in statistical modeling.
  5. Excel Analytics: Utilize Excel Analytics to visualize multivariate data effectively.
  6. Communicating Findings: Learn how to communicate your findings and insights clearly and effectively.

Why choose this course? 🏆

  • Tailored for Non-Programmers: Perfect for those who prefer using Excel over coding in complex languages.
  • Real-World Application: The skills you learn here are directly applicable to real business scenarios.
  • Comprehensive Coverage: This course distills the most important econometric tools and techniques used in data analysis.
  • Proven Methods: Based on the author's extensive experience teaching MBA students and professionals since 2014, you can trust the methods taught here.

Course Instructor: Maksym Obrizan 🧑‍🏫

  • Over a decade of experience in teaching business analytics to MBA students across three programs.
  • A seasoned professional with hands-on expertise in applying these techniques in various companies.

Key Concepts:

  • Linear Regression: The backbone of this course, providing insights into the relationships between variables.
  • Analysis ToolPak: An Excel feature that simplifies complex data analysis tasks.

Course Highlights:

  • Learn through practical examples and real-world case studies.
  • Engage with improved English subtitles for a better learning experience.
  • Get access to exclusive resources and materials designed to complement your learning journey.

📆 Enroll now and start your journey to becoming a multivariate analysis master, unlocking a plethora of opportunities in data-driven decision-making and strategic planning! 🚀

Don't let complex datasets intimidate you. With this course, you'll be equipped with the tools and knowledge to analyze, predict, and succeed in the data-centric world of business. Join us today and transform your approach to data analysis! 📊✨

Course Gallery

Linear Regression in Excel with ChatGPT and Claude AI – Screenshot 1
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Screenshot 4Linear Regression in Excel with ChatGPT and Claude AI

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3240940
udemy ID
16/06/2020
course created date
07/08/2020
course indexed date
Lee Jia Cheng
course submited by