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The Complete Data Analysis Course Using ChatGPT

Welcome to The Complete Data Analysis Using ChatGPT, a practical course designed to help you use AI to simplify and enhance your data analysis workflow. Whether you are a student,...

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Published 2026 · Last updated Aug 2026

The Complete Data Analysis Course Using ChatGPT

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Course overview

Course Overview

Welcome to The Complete Data Analysis Using ChatGPT, a practical course designed to help you use AI to simplify and enhance your data analysis workflow. Whether you are a student, researcher, data professional, or beginner, this course will show you how to leverage ChatGPT to work with data, uncover meaningful insights, and communicate analytical findings effectively—without requiring prior programming or AI experience.


The course covers the complete data analysis process, from data preprocessing and cleaning to exploratory data analysis, visualization, interpretation, and reporting. You will learn how to use ChatGPT to explore datasets, identify patterns and trends, perform statistical analysis, generate visualizations, create detailed reports, and support data-driven decision-making. Through practical examples and hands-on demonstrations, you will learn how to integrate AI into your existing data analysis workflow and improve your productivity.


By the end of this course, you will have the practical skills to use ChatGPT as an effective AI-assisted data analysis tool for academic, professional, and research projects.

Learning Outcomes

Understand the fundamentals of using ChatGPT for data analysis.

Prepare, clean, and transform datasets using ChatGPT.

Conduct exploratory data analysis to identify patterns, trends, and insights.

Generate and interpret data visualizations using ChatGPT.

Create comprehensive analytical reports using AI-assisted techniques.

Integrate ChatGPT into your data analysis workflow to improve productivity and support data-driven decision-making.

What you walk away with

Career Map & Skills You Gain

Every course adds to three macro skills. Log in to swap platform averages for your own numbers.

Financial skills

62th

percentile

Your salary vs. learners in these roles

After this course+14 pts → 76th

Data Analysis and Research Specialist

78% course score

+8

Project Contributor

66% course score

+7

Independent Practitioner

61% course score

+6

Employability skills

71th

percentile

Quiz scores from the courses you finish

After this course+18 pts → 89th

Understand the fundamentals of u...

64% course score

+6 pts

Prepare, clean, and transform da...

70% course score

+7 pts

Conduct exploratory data analysi...

76% course score

+8 pts

Generate and interpret data visu...

82% course score

+8 pts

Life skills

48th

percentile

Life-skill test scores after each course

After this course+11 pts → 59th

Critical thinking

76% course score

+8 pts

Decision-making

71% course score

+7 pts

Analytical mindset

68% course score

+7 pts

Curriculum

9 modules · 69 lessons · 8 hr 22 min

Each module pairs the hand calculation with the same analysis in Excel, SPSS, R and Python.

What is ChatGPT and Why You Must Know About It?
7:20
Account Creation and Choosing Between Free and Paid Version of Chat GPT
7:40
Downloading and Installing Anaconda and Running Jupyter Lab
3:39
Learning to Import an Excel Data File in Jupyter Lab with ChatGPT Code
9:22
Developing Familiarity with Jupyter Lab Note Book
5:22
What is Prompt Engineering?
8:18
Ten Principles of Effective Prompt Engineering Part 1
13:08
Understanding Temperature and Top-k Parameters
3:32
Understanding Pivoting
6:37
Depth Safety and Evaluation Principles of Prompt Engineering
7:14
Prompt Engineering Example Asking ChatGPT to Suggest Right Statistical Test
8:59
Prompt Engineering Example Using ChatGPT to Find an Impactful Research Idea
17:29
How to Use ChatGPT to Generate a Simulated Dataset for Factor Analsyis
16:33
Using ChatGPT for Manual Calculation of Factor Loadings
11:09
How to Use ChatGPT to Generate APA Style Tables
6:05
Using ChatGPT to generate APA style Write Up
4:00
Using ChatGPT to create a List of Major Statistical Test with Formula
5:44
Data Screening Using ChatGPT
1:20
Missing Value Analysis Methods Naive vs Imputation Methods
5:38
Understanding Listwise vs. Pairwise Deletion
5:09
Missing Value Analysis Imputation Methods
7:15
Missing Value Analysis Using ChatGPT Plus
6:47
Missing Value Analysis Using ChatGPT
12:01
Understanding Skewness
5:11
Calculating Skewness in ChatGPT Numerical and Visual Method
6:49
Calculating Pearson Bowley and Kelly's Coefficients of Skewness Using Chat GPT +
9:03
Calculating Coefficients of Skewness in ChatGPT
8:34
Understanding Normality, Normal Distribution and Standard Normal Distribution
8:32
Historical Origin of Normal Distribution Gauss vs Laplace's Contribution
5:10
Properties of Normal Distribution
4:46
Understanding Kolmogorov-Smirnov Test and Shapiro-Wilk Test
2:02
Perfomaity Normality Analysis in ChatGPT Plus and Reporting Result in APA
10:32
Normality Test Using ChatGPT and Jupyter Lab
8:06
Introduction to Data Analysis Steps
1:28
Role of Setting in Data Analysis Process
7:11
Steps Involved in Research Data Analysis from Raw
14:42
Understanding Differences Between Models vs. Theories
8:21
Descriptive Statistics Using ChatGPT
1:39
Understanding Descriptive Statistics
4:45
Types of Measures of Central Tendency
1:42
Understanding Arithmetic Mean
4:42
Calculation of Arithmetic Mean using ChatGPT Plus
3:31
Introduction to Analysis of Group Differences
4:45
Types of Group Difference tests
10:23
Assumptions of Parametric Tests
8:41
Understanding Statistical Formula of t-test
3:02
Understanding Data and Formulating Hypothesis
6:00
Calculation of t-test in ChatGPT Plus
12:53
Calculation of t-test using Chat GPT and Python
7:24
Paired Sample t-test Introduction and Formula
3:15
Understanding Data and Hypothesis Development for
1:26
Paired Sample t-Test in GPT Plus
6:10
Paired Sample t-test using ChatGPT and Python
8:04
Introduction to One-Way Anova
2:31
Theory and Calculation of One Way Anova
11:36
Understading Data and Developing Hypothesis
1:30
Conducting ANOVA Using ChatGPT Plus
11:40
Conducting ANOVA using ChatGPT and Python
12:01
A Self-Introduction to Correlations
5:31
Calculation of Correlation Coefficient Using ChatGPT
6:21
Calculating Pearson Correlation using ChatGPT and Python
8:07
Introduction of Regression Analysis Using ChatGPT
7:51
Types of Regression Linear Multiple Logistic
8:18
Types of Regression Polynomial Ridge and Lasso Reg
7:30
Types of Regression Elastic Net Quantile and Poisson
3:47
Assumptions of Linear Regression
14:11
Understanding Data and Formulating Hypothesis of Multiple Regression
2:52
Regression Analysis Using ChatGPT Plus
14:11
Regression Analysis Using GPT 3.5 and Python
14:09
₹850.00 Enroll Now
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An experienced and passionate instructor, [Name] is dedicated to fostering a dynamic and engaging learning environment where students feel motivated to grow both academically and personally. With a strong foundation in their subject area, they bring clarity, structure, and enthusiasm to every lesson, ensuring complex concepts are made accessible and relevant. Their teaching approach blends theoretical knowledge with practical application, encouraging students to think critically and develop problem-solving skills. Known for their supportive and approachable demeanor, [Name] builds meaningful connections with students, understanding that each learner has unique strengths and challenges. They are committed to creating an inclusive classroom atmosphere where curiosity is encouraged, questions are welcomed, and every student feels valued. By adapting teaching methods to suit diverse learning styles, they help students gain confidence and achieve their full potential. Beyond the classroom, [Name] is deeply invested in continuous learning and professional development, staying updated with the latest educational practices and advancements in their field. They often contribute to curriculum development, mentorship programs, and extracurricular activities, reinforcing their role as not just an instructor, but a mentor and guide. Their ultimate goal is to inspire lifelong learning and empower students to succeed in an ever-evolving world.

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