ChatGPT for Data Science and Data Analysis in Python

Learn to Leverage AI to Fast-Track Your Data Science Project Execution, Data Analysis, Data Visualization and Reporting.

What you'll learn

• Learn to design efficient prompts in ChatGPT to achieve desired results with fewer steps.
• Gain skills to employ ChatGPT and other GenAI tools to initiate data science projects, reducing start-up time by up to 90%.
• Develop proficiency in using ChatGPT and GenAI technologies to carry out data science projects, potentially halving project execution time.
• Create stunning data visualizations (in Python, Tableau and PowerBI) and reports in no time
• You will be able to comprehend and explain the basic principles of promo engineering and its relevance in the field of data science.
• Learn to leverage Google Colab for efficient Python programming and data analysis.
• Develop skills in using ChatGPT to prepare and clean data for analysis, simplifying the preprocessing stage.
• You will be able to transform categorical data into numerical form using ChatGPT effectively.
• Learn to conduct descriptive data analysis using ChatGPT, and interpret the results for informed decision-making.
• Develop expertise in implementing feature engineering techniques with ChatGPT
• Learn to perform exploratory data analysis using ChatGPT, uncovering hidden patterns and insights from the data.
• Gain proficiency in analyzing qualitative data with ChatGPT, extracting valuable interpretations from non-numerical data.
• You will be able to use ChatGPT to produce clear and comprehensive reports based on the findings from data analysis.

Requirements

• Basic Python knowledge.
• ChatGPT account.
• Connection to the internet.

Description

Are you interested in leveraging the power of AI to streamline your Data Science projects?

Do you want to learn how to use ChatGPT and GenAI technologies to design efficient data science workflows and create stunning data visualizations?

Are you a data scientist, project manager, or entrepreneur keen on leveraging AI tools to kick-start and execute data science projects efficiently?

If the answer is yes to any of these questions, this course is tailor-made for you!

ChatGPT, developed by OpenAI, is an advanced language model that can be applied to various data science tasks, including data preparation, feature engineering, data analysis, and report generation. This course, "ChatGPT for Data Science and Data Analysis in Python", will help you significantly use ChatGPT to speed up your data science projects.

Data Science continues to be one of the most in-demand fields, offering numerous career opportunities across sectors. With the advent of AI technologies like ChatGPT, it's now possible to execute data science projects more efficiently, reducing time and effort significantly. And we will teach you how.

Here's what sets this course apart:

• A focus on practical application: From prompt engineering to text classification, you will learn to apply ChatGPT in real-world data science contexts.
• Step-by-step guide: Each module is designed to build on the previous one, ensuring a comprehensive understanding of how to use ChatGPT for various stages of a data science project.
• Collaborative learning: Learn how to use ChatGPT to improve team communication, a critical skill in any data science project.

What will you learn?

How to design efficient prompts in ChatGPT for optimal results.

Techniques to initiate data science projects using ChatGPT, potentially reducing start-up time by up to 90%.

Methods to utilize ChatGPT and GenAI technologies to carry out data science projects, potentially halving project execution time.

Creating stunning data visualizations and reports in Python, Tableau, and PowerBI in no time.

This unique course includes ample practice opportunities, quizzes, and final capstone projects. You'll have hands-on experience with over ten projects, providing you with practical exposure to the application of ChatGPT in data science.

Who this course is for:

• Aspiring data analysts and data scientists.
• Entrepreneurs, digital marketers, social media managers, and product managers who use data to drive decisions.