Book about data analytics: In the fast-growing influence of advanced technologies and tools, data plays a major role. Various types of data are available in various formats through various sources, which can be extracted to make businesses grow. With the help of advanced data analytics tools, it has become possible to extract, process and visualise data in a friendly manner.Â
Learning data analytics during the technologically dominant era can bring career growth and a lot of opportunities. Let us check some of the best books about data analytics available online.
What is Data Analytics?
Data Analytics is the process of analyzing unstructured data to find meaningful insights such as trends, patterns, behaviour, and more that will help businesses make informed decisions for the growth of their organization.
With the help of data analytics tools and technologies, many real-time problems are solved, which will help to shape business processes and improve decision-making capabilities. Business Intelligence is an example of data analytics. The raw data helps teams and executives make better decisions.
Also Read: Applications of Big Data
Book about Data Analytics: Are books good learning material?
Books are an excellent resource for study material when getting ready for anything. It covers all the important aspects of data analytics, major tools, theories, practice questions, and these solid frameworks and concepts covered in the books can help you develop your skills effectively.Â
Also, learning with books is far more convenient than straining your eyes continuously in front of a mobile screen or laptop. You can also highlight important concepts or questions for quick revision whenever needed. Overall, books can also help you learn data analytics, along with all the available resources.
Also Read: Best BI Tool: Top 15 Business Intelligence Tools (BI Tools)
Top 15 Books About Data Analytics in 2024
There are various sources for data analytics available. However, choosing the best book for data analytics might be tricky. Read this article to learn about the top 15 book about data analytics.Â
1. Data Analytics using Python by Bharti Motwani
Learn data analytics with Python and understand different analytics applications in different domains with proper codes and explanations. The book covers the basics of Python, machine learning, data analytics tools, etc.Â
| Book About Data Analytics | |
| Name of the book | Data Analytics using Python |
| Author | Bharti Motwani |
| Ratings | 4.5 ( on Amazon) |
| Topics covered | Basics of Python, Data analytics tools, data analytic theories, practice questions, machine learning, etc, |
| Country of Origin | India |
| Language | English |
2. The Hundred Page Machine Learning Book by Andriy Burkov
Andriy Burkov is an expert in machine learning with a PhD in AI and Computer Science. It provides a load of information for data analytics, including crucial tools and technologies.Â
| Book About Data Analytics | |
| Name of the book | The Hundred Page Machine Learning Book |
| Author | Andriy Burkov |
| Ratings | 4.5 ( on Amazon) |
| Topics covered | Basics of Python, Data analytics tools, machine learning models, algorithms, data analytic theories, practice questions, machine learning, etc, |
| Country of Origin | United Kingdom |
| Language | English |
3. Python for Data Analytics by William McKinney
Learn Data Analytics with Python 3.6 for manipulating, processing, cleaning and visualizing datasets. You will also learn the latest versions of NumPy, IPython, Pandas, Jupiter, etc. Learn to use flexible tools to load, clean, transform, merge and reshape data. Also, learn to solve real-world data analysis problems with detailed practice examples.
| Book About Data Analytics | |
| Name of the book | Python for Data Analytics |
| Author | William McKinney |
| Ratings | 4.6 ( on Amazon) |
| Topics covered |
|
| Language | English |
4. Data Analytics Made Accessible by Dr. Anil MahehswariÂ
The book was published in 2014 to help you learn emerging technologies such as artificial intelligence, data integrity, analysis, etc. The books cover data analysis using real-world examples and Python and R tutorials.Â
| Book About Data Analytics | |
| Name of the book | Data Analytics made Accessible |
| Author | Anil Maheshwari |
| Ratings | 4.3 ( on Amazon) |
| Topics covered | Basics of Python, machine learning, artificial intelligence, real-world examples, etc |
| Country of Origin | United Kingdom |
5. Developing Analytic Talent: Becoming a Data Scientist by Vincent Granville
The book consists of real-world examples for clearing job interviews, resume samples, instances of job listing, salary surveys, etc. The book covers the latest tools and technologies required for data analytics.
| Book About Data Analytics | |
| Name of the book | Developing Analytic Talent: Becoming a Data Scientist |
| Author | Vincent Granville |
| Ratings | 4.3 ( on Amazon) |
| Topics covered | Basics of Python, data science, machine learning, data analytics tools, artificial intelligence, real-world examples, etc |
| Country of Origin | United Kingdom |
6. Business UnIntelligence: Insight and Innovation Beyond Analytics and Big Data
Apply Business Intelligence to integrate and copy data from your relational database. The book provides a wealth of new business and IT models to support design systems.Â
| Book About Data Analytics | |
| Name of the book | Business UnIntelligence: Insights and Innovation Beyond Analytics and Big Data |
| Author | Dr. Barry Devlin |
| Ratings | 4.3 ( on Amazon) |
| Topics covered | Basics of Python, data science, machine learning, data analytics tools, artificial intelligence, real-world examples, etc |
| Language | English |
7. A Practitioner’s Guide to Business Analytics: Using Data Analysis to Improve Your Ogranization’s Decision Making and Strategy
This book for data analytics helps you learn analytics, starting from basics to advanced tools. It covers important tools, information and strategies to help obtain important business analytics for making data-driven decisions.
| Book About Data Analytics | |
| Name of the book | A Practitioner’s Guide to Business Analytics |
| Author | Randy Bartlett |
| Ratings | 4.2 ( on Amazon) |
| Topics covered | Basics of Python, data science, machine learning, data analytics tools, artificial intelligence, real-world examples, etc |
| Language | English |
8. Storytelling with Data: A Data Visualization Guide for Business Professionals by Cole Nussbaumer Knaflic
This book helps you learn effective data visualization and how to communicate with data. You will learn the power of storytelling. The book covers real-world examples with the application of effective visualization techniques for data analysis.
| Book About Data Analytics | |
| Name of the book | Storytelling with Data: A Data Visualization Guide for Business Professionals |
| Author | Cole Nussbaumer Knaflic |
| Ratings | 4.6 ( on Amazon) |
| Topics covered | Basics of Python, data science, machine learning, data analytics tools, artificial intelligence, real-world examples, and data visualization techniques, etc |
| Language | English |
| Country of Origin | United States of America (USA) |
9. Data Science for Business: What you need to know about Data Mining and Data Analytic Thinking
Tom Fawcett and Foster Provost provide the book covering the fundamental concepts of data science with effective data analytics to extract meaningful insights and make data-driven decisions. Learn advanced tools for extracting value from data.
| Book About Data Analytics | |
| Name of the book | Data Science for Business: What you need to know about Data Mining and Data Analytic Thinking |
| Author | Foster Provost and Tom Fawcett |
| Ratings | 4.5 ( on Amazon) |
| Topics covered | Basics of Python, data science, machine learning, data analytics tools, artificial intelligence, real-world examples, and data visualisation techniques, etc |
| Language | English |
10. The Model Thinker: What you need to know to make data work for you
This book covers important mathematical, statistical, and computational models to learn how to extract important insights from data. Readers can learn to organize data to make better predictions, designs, and decision-making.
| Book About Data Analytics | |
| Name of the book | The Model Thinker: What you need to know to make data work for you |
| Author | Scott E. Page |
| Ratings | 4.5 ( on Amazon) |
| Topics covered | Learn mathematical, statistical, and computational models and extract important insights from data using advanced data analysis tools. |
| Language | English |
11. Learning R: A Step by Step Function Guide to Data Analysis by Richard Cotton
The book is suitable for beginners as well as learners from non-tech backgrounds with R programming language. The book consists of a list of tools to make easy and effective statistical models. Starting from the basics of R programming, data structures, data analysis, loading, cleaning and transforming data, etc.
| Book About Data Analytics | |
| Name of the book | Learning R: A Step-by-Step Function Guide to Data Analysis |
| Author | Richard Cotton |
| Ratings | 4.5 ( on Amazon) |
| Topics covered | Basics of R programming, data structures, data science, loading, cleaning, transforming the data, and real-world practice questions with examples. |
| Language | English |
12. Data Analytics: A Comprehensive Begineer’s Guide to Learn About Realms of Data Analytic from A-Z by Benzamin Smith
Learn data analytics with simplified explanations covering important topics and tools for data analytics from beginner to advanced level. Work on projects and exercises parallelly while learning the course.
| Book About Data Analytics | |
| Name of the book | Data Analytics: A Comprehensive Begineer’s Guide to Learn About Realms of Data Analytic from A-Z |
| Author | Benzamin Smith |
| Ratings | 4.5 ( on Amazon) |
| Topics covered | Basics of Python, data science, machine learning, data analytics tools, artificial intelligence, real-world examples, and data visualisation techniques, etc |
| Language | English |
13. An Introduction to Statistical Methods and Data Analysis by Lyman Ott
Learn powerful data analytic techniques, especially for undergraduate and postgraduate students. The book helps to solve real-time data analysis in research projects. It teaches the important aspects of statistical analytics and decision-making using powerful insights.
| Book About Data Analytics | |
| Name of the book | An Introduction to Statistical Methods and Data Analysis |
| Author | Lyman Ott |
| Ratings | 4.5 ( on Amazon) |
| Topics covered | Basics of Python, Statistical models, data science, machine learning, data analytics tools, artificial intelligence, real-world examples, and data visualisation techniques, etc |
| Language | English |
14. Data Analytic For Business: Foundations and Industry Applications
The textbook explains the use of industry level data analytics. It helps uncover the need for data analytics in business to make crucial data-driven decisions.
| Book About Data Analytics | |
| Name of the book | Data Analytic For Business: Foundations and Industry Applications |
| Author | Fenio Annansingh |
| Ratings | 4.5 ( on Amazon) |
| Topics covered | Learn data analytics with advanced tools and technologies for business growth and making data driven decision. |
| Language | English |
| Country of Origin | United Kingdom |
15. Data Analytics For Absolute Beginners by Oliver Theobald
Learn data analytics from the basics to the advanced level using easy tutorials and basic algorithms to build your data knowledge.Â
| Book About Data Analytics | |
| Name of the book | Data Analytics For Absolute Beginners by Oliver Theobald |
| Author | Oliver Theobald |
| Ratings | 4.4 ( on Amazon) |
| Topics covered | Learn data analytics with advanced tools and technologies for business growth and making data driven decisions. |
| Language | English |
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Book About Data Analytics FAQs
Which book should I read for Data Analyst?
Be very selective while choosing a data analytic book. Make sure the explanations are easy to understand, have good reviews, cover the latest technologies and tools, etc.
Is learning data analysis tough?
Data analysis consists of learning programming, database management systems, statistical analysis, and others. However, being consistent and solving real-time problems can help you gain expertise in data analysis.
Will AI replace data analysis?
Artificial intelligence will not replace data analytics but will surely make it effective with advanced tools and technologies. However, people with skills can get opportunities in Data analytics.
