Skip to main content
learning data science

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.
Discover categories
Data Analysis

Exploratory Data Analysis of Craft Beers: Data Profiling

In this tutorial, you'll learn about exploratory data analysis (EDA) in Python, and more specifically, data profiling with pandas.
DataCamp Team's photo

DataCamp Team

April 13, 2017

Python

Python Exploratory Data Analysis Tutorial

Learn the basics of Exploratory Data Analysis (EDA) in Python with Pandas, Matplotlib and NumPy, such as sampling, feature engineering, correlation, etc.
Karlijn Willems's photo

Karlijn Willems

March 15, 2017

Python

Python Dictionary Tutorial

In this Python tutorial, you'll learn how to create a dictionary, load data in it, filter, get and sort the values, and perform other dictionary operations.
DataCamp Team's photo

DataCamp Team

February 16, 2017

Python

Scipy Tutorial: Vectors and Arrays (Linear Algebra)

A SciPy tutorial in which you'll learn the basics of linear algebra that you need for machine learning in Python, with a focus how to with NumPy.
Karlijn Willems's photo

Karlijn Willems

February 8, 2017

R Programming

Exploring H-1B Data with R: Part 3

Learn how to geocode locations and map them with R.
Ted Kwartler's photo

Ted Kwartler

January 26, 2017

R Programming

Exploring H-1B Data with R: Part 2

Learn even more about exploratory data analysis with R in the second part of the "Exploring H-1B Data" tutorial series
Ted Kwartler's photo

Ted Kwartler

January 19, 2017

R Programming

Web Scraping and Parsing Data in R | Exploring H-1b Data Pt. 1

Learn how to scrape data from the web, preprocess it and perform a basic exploratory data analysis with R
Ted Kwartler's photo

Ted Kwartler

January 12, 2017

R Programming

15 Easy Solutions To Your Data Frame Problems In R

Discover how to create a data frame in R, change column and row names, access values, attach data frames, apply functions and much more.
Karlijn Willems's photo

Karlijn Willems

January 10, 2017