There’s an interesting Q&A in Quora on ‘How can I become a data scientist?’. We’d like to summarize the learning path recommended by Alex Kamil, one of the most viewed writers in Quora on Data Science. We provided some useful links for you to follow up on each stage/step:

[Here’s a report on how much Data Scientists get paid in US in 2016: Salary Insights 2016]

**Learn about linear algebra/matrix factorizations**

Standford’s Applied Linear Algebra Refresher: http://stanford.edu/~arbenson/refresher/applied-la-2013.pdf

Linear Algebra and Its Applications by David C. Lay

University of California, Davis’ Textbook on Linear Algebra**Learn about distributed database systems**Learn the usage of different design strategies for distributed databases, and study query processing techniques and algorithms, transaction management and concurrency control concepts used in such systems.

Purdue University’s Course: https://www.cs.purdue.edu/homes/clifton/cs542/**Learn about statistical analysis**

MIT’s Statistical Thinking and Data Analysis Course: http://ocw.mit.edu/courses/sloan-school-of-management/15-075j-statistical-thinking-and-data-analysis-fall-2011/

Statistics and Data Analysis: From Elementary to Intermediate

The Elements of Statistical Learning

An Introduction to Statistical Learning with Applications in R

Probability and Statistics for Programmers

Statistics for Hackers**Learn about mathematical optimization or more generally, computational mathematics**

Standford’s Convex Optimization Course: http://web.stanford.edu/~boyd/cvxbook/, http://web.stanford.edu/~boyd/cvxbook/bv_cvxbook.pdf**Learn about machine learning**

Standford’s Machine Learning Course: http://cs229.stanford.edu/materials.html

Python Machine Learning

Machine learning projects: http://cs229.stanford.edu/projects2015.html

Machine Learning Cheatsheet**Learn about Information retrieval**Information retrieval (IR) is finding material (usually documents) of an unstructured nature (usually text) that satisfies an information need from within large collections (usually stored on computers).

Standford’s Information Retrieval Course: http://nlp.stanford.edu/IR-book/**Learn about signal detection and estimation**

University of Illinois at Chicago’s Detection and Estimation Course: http://www.ece.uic.edu/~devroye/courses/ECE531/

Fundamentals of Statistical Signal Processing, Volume I: Estimation Theory

Fundamentals of Statistical Signal Processing, Volume II: Detection Theory**Master algorithms and data structures**

Princeton University’s Algorithms and Data Structures Course: https://www.cs.princeton.edu/~rs/AlgsDS07/

**Practice Problems**

**Titanic dataset from Kaggle**

**Human activity recognition using smartphone dataset**

Hubway Visualization challenge

MovieLens Dataset- Take a look at the list of Machine Learning & Data Science skills/areas you need to focus on to get hired by Fortune 500 Companies

Pingback: This Week in Big Data Analytics (Jul 10, 2016) - Big Data Analytics Guide()

Pingback: Learning Path To Become Data Scientist – Top Big Data News()