In this blog post we're going to introduce you to 21 of the most inspiring books to help you get started in Data Science.
21 Inspiring Books to Get Started in Data Science @eelrekab @chi2innovations #datascience
Getting Started With Data Science
Want to be an expert statistician? Great - enjoy the next 10 years of hard work!
What about machine learning? Do you want to be an expert in that? Or what about programming or data visualisation? That'll be 10 years (or more) for each.
Whether you're trying to get started in Data Science or you're already on the path to becoming an expert you're going to need a strong grounding in all of these disciplines. It's safe to say that it's going to take you at least 20 years or more before you can consider yourself to be experienced, proficient and an authority in data science.
It can be daunting, especially if you're just getting started with Data Science.
You're going to have a lot of questions, including:
My Book Recommendations to Help You Get Started in Data Science
Over the past few years I've been asked all of these questions, and I've always tried to steer the questioner in the right direction.
This has led me to discover a few Data Science books that can help, so I've decided to pull them together into one place for you to check out.
There are 7 categories of Data Science books that I recommend when you're just getting started with Data Science:
- 1General Data Science Books
- 2Statistics Books
- 3Python Books
- 4R Programming Books
- 5Machine Learning Books
- 6Data Visualisation Books
- 7Data Ethics Books
I've selected my top 3 Data Science books in each of these categories, and while you would benefit from reading all of them, I suggest starting with one from each category.
Ready to get started? Then let's head to the first Data Science books, where I introduce 3 easy-reading entertaining books that give you a great idea of what it's like to be a data scientist:
All 8 posts in the series: