p.y.b:
Here is a list of what I believe are the 10 Practical Steps for #DataScience:

1. Programming
a. Python - https://lnkd.in/gGQ7cuv
b. R - https://lnkd.in/giMGbph
c. SQL - https://lnkd.in/gM8nMNP
d. Command Line - https://lnkd.in/e3EQuis

2. Stats/Prob/Math
a. Coursera's Statistics w/ R - https://lnkd.in/gGT9NEf
b. edX's Probability - https://lnkd.in/gpUyC3P
c. Khan Academy Linear Algebra - https://lnkd.in/gMshbX4

3. Data Viz
a. Python Matplotlib- https://lnkd.in/gr3ifNt
b. R ggplot2 - https://lnkd.in/eThJXNr

4. Data Manipulation
a. Python Pandas - https://lnkd.in/g9kfpX4
b. R dplyr - https://lnkd.in/gAWusih

5. #MachineLearning
a. Google Crash Course - https://lnkd.in/gSgkVcT
b. Stanford Coursera - https://lnkd.in/g8ZG557
c. ISLR Book - https://lnkd.in/gk8GPZC

6. Experimental Design
a. Udacity A/B Testing - https://lnkd.in/gCerh4f

7. Business Sense
a. Metrics - https://lnkd.in/gZAG7bS

8. Communication
a. Storytelling - https://lnkd.in/gwjxVUu

9. Profile Building
a. GitHub - https://lnkd.in/g4r9naJ
b. LinkedIn - https://lnkd.in/g-KHHEC
c. Kaggle - https://lnkd.in/gBC77Hu
d. DS Resume - https://lnkd.in/gU8WVAF

🏅 10. Job Search
a. Daily Expert Tips & Advice - https://lnkd.in/g8z-xXD
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Hope this helps! 👍
Updated on my site - https://www.claoudml.co/

#Datascience #MachineLearning #Artificialintelligence #Statistics

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The first channel on Telegram that offers exciting questions, answers, and tests in data science, artificial intelligence, machine learning, and programming languages.

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