ChatGPT for Data Science and Data Analysis in Python

ChatGPT for Data Science and Data Analysis in Python, available at $94.99, has an average rating of 4.37, with 40 lectures, 3 quizzes, based on 379 reviews, and has 3499 subscribers.

You will learn about 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. This course is ideal for individuals who are Aspiring data analysts and data scientists. or Entrepreneurs, digital marketers, social media managers, and product managers who use data to drive decisions. It is particularly useful for Aspiring data analysts and data scientists. or Entrepreneurs, digital marketers, social media managers, and product managers who use data to drive decisions.

Enroll now: ChatGPT for Data Science and Data Analysis in Python

Summary

Title: ChatGPT for Data Science and Data Analysis in Python

Price: $94.99

Average Rating: 4.37

Number of Lectures: 40

Number of Quizzes: 3

Number of Published Lectures: 37

Number of Published Quizzes: 3

Number of Curriculum Items: 44

Number of Published Curriculum Objects: 40

Original Price: $19.99

Quality Status: approved

Status: Live

What You Will 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.

Who Should Attend

Aspiring data analysts and data scientists.

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

Target Audiences

Aspiring data analysts and data scientists.

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

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.

With this course, you’ll get:

Access to all the codes and course materials.

Four hours of content plus coding exercises and practical assignments.

A certificate of completion that you can post on your LinkedIn profile, showcasing your skills in using ChatGPT for Data Science.

A 30-day money-back guarantee, allowing you to try the course risk-free!

Explore the preview videos and the outline to understand the exciting journey ahead. Enroll today, and let’s revolutionize how we do Data Science together!

Course Curriculum

Chapter 1: Intro to Prompt Engineering

Lecture 1: Get excited! Derive insights from the data, create report and send email to your

Lecture 2: Intro into Google Colab

Lecture 3: Key Prompt Engineering Principles for Mastering ChatGPT

Lecture 4: Download Prompt Engineering Principles Cheatsheet

Lecture 5: Hands-On: Enhancing Business Data Analysis with ChatGPTs Prompt Engineering

Lecture 6: Course survey for the next topics

Chapter 2: Survey analysis with ChatGPT

Lecture 1: Data Preparation Techniques for Improved Decision-Making

Lecture 2: Mastering Categorical Data Encoding with ChatGPT for Data Analytics

Lecture 3: Hands-On Data Processing: Applying ChatGPT for Efficient Business Data Prep.

Lecture 4: Descriptive Data Analysis for Deriving Business Insights

Lecture 5: Iterative Feature Engineering with ChatGPT and Python

Lecture 6: Feature Creation using ChatGPT: Decoding data

Lecture 7: ChatGPT as a Co-Pilot in Exploratory Data Analysis and Simplifying Insights

Lecture 8: Streamlining Qualitative Data Analysis using ChatGPT: Text Categorization

Lecture 9: Using ChatGPT for Text Classification: A Deep Dive into Sentiment Analysis

Lecture 10: Hands On: Exploring the SMILE Twitter Emotion Dataset with ChatGPT

Lecture 11: Creating Data Analysis Reports and Communicating with Stakeholder with ChatGPT

Chapter 3: OpenAI API

Lecture 1: Setting Up and Utilizing ChatGPT APIs for Data Analysis

Lecture 2: Hands On: Setting up your OpenAI API and executing your first API prompt

Lecture 3: Optimizing ChatGPT Prompts for Predictable Results: API Testing w. Google Cloud

Lecture 4: Applying Function Calling in GPT-4 API for Structured Data Extraction

Chapter 4: Case-Study – Ecommerce Churn Prediction

Lecture 1: Predicting E-commerce Churn Using ChatGPT: A Step-by-step Guide

Lecture 2: Understanding Churn and Identifying Churn Users with ChatGPT

Lecture 3: Applying the Tree of Thoughts Technique for Enhanced Feature Engineering

Lecture 4: Hands-On: Engineering Features with Tree of Thoughts approach

Lecture 5: Streamlining Repetitive Tasks and Verifying ChatGPT Results during Feature Eng.

Lecture 6: Exploratory Data Analysis: Visual Inspection and Spot Checking with ChatGPT

Lecture 7: Model Building with ChatGPT: Data Preprocessing and Handling Class Imbalance

Lecture 8: ChatGPT for Predictive Modeling: Choosing Metrics and Establishing a Baseline

Lecture 9: Model Selection with ChatGPT: Overcoming Redundancy and Enhancing Efficiency

Lecture 10: Hands-On: Leveraging ChatGPT for Metric Selection, Baseline Establishment

Lecture 11: Cross-Validation and Model Selection with ChatGPT

Lecture 12: Plotting Learning Curves and Diagnosing Model Performance with ChatGPT

Lecture 13: Final Model Training, Interpretation, and Trade-Offs in E-Commerce Churn Predic.

Lecture 14: Section Practice

Chapter 5: Extra lessons

Lecture 1: LangChain – Get Excited! – Unlocking Efficient Data Analysis with Langchain

Chapter 6: Congratulations!! Dont forget your Prize 馃檪

Lecture 1: Bonus: How To UNLOCK Top Salaries (Live Training)

Instructors

Tony Simonovsky
Taming stochastic parrots with prompt engineering magic wand

Ligency Team
Helping Data Scientists Succeed

SuperDataScience Team
Helping Data Scientists Succeed

Rating Distribution

1 stars: 4 votes

2 stars: 6 votes

3 stars: 39 votes

4 stars: 146 votes

5 stars: 184 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!