Helping You Out With Sources of Knowledge
Enjoy our curated lists of books, courses, and other resources that will help to in your journey toward learning and expanding your data analytics universe.
This page will be updated frequently
Books
Everything from study books to fiction might be relevant for you, and here we suggest some that we found interesting and recommendable.
Courses
Often, learning from a course, being guided step by step through a topic, makes it much faster and easier to get started with something new.
Online Resources
The Internet is full of information, and some of it is about data analytics or related topics. Here, you’ll find some suggested websites to vist.
Books to Inform and Inspire
This section provides links to some suggested books, interesting to people who work with data analytics or related areas.
They are provided in arbitrary order, so your favorite book might be found somewhere down the list and still be a good one. The value and usefulness of a book depends on what you are looking for.
Practical Books and Guidelines
Books we found interesting and useful for learning a topic, or looking up details.
Data Analytics, End-to-End
- Data Analytics for Marketing
A practical guide to analyzing marketing data using Python
by Guilherme Diaz-Bérrio - Principles of Data Science
A beginner’s guide to essential math and coding skills for data fluency and machine learning
by Sinan Ozdemir
Data Management and Retrieval
- Practical SQL
A Beginner’s Guide to Storytelling with Data
by Anthony DeBarros
Programming
- Elements of Data Science
Getting Started with Data Science and Python
by Allen B. Downey - Julia Data Science
by Jose Storopoli, Rik Huijzer and Lazaro Alonso - R for Data Science (2e)
Import, Tidy, Transform, Visualize, and Model Data
by Hadley Wickham, Mine Çetinkaya-Rundel & Garrett Grolemund - SQL for Data Analytics
Harness the power of SQL to extract insights from data
by Jun Shan, Matt Goldwasser, Upom Malik and Benjamin Johnston
Storytelling
- Effective Data Storytelling
How to drive change with data, narrative, and visuals
by Brent Dykes - Storytelling with Data
A data visualization guide
for business professionals
by Cole Nussbaumer Knaflic
Visualization
- ggplot
Elegant Graphics for Data Analysis (3e)
by Hadley Wickham - R Graphics Cookbook, 2nd edition
Practical Recipes for Visualizing Data
by Winston Chang
Others
- How to Become a Data Analyst
My Low-Cost, No Code Roadmap for Breaking into Tech
by Annie Nelson
Inspirational and Scientific Books
Thoughts and background information to help develop an understanding.
Mathematics
- Long(er)-Form Mathematics
by Jay Cummings - The Princeton Companion to Mathematics
edited by Timothy Gowers, June Barrow-Green, and Imre Leader
Statistics
- Introduction to Modern Statistics (2e)
by Mine Çetinkaya-Rundel and Johanna Hardin.
With tutorials and labs in R - OpenIntro Statistics
Fourth Edition
by David M. Diez, Mine Çetinkaya-Rundel and Christopher D. Barr
With labs in R, Rguroo, Jamovi, JASP, SAS, and Stata - Statistical Techniques in Business & Economics
by Douglas A. Lind, William G. Marchal and Samuel A. Wathen - The Art of Statistics
Learning from Data
by David Spiegelhalter
Technology
- Delta Lake: The Definitive Guide
Modern Data Lakehouse Architectures
by Denny Lee, Tristen Wentling, Scott Haines & Prashanth Babu - The Data Lakehouse for Dummies
2nd Databricks Special Edition
by Ari Kaplan and Amit Kara
Overviews and Lists of Books
Websites and pages that provide a selection of books.
Data Analytics
- 12 Data Analytics Books for Beginners: A 2026 Reading List
by Coursera Staff
Multiple Topics
- FreeComputerBooks.com
Links to a large number of free books on data analytics, computers, etc. - Humble Bundle Books
Varying selection, but often data science books at “pay-what-you-want” prices - Springer Nature Link
Open Access books
Others
- Coming soon
Courses to Guide You and Improve Your Skills
A good way of getting started with a new topic is often to go through a course – short or long, introductory or comprehensive, depending on your needs and wishes. Courses may also help bring you alternative perspectives on topics you already know about.
Specific Online Courses
We may or may not have been through these, so they are meant as hints for you to look at – and then decide for yourself.
Data Analytics
- Data Literacy Foundations
A learning path by Maven Analytics, with a good overview of what matters in data analytics
Science
- Master linear algebra: theory and implementation in code
On Udemy, by Mike X Cohen - Master Math by Coding in Python
On Udemy, by Mike X Cohen - Master statistics & machine learning: intuition, math, code
On Udemy, by Mike X Cohen
Others
- Coming soon
Online Course Providers
Providers of courses about data analytics or related topics, and generic course providers who host such courses on their platform.
Data Analytics
Broad Selection
- Codecademy
- Coursera
Open courses made by university teachers - edX
- Harvard University Free Courses
- Khan Academy
Math, stats, data science, and other topics at school, high-school, and college levels – good for catching up - MIT Open Learning
- Pluralsight
- The Open University, OpenLearn
- Udemy
Open courses made by anyone – all topics, all qualities, low prices - W3Schools
Interactive tutorials for many programming languages and tools
Vendor Specific
Overviews And Lists of Courses
Some meta-information about courses, with reviews or lists of links, for instance, that may guide to toward courses that could be interesting to you.
Course Lists
Others
- Accredible Course Finder
Various courses that can lead to a certificate, which is then issued by and stored on this platform
Interesting Places on the Internet
Apart from product descriptions, which we are guiding you to on the Technical Resources page, there are many vendors and others who provide additional information about data analytics or other interesting topics.
This includes use cases as well as technical background information and assessments of the value and perspectives of tools and techniques.
Independent Sites
Blogs, magazines, or individual pages on vendor sites that describe a topic of general interest related to data analytics.
How-To Articles
- Data analysis using R
Quick start on using R – key into your own R installation, correcting the dataset name in step 1 - How to Create a Dataset?
10 steps to creating a useful dataset, including advice on storage and maintenance
Technical Explanations
- Lakehouse: A New Generation of Open Platforms that Unify Data Warehousing and Advanced Analytics
A paper by Michael Armbrust, Ali Ghodsi, Reynold Xin and Matei Zaharia - The Modern Data Repository Crash Course
Database -> Data Warehouse -> Data Lake -> Data Lakehouse
by Matt Koscak
Others
- Coming soon
Vendor Sites
Websites with interesting contents, provided by vendors of, e.g., tools or courses, but interesting also for non-customers.
Vendors
- Coming soon
Others
- Coming soon
Others
- Coming soon
Government or University Sites
Information related to such as societal or scientific topics, provided by state institutions, universities, NGOs, and other organizations.
Government
- Artificial Intelligence Act
Directive from the European Union (EU) - Cloud Act
A law with a claimed jurisdiction covering the whole world (by the USA) - General Data Protection Regulation (GDPR)
Directive from the European Union (EU)
NGO
- Coming soon
University
- Coming soon
Others
- Coming soon