Data Science is more than just about knowing how to program or how write the best algorithms. The Best Books to read to become Data Scientists In 2022 will only help you to understand more about Data Science and learn about it in a way that you use data ethically and effectively to proceed in the best way possible. In this article, we’ll go over 10 such books and why you should read them to enhance your knowledge of Data Science.
Note: The books mentioned in this article are not exhaustive and are only mentioned as recommendations to be read by any data science enthusiasts! With the best books to read to become data scientists, you will have a definite edge over your competitors.
Also, read -> A simple guide to Deep Learning and neural network without maths
Why do you need to read books to become a Data Scientist?
Books are all you need to read for all the knowledge in the world. Considering, how the world has gone open source and democratic in terms of knowledge, a lot of subjects that are generally taught to students are being learned by students today on their own time and in the comfort of their homes using just the internet where Google becomes the greatest teacher.
The books that are in this article, serve the same purpose to help people become data scientists in 2022 without having to go to a college to attain all the knowledge; and because data science is a field where actions speak louder than words, the books teach relevant skills to all the learners and help them learn better.
Let’s dive right into the list of books that are the Best Books To Read To Become Data Scientists in 2022
If you are new to data science, Read more about it here -> Data Science
List of the best books to read to become data scientists in 2022.
10 of the Best Books To Read To Become Data Scientists in 2022 are listed below with a brief description of each:
- ISLR
- Hands-on Machine Learning
- The art of statistics: How to Learn from Data
- The Data Science Handbook: Advice and Insights from 25 Amazing Data Scientists
- Big Data: A Revolution That Will Transform How We Live, Work, and Think
- Learning SQL by Alan Beaulieu
- R for Data Science
- Data Science From Scratch by Joel Grus
- Storytelling With Data: A Data Visualization Guide for Business Professionals
- Mining of Massive Datasets
Special Mention: The Hundred-Page Machine Learning Book
ISLR
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The ISLR or an Introduction to Statistical Learning is one of the best books to read to become data scientists and also a part of our machine learning books for beginners because it extensively covers all that you need to know about Statistical Analysis in your work and can always teach students more about the maths behind machine learning algorithms and this book comes with lab sessions to show the algorithms working and also what they represent. The book also compares different algorithms with other algorithms.
Find more information about the book here: ISLR
Hands-on Machine Learning
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Hands-on Machine Learning is one of the most cited machine learning books for beginners by renowned programmers around the world just because the book is so comprehensive and exhaustive. It focuses mostly on the Scikit Learn library but as someone starting in ML, if you use Python the book is going to be as good as the holy grail to you. The official website tells you about the book accurately, it covers the following:
Explore the machine learning landscape, particularly neural nets
Use Scikit-Learn to track an example machine-learning project end-to-end
Explore several training models, including support vector machines, decision trees, random forests, and ensemble methods
Use the TensorFlow library to build and train neural nets
Dive into neural net architectures, including convolutional nets, recurrent nets, and deep reinforcement learning
Learn techniques for training and scaling deep neural nets
Find more information about the book here: Hands-on Machine Learning
The art of statistics: How to Learn from Data
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The Art of Statistics is by the world-renowned statistician David Spiegelhalter, who shows readers how to derive knowledge from raw data by focusing on the concepts and connections behind math. Drawing on real-world examples to introduce complex issues, the book covers how statistics can help us determine the luckiest passenger on the Titanic who survives, etc.
The book is not only one of the Best Books To Read To Become Data Scientist but essentially is one of the best for any statistics enthusiast too as it shows us how mathematicians have used statistical science to solve problems and how we too can think like statisticians. It also helps readers understand how to responsibly interpret the answers received.
Find more information about the book here: The art of statistics: How to Learn from Data
The Data Science Handbook: Advice and Insights from 25 Amazing Data Scientists
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One of my personal favorites, the Data Science Handbook is a collection of interviews from individuals in the world of Data Science who have ensured that no stone is unturned in the marathon run of the growth of data science and teach us how for each level of a learner, Data Science can be a way to solve the world’s problems using data.
With exceptional personalities like Clare Corthell and others being interviewed, one only can find what these famous data scientists did on their journey of data science and only be motivated to do the same. This is undoubtedly one of the Best Books To Read To Become Data Scientists today.
Find more information about the book here: The Data Science Handbook: Advice and Insights from 25 Amazing Data Scientists
Big Data: A Revolution That Will Transform How We Live, Work, and Think
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With the advent of big data, this book makes it to the list of the Best Books To Read To Become Data Scientists today. The key to answering questions today of any kind that involves a larger audience is big data. “Big data” refers to our burgeoning ability to crunch vast collections of information, analyze it instantly, and draw sometimes profoundly surprising conclusions from it. A revolution on par with the Internet or perhaps even the printing press, big data will change the way we think about business, health, politics, education, and innovation in the years to come.
Big Data is the future of data and companies have derived as much as they can from Big Data to learn about it from this book in a conceptual way is important.
Find more information about the book here: Big Data: A Revolution That Will Transform How We Live, Work, and Think
Learning SQL by Alan Beaulieu
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This book does exactly what the title suggests and it is one of the best books to read to become a data scientist because the book covers SQL which is one of the world’s most used database querying languages. With Learning SQL, you’ll quickly discover how to put the power and flexibility of this language to work.
- Move quickly through SQL basics and several advanced features
- Use SQL data statements to generate, manipulate, and retrieve data
- Create database objects, such as tables, indexes, and constraints with SQL schema statements
- Learn how datasets interact with queries; understand the importance of subqueries
- Convert and manipulate data with SQL’s built-in functions and use conditional logic in data statements
Find more information about the book here: Learning SQL by Alan Beaulieu
R for Data Science
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If you are a data scientist, you cannot essentially skip one of the two programming languages, i.e., Python and R. From this book learn how to use R to turn raw data into insight, knowledge, and understanding. This book introduces you to R, RStudio, and the tidyverse, a collection of R packages designed to work together to make data science fast, fluent, and fun. Suitable for readers with no previous programming experience, R for Data Science is designed to get you to do data science as quickly as possible. Therefore, one of the best books to read to become data scientists in 2022.
Find more information about the book here: R for Data Science
Data Science From Scratch by Joel Grus
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This book focuses on introducing Data Science by using Data science libraries, frameworks, modules, and toolkits that are great for doing data science, but they’re also a good way to dive into the discipline without actually understanding data science. With an updated second edition, you’ll learn how many of the most fundamental data science tools and algorithms work by implementing them from scratch, which is one of the best ways to start with Data Science and this can be your first book.
The first book to read to start in Data Science can be one of the best books to read to become data scientists in 2022! Find more information about the book here: Data Science From Scratch
Storytelling With Data: A Data Visualization Guide for Business Professionals
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As mentioned on the official publisher’s page, this book demonstrates how to go beyond conventional tools to reach the root of your data, and how to use your data to create an engaging, informative, compelling story in a world where Data Science talks to the rest of the world using visualizations, this is a must-read for anyone who wants to read the best books to become data scientists in 2022. Specifically, you’ll learn how to:
- Understand the importance of context and audience
- Determine the appropriate type of graph for your situation
- Recognize and eliminate the clutter clouding your information
- Direct your audience’s attention to the most important parts of your data
- Think like a designer and utilize concepts of design in data visualization
- Leverage the power of storytelling to help your message resonate with your audience
Find more information about the book here: Storytelling With Data: A Data Visualization Guide for Business Professionals
Mining of Massive Datasets
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The book is a very highly cited book and is one of the best books to read to become a data scientist as the book focuses on Data Mining as something that is about applying algorithms to data, rather than using data to “train” a machine-learning engine of some sort. The book touches upon the following things and much more.
- Distributed file systems and map-reduce as a tool for creating parallel algorithms that succeed on very large amounts of data.
- Similarity search, including the key techniques of min hashing and locality sensitive hashing.
- Data-stream processing and specialized algorithms for dealing with data that arrives so fast it must be processed immediately or lost.
- The technology of search engines, including Google’s PageRank, link-spam detection, and the hubs-and-authorities approach.
- Frequent-itemset mining, including association rules, market-baskets, the A-Priori Algorithm, and its improvements.
- Algorithms for clustering very large, high-dimensional datasets
Find more information about the book here: Mining of Massive Datasets
Special Mention: Check out The Hundred-Page Machine Learning Book For more on how Machine Learning works in just 100 pages! Find more information about the book here: The Hundred-Page Machine Learning Book
Conclusion
The 10 books mentioned in this article are one of the best collections of books to read for Data Science enthusiasts and are some of the Best Books To Read To Become Data Scientists due to the ground they cover. Although these are important to read, more books on Data warehousing and Data visualization are needed to get you going with the other tools of Data Science.
So if you relate to being someone who enjoys data science and wants to learn all the tools, go ahead and try searching for some more equally awesome books on the internet and learn as much as you can while practically applying whatever you have learned in the data you use in your day-to-day life.
Tell us in the comments below if you think another book deserves a special mention in this article and we’ll add it to the list.
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