Thread by @mdancho84

Learning data science on your own is tough...

...(ahem, it took me 6 years)

So here's some help.

5 Free Books to Cut Your Time In HALF.

Let's go! 🧵

#datascience #rstats #R

1. Mastering #Spark with #R

This book solves an important problem- what happens when your data gets too big?

For example, analyzing 100,000,000 time series.

You can do it in R with the tools covered in this book.

Website: therinspark.com

2. Geocomputation with #R

Interested in #Geospatial Analysis?

This book is my go-to resource for all things geospatial.

This book covers:
-Making Maps
-Working with Spatial Data
-Applications (Transportation, Geomarketing)

Website: r.geocompx.org

3. Tidy Finance with #R

What tools exist in R for #Finance?
And how do I use them?

Answers to these questions are covered in this book!

P.S.- This book uses my R package, #tidyquant

Website: tidy-finance.org

4. Text Mining with R

This is a fantastic introduction to text analysis and text mining with the #tidytext R package.

This book singlehandedly made me MORE CONFIDENT with text analysis.

Website: tidytextmining.com

5. #Forecasting Principles and Practice

This is the best “theory” book on #timeseries analysis and forecasting.

Topics Covered:
- ARIMA,
- Exponential Smoothing,
- TimeSeries Decomposition
- A lot more!

Website: otexts.com/fpp3/

1-Dollar Bonus Book:

This is a massive value- Gives you a complete plan for EVERYTHING you need to know about learning data science.

It's only a buck.

And it will cut 2-3 years off your journey.

Website: learn.business-science.io/if-i-had-to-le…

Want even more help becoming a 6-figure data scientist?

I have a free workshop that will help you become a $100K+ earner as a #DataScientist even in a Recession.

👉Register Here: us02web.zoom.us/webinar/regist…