Data Scientist are in high demand, ranked the #1 profession in America on Glassdoor. And according to Forbes, an additional 1,700 job openings paying an average salary of $116,000 US dollars are available, contributing to an exponential expansion of the field.

So are you interested in Data Science but not sure where to start? Here’s a breakdown of a few steps and resources to help you gain a foundation to pursue your studies or undergo a career change into the trending and lucrative field of Data Science.

### 1. Start by brushing up on your Math

*Calc I-II*

Professor Leonard’s videos – he is the best resource for Calc I and II in my opinion

Paul’s Notes – great for practice sets and for clear notes

PatrickJMT’s YouTube account

*Linear Algebra (books)*

Linear Algebra from UC Davis

Linear Algebra from Saint Michael’s College

Linear Algebra Done Wrong

*Statistics Foundation*

Intro to Statistics

Stanford’s online Statistical Learning with R

*Probability, preferably using R (books)*

Introduction to Probability and Statistics Using R

Introductory Statistics with R, 2nd edition

*Bonus: Econometrics*

Mark Thoma’s YouTube channel

idre UCLA Resources for R

### 2. Knowing a bit of programming is an advantage for Data Scientist and Python Language is the best bet. For an intro to Python:

Automate the Boring Stuff course – make sure to find a coupon for the class, the book is free online

Python for Everybody Specialization

An Introduction to Interactive Programming in Python – Part I & Part II

Introduction to Computer Science and Programming Using Python

### 3. Data Analysis, nuff said.

Data Science Class at Harvard (CS 109/ Stat 221)

Introduction to Computational Thinking and Data Science – followup to the Intro to Computer Science & Programming using Python

Data Analysis and Statistical Inference

Code Academy for Data Scientists

### 4. Machine Learning will help with your data analysis and access hidden insights.

Andrew Ng’s class – widely recommended by many people

Neural Networks for Machine Learning

### 5. SQL will make your life easier and help you access the data you need.

SAMS Teach Yourself SQL in 10 Minutes

Khan Academy course for introductory SQL

W3Schools

### 6. Last but not least, a few additional resources that are always a good go to.

Join meet-up groups, there is likely to be no shortage of good ones.

Read the book Data Science from Scratch

Finding interesting datasets – data.gov; Reddit r/datasets; R10 – Yahoo News Feed dataset, version 1.0 (1.5TB) & UCI Machine Learning Repository

Check out a list of 100 free data science books

Are there any additional resources that you use or have used? Please share with you fellow Data Scientists.

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