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…
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