The best Mathematical & Statistical eBooks: Reddit reviews

From 3.5 billion Reddit comments

This has a strong biology focus and is written for the beginner https://www.amazon.com/Introductory-Beginners-Visualisation-Statistical-Programming-ebook/dp/B00BU34QTM/ref=mp_s_a_1_1?dchild=1&keywords=introductory+r+knell&qid=1604345682&sr=8-1

Hust take a look at what the job postings are asking for. Nearly all I've seen want experience in R, SAS. You can run python in R by installing an interpreter and run SQL queries with the function sqldf(). There are a ton of free resources to learn R and several youtube channels dedicated to it. This book will get you started without having to take a formal class: https://www.amazon.com/gp/product/B01NAJAEN5/ref=ppx_yo_dt_b_d_asin_title_o00?ie=UTF8&psc=1

I'm nearing the end of the Google certificate, and if you've already done some SQL and Tableau I don't think it's going to add a lot for you. The courses include a lot of talk about soft skills, congratulating you for making progress, and advice about job search things like working up your LinkedIn profile. It's kind of fluff, but could really be helpful if you feel like you need coaching in that area. I think you're probably going to get more mileage out of small specialized courses.

Also, I see from the comments that your degrees are in biology and physical therapy. As someone with a degree in religious studies, I'm sorry, those are not "unrelated" degrees.

I did a class last winter that used Python, and just completed the Google Certificate course on R. It mostly uses R as a fancy graphing application, and doesn't get into programming/computer science at all. Having experienced a bit of both, I somewhat prefer R for data analysis. In addition to the Google course I'm reading this book, which I enjoyed despite some of it going completely over my head, but with your background it should be perfect: https://www.amazon.com/gp/product/B00BU34QTM/ref=kinw_myk_ro_title

We recommend Python Machine Learning by Sebastian Raschka on the wiki.

> this question has been asked a thousand times

Yes, it has.

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Yes! The one I've used with success is Raschka's Python Machine Learning. Very hands-on, many examples, great for getting familiar with the basics of data science work, in my experience.

Hi my name is William B. Skates and i'm the author of Excel VBA: Programming for Complete Beginners the book is focused on beginners who want to dive into the world of VBA and help them understand the various loops, string functions and arrays used in Excel VBA. The book is written in an easy to understand way by using illustrations to learn by doing.The book just entered its free promotion from 11/10 to 15/10. I would love to hear your thoughts down in the comments below. https://www.amazon.com/dp/B07JV9ZJGM

In Excel VBA: Programming for Complete Beginners I touch on:

• The fundamentals of VBA.
• How to work with variables.
• How to create VBA macros.
• The numerous functionalities of the string.
• How to use loops.
• How to make arrays
• What are functions and how to use them

Hi my name is William B. Skates and i'm the author of Excel VBA: Programming for Complete Beginners the book is focused on beginners who want to dive into the world of VBA and help them understand the various loops, string functions and arrays used in Excel VBA. The book is written in an easy to understand way by using illustrations to learn by doing.The book just entered its free promotion from 11/10 to 15/10. I would love to hear your thoughts down in the comments below. https://www.amazon.com/dp/B07JV9ZJGM

In Excel VBA: Programming for Complete Beginners I touch on:

• The fundamentals of VBA.
• How to work with variables.
• How to create VBA macros.
• The numerous functionalities of the string.
• How to use loops.
• How to make arrays
• What are functions and how to use them

I... think we're talking about different books? Pandas cookbook's a solid pick I thought, this is the book I'm thinking of. I'm still learning obviously, and I'd appreciate hearing if you thought it's a poor choice to use as a style guide, but it's certainly not based on python 2. It came out in October, it's all in 3.6, with pandas 0.2. It's not perfect of course, but it seemed like a decent primer, though no book can compare of course to wading through some appropriately complex first few projects with the pandas documentation pulled up for help.

Hadley Wickham actually does lots of data analysis, got his Ph.D in statistics, taught statistics, popularized "tidy data" and "split apply combine", actively contributes to his packages, and stays in touch with the community. It's not a coincidence that his new book is one of the highest rated data science books of all time with 85% 5 star reviews.

That's fine. Books include both ebooks and physical books. While some would argue the pros and cons of each, it's not really important for learning. I'm not sure about any free ones, but here's a very affordable ebook that is well recommended.