
How To Become A Data Scientist With ChatGPT
Description
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Are you aspiring to become a data scientist but feeling overwhelmed by the challenges of coding in programming languages? Are you new to data science and don't know how to code in any programming language? Look no further; this book is your comprehensive solution. Master the fundamentals of code generation with ChatGPT, learn to craft effective prompts, and navigate the DOs and DON'Ts of this invaluable tool. This book tackles the problem many aspiring data scientists face: the lack of programming skills. It's a step-by-step guide that utilizes the transformative potential of ChatGPT to empower you to code efficiently, streamline complex data analytics, and become a successful data scientist. The book contains:
- The role of ChatGPT in Data Science
- ChatGPT for Data Analytics
- ChatGPT-assisted programming
- Step-by-step approach to code generation in ChatGPT for data science
- Case Studies to Demonstrate Data Analysis with ChatGPT
Whether you are an experienced data scientist or just starting, this book will be your trusted ally in the journey. It explores real-world applications, deepens your understanding of predictive analytics, and supercharges your data science projects. Don't let programming hurdles hold you back. Let ChatGPT assist you on your path to becoming a data scientist. Are you ready to become a data scientist without a programming background? This book is your definitive guide to a future where ChatGPT empowers your journey to become a data scientist.
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Content
Why I Wrote This Book?. 5
Unique Features and Structure of This Book.. 7
Target Audience of This Book.. 9
About The Author. 11
Table of Contents. 12
Chapter 1. Introduction.. 14
Chapter 2. ChatGPT Demystified.. 17
Understanding ChatGPT: A Deep Dive. 17
How ChatGPT was Trained.. 18
The Evolution of ChatGPT.. 19
Embracing ChatGPT with Human Wisdom... 22
Chapter 3. The Role of ChatGPT in Data Science. 23
Data Science and its Emerging Role in the Modern World 23
The Importance of Data-Driven Decision-Making. 29
Chapter 4. The Programming Struggles of New Data Scientists 30
The Need for AI and ChatGPT in Data Analytics. 33
Chapter 5. Domains of Data Science Empowered by ChatGPT 35
Chapter 6. ChatGPT-Assisted Programming. 40
Fundamentals of Code Generation with ChatGPT.. 46
Chapter 7. Getting Started With ChatGPT-Assisted Programming 50
Mastering Data Science Problem Analysis. 53
Writing The Right Prompt For ChatGPT.. 55
DOs and DON'Ts of ChatGPT Prompts. 61
Avoiding Misinformation and Error (Confabulation) in ChatGPT Responses 65
Limitations of Using ChatGPT as an Assistive Tool in Data Science 67
Cross Validation Of Code Generated By ChatGPT.. 70
Chapter 8. Step-By-Step Approach To Code Generation In ChatGPT For Data Science 78
Chapter 9. Case Studies to Demonstrate Data Analysis with ChatGPT 97
Case study 1: Exploratory Data Analysis on Breast Cancer Wisconsin (Diagnostic) Data Set 99
Case Study 2: Predict Flower Species Based on IRIS Dataset 111
Chapter 10. Future Trends and Challenges in ChatGPT-Assisted Programming 135
Chapter 11. Ethical Considerations and Challenges. 141
One Last Thing. 143
References 144
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- Tablet/Smartphone (Android; iOS): Before downloading, install the free app Adobe Digital Editions (see eBook Help).
- E-reader: Bookeen, Kobo, Pocketbook, Sony, Tolino and many more (not Kindle).
The file format ePUB works well for novels and non-fiction books – i.e., „flowing” text without complex layout. On an e-reader or smartphone, line and page breaks automatically adjust to fit the small displays.
This eBook uses Watermark-DRM, a „soft” copy protection. This means that there are no technical restrictions to prevent illegal distribution. However, there is a personalised watermark embedded in the eBook that can be used to identify the purchaser of the eBook in the event of misuse and to provide evidence for legal purposes.
For more information, see our eBook Help page.