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Data Science Tutorials

Develop your data science skills with tutorials in our blog. We cover everything from intricate data visualizations in Tableau to version control features in Git.
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Data Preparation with pandas

In this tutorial, you will learn why it is important to pre-process data and how to do it in pandas.

Sejal Jaiswal

May 20, 2019


Argument Parsing in Python

In this tutorial, learn how to parse one or more arguments from the command-line or terminal using the getopt, sys, and argparse modules.
Sayak Paul's photo

Sayak Paul

May 16, 2019


Conditional Formatting in Spreadsheets

Learn how to utilize conditional formatting with one or multiple conditions and how to color cells by custom criteria with the help of a dataset.
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Aditya Sharma

May 7, 2019


Leveraging the Best of both Python and R

Learn how to use Python and R in conjunction with each other to utilize the best of both in a single data science project.
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Parul Pandey

May 1, 2019


Cleaning Data in SQL

In this tutorial, you'll learn techniques on how to clean messy data in SQL, a must-have skill for any data scientist.
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Sayak Paul

April 24, 2019


Aggregate Functions in SQL

Learn how to use aggregate functions for summarizing results and gaining useful insights about data in SQL.
Sayak Paul's photo

Sayak Paul

April 17, 2019


Introduction to Factor Analysis in Python

In this tutorial, you'll learn the basics of factor analysis and how to implement it in python.
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Avinash Navlani

April 12, 2019