Starting Data Analytics with Generative AI and Python, Video Edition

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Free Download Starting Data Analytics with Generative AI and Python, Video Edition
Released 11/2024
By Artur Guja, Dr. Marlena Siwiak, and Dr. Marian Siwiak
MP4 | Video: h264, 1280x720 | Audio: AAC, 44.1 KHz, 2 Ch
Genre: eLearning | Language: English | Duration: 12h | Size: 2.22 GB

Accelerate your mastery of data analytics with the power of ChatGPT.
Whether you're a data novice or an experienced pro looking to do more work, faster, Starting Data Analytics with Generative AI and Python is here to help simplify and speed up your data analysis! Written by a pair of world-class data scientists and an experienced risk manager, the book concentrates on the practical analytics tasks you'll do every day.
Inside Starting Data Analytics with Generative AI and Python you'll learn how to
Write great prompts for ChatGPT
Perform end-to-end descriptive analytics
Set up an AI-friendly data analytics environment
Evaluate the quality of your data
Develop a strategic analysis plan
Generate code to analyze non-text data
Explore text data directly with ChatGPT
Prepare reliable reports
In Starting Data Analytics with Generative AI and Python you'll learn how to improve your coding efficiency, generate new analytical approaches, and fine-tune data pipelines-all assisted by AI tools like ChatGPT. For each step in the data process, you'll discover how ChatGPT can implement data techniques from simple plain-English prompts. Plus, you'll develop a vital intuition about the risks and errors that still come with these tools.
About the Technology
If you have basic knowledge of data analysis, this book will show you how to use ChatGPT to accelerate your essential data analytics work. This speed-up can be amazing: the authors report needing one third or even one quarter the time they needed before.
About the Book
You'll find reliable and practical advice that works on the job. Improve problem exploration, generate new analytical approaches, and fine-tune your data pipelines-all while developing an intuition about the risks and errors that still come with AI tools. In the end, you'll be able to do significantly more work, do it faster, and get better results, without breaking a sweat.
Assuming only that you know the foundations, this friendly book guides you through the entire analysis process-from gathering and preparing raw data, data cleaning, generating code-based solutions, selecting statistical tools, and finally creating effective data presentations. With clearly-explained prompts to extract, interpret, and present data, it will raise your skills to a whole different level.
What's Inside
Write great prompts for ChatGPT
Perform end-to-end descriptive analytics
Set up an AI-friendly data analytics environment
Evaluate the quality of your data
Develop a strategic analysis plan
Generate code to analyze non-text data
Explore text data directly with ChatGPT
Prepare reliable reports
About the Reader
About the Authors
Authors Artur Guja, Dr. Marlena Siwiak, and Dr. Marian Siwiak are experienced data scientists with backgrounds in business, scientific research, and finance.
The technical editor on this book was Mike Jensen.


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2.23 GB | 00:48:40 | mp4 | 1280X720 | 16:9
Genre:eLearning |Language:English​

Files Included :

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Appendix B On debugging ChatGPT's code Starting Data Analyt.mp4 (11.16 MB)
Appendix C On laziness and human errors Starting Data Analy.mp4 (5.29 MB)
Chapter 1 Getting started with generative AIs for data anal.mp4 (73.85 MB)
Chapter 1 Introduction to the use of generative AI in data.mp4 (40.14 MB)
Chapter 1 Summary Starting Data Analytics with Generative A.mp4 (2.77 MB)
Chapter 1 The role of generative AIs in data analytics Star.mp4 (72.85 MB)
Chapter 2 A note on best practices Starting Data Analytics -01.mp4 (12.9 MB)
Chapter 2 A note on best practices Starting Data Analytics.mp4 (14.11 MB)
Chapter 2 Data cleaning Starting Data Analytics with Genera.mp4 (52.6 MB)
Chapter 2 Exploratory data analysis Starting Data Analytics.mp4 (92.21 MB)
Chapter 2 Getting started Starting Data Analytics with Gene.mp4 (42.29 MB)
Chapter 2 Quality assessment structure Starting Data Analyt.mp4 (16.55 MB)
Chapter 2 Summary Starting Data Analytics with Generative A.mp4 (4.21 MB)
Chapter 2 Using generative AI to ensure sufficient data qua.mp4 (15.13 MB)
Chapter 3 Analysis design Starting Data Analytics with Gene.mp4 (24.27 MB)
Chapter 3 Descriptive analysis and statistical inference su.mp4 (34.73 MB)
Chapter 3 Descriptive data analysis Starting Data Analytics.mp4 (124.67 MB)
Chapter 3 Inferential analysis Starting Data Analytics with.mp4 (129.75 MB)
Chapter 3 Summary Starting Data Analytics with Generative A.mp4 (2.95 MB)
Chapter 4 Differences in sales performance and customer sat.mp4 (16.17 MB)
Chapter 4 Order status Starting Data Analytics with Generat.mp4 (27.62 MB)
Chapter 4 Performance of products in their categories and r.mp4 (13.57 MB)
Chapter 4 Popularity of product categories Starting Data An.mp4 (78.6 MB)
Chapter 4 Relationship between product attributes and the s.mp4 (30.6 MB)
Chapter 4 Relationship between product, transaction, shippi.mp4 (42.59 MB)
Chapter 4 Review scores distribution analysis Starting Data.mp4 (21.31 MB)
Chapter 4 Summary Starting Data Analytics with Generative A.mp4 (2.98 MB)
Chapter 4 Using generative AI for result interpretations St.mp4 (22.49 MB)
Chapter 5 Basic text mining using generative AI Starting Da.mp4 (51.57 MB)
Chapter 5 Co-occurrence analysis Starting Data Analytics wi.mp4 (31.86 MB)
Chapter 5 Dictionary-based methods Starting Data Analytics.mp4 (84.36 MB)
Chapter 5 Frequency analysis Starting Data Analytics with G.mp4 (84.97 MB)
Chapter 5 Keyword search Starting Data Analytics with Gener.mp4 (172.15 MB)
Chapter 5 Preparing for analysis Starting Data Analytics wi.mp4 (32.4 MB)
Chapter 5 Summary Starting Data Analytics with Generative A.mp4 (8.85 MB)
Chapter 6 Advanced text mining with generative AI Starting.mp4 (17.38 MB)
Chapter 6 Sentiment analysis Starting Data Analytics with G.mp4 (180.47 MB)
Chapter 6 Summary Starting Data Analytics with Generative A.mp4 (4.59 MB)
Chapter 6 Text summarization Starting Data Analytics with G.mp4 (73.29 MB)
Chapter 7 Cloud-based deployment Starting Data Analytics wi.mp4 (20.94 MB)
Chapter 7 Code conversion Starting Data Analytics with Gene.mp4 (25.83 MB)
Chapter 7 Improving code performance Starting Data Analytic.mp4 (50.74 MB)
Chapter 7 Scaling and performance optimization Starting Dat.mp4 (64.18 MB)
Chapter 7 Summary Starting Data Analytics with Generative A.mp4 (2.04 MB)
Chapter 8 AI delusion and hallucination risks Starting Data.mp4 (48.76 MB)
Chapter 8 Emergent risks Starting Data Analytics with Gener.mp4 (19.18 MB)
Chapter 8 General best practices Starting Data Analytics wi.mp4 (82.33 MB)
Chapter 8 Legal and compliance risks Starting Data Analytic.mp4 (14.59 MB)
Chapter 8 Mitigating misinterpretation and miscommunication.mp4 (65.1 MB)
Chapter 8 Model bias and fairness risks Starting Data Analy.mp4 (33.33 MB)
Chapter 8 Privacy and security risks Starting Data Analytic.mp4 (60.9 MB)
Chapter 8 Risk, mitigation, and tradeoffs Starting Data Ana.mp4 (28.08 MB)
Chapter 8 Summary Starting Data Analytics with Generative A.mp4 (1.27 MB)

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