ChatGPT For Data Analysis: Data Science Using Python & AI

Course Description

Discover the power of data analysis and artificial intelligence with this unique course  AI Driven Data Analysis Using Chat GPT. This course is designed to equip you with the knowledge and skills to leverage ChatGPT, one of the most advanced AI models developed by OpenAI, for in-depth data analysis. Whether you are a beginner curious about AI and data science or a seasoned professional looking to enhance your skills, this course provides a structured path from fundamental concepts to advanced applications.

Learning Outcomes

By the end of this course, you will be able to:

1. Understand the essentials of ChatGPT and its significance in data analysis.

2. Navigate through different versions of ChatGPT and select the appropriate one for your needs.

3. Set up and use Jupyter Lab for executing ChatGPT-powered data analysis tasks.

4. Master prompt engineering to optimize interactions with ChatGPT for specific outputs.

5. Conduct comprehensive data screenings, manage missing values, and understand different imputation methods using ChatGPT.

6. Perform advanced statistical analysis, including hypothesis testing, ANOVA, and regression analysis, facilitated by ChatGPT.

7. Generate and interpret data visualizations and statistical reports in APA format using ChatGPT.

8. Develop and validate data-driven hypotheses, leveraging the AI's capabilities to enhance accuracy and insights.

Pre-requisites

This course is accessible to learners with varying levels of experience. However, the following are recommended to ensure a smooth learning journey:

• Basic understanding of data analysis and statistics.

• Familiarity with Python programming is beneficial but not mandatory.

• Access to a computer capable of running Anaconda and Jupyter Lab.

Unique Features

• Hands-On Learning: Each module includes practical exercises and projects, allowing you to apply concepts in real-time using ChatGPT.

• Comprehensive Coverage: From setting up your environment to advanced data analysis techniques, the course covers every aspect in detail.

• Expert Support: Gain insights and feedback from industry experts specializing in AI and data science.

• Flexible Learning: Access the course content at any time, and learn at your own pace with lifetime access to all resources.

Course Content Overview

• Introductory Modules: Begin with an introduction to ChatGPT, its importance, and detailed guides on setting up your account and tools like Anaconda and Jupyter Lab.

• Data Handling: Learn to import and manipulate data efficiently in Jupyter Lab using ChatGPT, covering a range of file types and data structures.

• Prompt Engineering: Dive deep into prompt engineering, learning to craft prompts that guide ChatGPT to produce optimal outputs for various data analysis tasks.

• Statistical Analysis: Engage with modules on statistical tests, understanding and applying different methods such as t-tests, ANOVA, and various forms of regression analysis using both theoretical knowledge and ChatGPT's computational power.

• Advanced Data Management: Tackle complex scenarios in data management, including missing value analysis and understanding data distribution properties.

• Final Projects: Apply everything you've learned in comprehensive projects that challenge you to use ChatGPT for real-world data analysis scenarios.

This course not only enhances your analytical skills but also prepares you to be at the forefront of AI-assisted data science, making you a valuable asset in any data-driven industry. Join us to transform data into insights and AI understanding into practical expertise.