Data Science for Dummies, 3rd Edition, by Lillian Pierson, takes readers on a comprehensive tour of the data science field, including topics such as big data, statistics, algorithms, business cases, and the various sorts of data workers. This book explains everything you need to know about data.
This book is perfect for readers who want comprehensive information presented in a concise and straightforward manner.
It’s a well-organized and helpful guide for anyone interested in a data science career. In the book, Lillian does a great job explaining how to make money with your data and data science skills in the chapter called “Monetizing Data and Data Science Skills.”
This Dummies Edition ebook, which normally costs $21, is currently offered for free.
You can download this ebook for free at https://techno360.tradepub.com/.
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The file size for this ebook is 17 MB, and it has 435 pages. This offer is valid through November 24, 2022.
About Data Science for Dummies (3rd Edition):
Lillian Pierson, a renowned data science consultant, reveals her secret sauce: the STAR Framework, a straightforward, tried-and-true method for steering financially rewarding data science initiatives.
Confused about the nature of data science? Not to fret! You can learn everything you need to know with Data Science For Dummies, Parts 1 and 2.
In addition, if you are already an accomplished data scientist? If so, you won’t want to miss Part 3 and the rest of the book for the gold it contains on data science strategy and data monetization.
This e-book demonstrates:
- The one and only method for successfully directing data science initiatives.
- Unspoken, reverse-engineered strategies for the monetization of data.
- The surprising truth about how simple natural language processing can be.
- How to differentiate yourself from other data professionals by developing your own special set of data science skills.
No matter where you are in your data science career, this ebook will teach you something new and useful. Read it now to learn how to leverage your company’s data for massive profits.