Book Information

Book ID Asin: 0749481544
Book Title: Confident Data Skills: Master the Fundamentals of Working with Data and Supercharge Your Career (Confident Series)
Book Author: Kirill Eremenko
Book Format: unknown Book Price: unknown
Book Category: Books, Business & Money, Job Hunting & Careers and unknown
Book Rating: 175 ratings

Book Product Detail

• Best Sellers Rank: #962,586 in Books (See Top 100 in Books)
  • #589 in Data Modeling & Design (Books)
  • #742 in Database Storage & Design
  • #854 in Information Management (Books)

• Customer Reviews:
  4.5 out of 5 stars 175 ratings

Book Review

Name: JIR
Rating: 5.0 out of 5 stars
Title: Best Introduction to Data Scienc for those looking into entering the field or using it within their industries
Date: Reviewed in the United States on January 15, 2018
Review: This book explains Data Science with the lens of a career strategy. The author, Kirill Eremenko, has created many of the most popular and highly rated data science online courses and has a very popular podcast focused on careers in data science. I found in the book a lot of wisdom distilled from the author's own consulting career as well as from hundreds of hours of podcasts interviewing many successful data scientists. The format of this book lends itself for an audiobook even though it provides many details about complex concepts, data analysis methods, and tools. The book presents a very refreshing and optimistic future for those looking into entering the field or using it within their industries.

Part 1: It first introduces data, exposes its commonness, how it is being used by companies in the background, its exponentially growing nature, exposes how data scientists use and present data, and then provides advice on how somebody from outside the industry can approach entering the field.

Part 2: The book introduces “the data science process”, including wisdom on framing the question within context and scope, then strategies and tools for recognizing, preparing, cleaning data, and finally analyzing it to produce relevant answers. It provides an excellent overview of the methods for analyzing data including statistical, machine learning, and artificial intelligence. It also presents examples and guidance providing intuition about how these methods provide answers and apply to different data science problems.

Part 3. Provides closure to the “data science process”, by describing visualization concepts while providing beautiful examples and insight into effective strategies for presenting results. The last chapter then imparts tactical and strategic intelligence in entering the data science field regardless of the industry. As with the podcasts, this book somehow manages to include personal growth wisdom very relevant to data science.

Name: Krizsó Gergely
Rating: 5.0 out of 5 stars
Title: If you choose this path I Highly recommended this book
Date: Reviewed in the United States on January 26, 2018
Review: The singularity is near and Kirill know whos’s your data!

This book is probably part of the Seldon plan. This pages are the fastest route for a valuable career and a bit more. We are in the middle of something because the artificial intelligence is the last development of mankind. The AI code will be written by a data scientist. Probably this will be the last job on Earth :)

If you choose this path I Highly recommended this book!

Happy reading!

Name: Siva
Rating: 2.0 out of 5 stars
Title: May be for people who know nothing about use of data (I wouldn't call this data science book).
Date: Reviewed in the United States on November 15, 2019
Review: Read almost 90 pages and I learnt nothing new. Most of you know that every bit of your action is a data and that is the most I learnt reading till 90 pages which I already knew. Not sure if there are anything useful after 90 pages but I cannot waste my time looking for the good stuff.

Name: rokpyle
Rating: 5.0 out of 5 stars
Title: Best introduction to basic data skills so far
Date: Reviewed in the United States on June 1, 2019
Review: I'm a retired geologist, not a data analyst. A lot of my work involved looking for patterns and outliers. The data analysis books I read before this one had broad generalities, nothing specific. This had specific methods to try with decent descriptions.

Name: Ari Meier
Rating: 5.0 out of 5 stars
Title: Great Book for those interested in Data Science
Date: Reviewed in the United States on November 18, 2018
Review: This book is a simple introduction to what to do to get your career started in data science. The author did a great job of covering the relevant skills needed to be successful in a data science-related career.

Name: JPMarius
Rating: 5.0 out of 5 stars
Title: Great first steps to data science
Date: Reviewed in the United States on October 3, 2020
Review: This book presents a holistic view of data science and what it entails. Going through this book opened my eyes as to the endless applications of this emerging discipline and taught me the basics, including where and how to look for development and networking opportunities. This was exactly the starter I was looking for. Thank you Kirill.

Name: If81
Rating: 4.0 out of 5 stars
Title: Good for intuition about algorithms
Date: Reviewed in the United States on August 29, 2019
Review: If you have taken Kiril's courses, this book will feel familiar. I use it as a refresher on certain topics.

Name: Komson Chanprapan
Rating: 4.0 out of 5 stars
Title: A book for rookies in data field
Date: Reviewed in the United States on June 16, 2018
Review: Easy to read. Probably suitable for beginner in the data field.

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