Best resources to learn Data Science

Agree or not Data Science is booming nowadays with more and more companies adopting it as a tool for driving key insights from their data. Even Harvard Business Review have named “Data Scientist” as sexiest job of 21th century. Some of states in USA are becoming HUB for data science related activity.

Below is complete guide for Data Science Resources: –

Statistics

Stats play a quite crucial role in the Data Science Lifecyle and helps in understanding data and draw conclusions from it using different concepts like Probability Theory, Central Limit Theorem etc. In order to learn Statistics watch the following tutorial lecture. Although it’s quite long lecture but it covers all of required stuff for data science. This tutorial is presented by Dr. Abhinanda Sarkar Ph. D. from Stanford University in Statistics.

Programming

Most of Data Scientist typically use Python/R/SQL programming language in their day-to-day job role. Python and R is used for doing Data Analysis or Data Visualisation while SQL is used for dealing with data(like retrieving data from a database or writing to database).

Python

Python is an interpreted, object-oriented, high-level programming language with dynamic semantics. Its high-level built in data structures, combined with dynamic typing and dynamic binding, make it very attractive for Rapid Application Development, as well as for use as a scripting or glue language to connect existing components together.

As per official documentation of python

There are many resources for learning Python available online, but below is list of resources which I’ve personally used for learning Python.

Python Tutorial By Tutorialspoint

Python Tutorial By LearnPython

Real Python Tutorials

Moreover watch following tutorial which is presented by experts from freecodecamp ->

R

R programming language is as important as Python in Data Science. There are some features which R have but Python and vice-versa. Thus both of these programming languages are complementary to each other. On the top of that having R as a skill would enhance profile for job role as Data Scientist.

Following is the list of resources which I’ve used in order to learn R programming language.

R for Data Science by Garrett Grolemund, Hadley Wickham

R tutorial by Cyclismo

Watch following tutorial as well quite helpful for understanding how R can be used practically ->

SQL

SQL is a domain-specific language used in programming and designed for managing data held in a relational database management system, or for stream processing in a relational data stream management system.

In Data Science domain it’s used vastly specifically for storing data collected. For example – In case of a Retailer data about sales made can be stores in a database. Now if Data Scientist want to retrieve that data then SQL is required.

Below are resources for learning SQL ->

SQL tutorial by w3schools

SQL tutorial by TutorialsPoint

SQL course by LearnSQL

Tutorial by SQLzoo

In order to learn how to apply SQL practically watch following tutorials ->

Gagan

Hi, there I'm founder of ComputerScienceHub(Started this to bring useful Computer Science information just at one place). Personally I've been doing JavaScript, Python development since 2015(Been long) - Worked upon couple of Web Development Projects, Did some Data Science stuff using Python. Nowadays primarily I work as Freelance JavaScript Developer and on side-by-side managing team of Computer Science specialists at ComputerScienceHub.io

4 thoughts on “Best resources to learn Data Science

    1. Thanks, I love Data Science, Coding(specifically Python Programming Language). If you find this website useful then do share it with your friends.

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