How to Learn DATA SCIENCE Ridiculously FAST 

Want to learn data science?
But not too sure where to start?
I hear you
When I first started on my journey to becoming a data scientist it was an absolute nightmare. There was so much conflicting information out there.
Learn Python.
No Learn R.
Learn Deep Learning.
No focus on regression.
The jargon was hard enough, let alone having to try to navigate competing courses and tasks. Well for this reason I decided to share how I went about learning data science. This is the exact same process I used to go from being an accountant to becoming a data scientist at a large scale tech company.
I go through all of the core concepts you need to get your head around in order to learn Data Science FAST. I focus only on the stuff that’s most important, to help keep you on track!
In this video, you'll learn how to:
1. The 8 key steps to focus on when learning data science
2. The main programming language you should learn for data science...hint its Python
3. How to improving your chances of landing a job as a data scientist
You’ll also get access to a cheat sheet summary of everything shown in the video, which you can access here: github.com/nicknochnack/DataS...
Chapters:
0:00 - Start
0:53 - Learn to Code in Python
1:56 - Identifying Data Science Tasks
3:15 - Understanding Different Types of Data
5:13 - Analyzing and Visualizaing Data
6:44 - Preprocessing and Feature Engineering
7:39 - Modelling + Algorithms and Evaluation
10:24 - Deployment and Integration
11:37 - Domain Expertise and Soft Skills
Oh, and don't forget to connect with me!
LinkedIn: / nicholasrenotte
Facebook: / nickrenotte
GitHub: github.com/nicknochnack
Patreon: / nicholasrenotte
Join the Discussion on Discord: / discord
Happy coding!
Nick
P.s. Let me know how you go and drop a comment if you need a hand!

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