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
Python String Tutorial
In this tutorial, you'll learn all about Python Strings: slicing and striding, manipulating and formatting them with the Formatter class, f-strings, templates and more!
Sejal Jaiswal •
January 18, 2018
Time Series Analysis Tutorial with Python
Get Google Trends data of keywords such as 'diet' and 'gym' and see how they vary over time while learning about trends and seasonality in time series data.
Hugo Bowne-Anderson •
January 17, 2018
Machine Learning with Kaggle: Feature Engineering
Learn how feature engineering can help you to up your game when building machine learning models in Kaggle: create new columns, transform variables and more!Hugo Bowne-Anderson •
January 10, 2018
8 Useful Shell Commands for Data Science
Which shell commands do data scientists use nearly every day? Discover and learn how to use them in this tutorial!
Alexis Perrier •
January 5, 2018
Kaggle Tutorial: Your First Machine Learning Model
Learn how to build your first machine learning model, a decision tree classifier, with the Python scikit-learn package, submit it to Kaggle and see how it performs!Hugo Bowne-Anderson •
January 3, 2018
Kaggle Tutorial: EDA & Machine Learning
In this Kaggle tutorial, you'll learn how to approach and build supervised learning models with the help of exploratory data analysis (EDA) on the Titanic data.Hugo Bowne-Anderson •
December 21, 2017
Fast-and-Frugal Decision Trees in R with FFTrees
An introductory tutorial to fast-and-frugal decision trees in R with the FFTrees package.
DataCamp Team •
December 20, 2017
Five Tips to Improve your R Code
Five useful tips that you can use to effectively improve your R code, from using seq() to create sequences to ditching which() and much more!
Simon Jackson •
December 13, 2017
Python Dictionary Comprehension Tutorial
Learn all about Python dictionary comprehension: how you can use it to create dictionaries, to replace (nested) for loops or lambda functions with map(), filter() and reduce(), ...!Sejal Jaiswal •
December 12, 2017
Python Data Structures Tutorial
Get introduced to Python data structures: learn more about data types and primitive as well as non-primitive data structures, such as strings, lists, stacks, etc.Sejal Jaiswal •
December 8, 2017
AWS EC2 Tutorial For Beginners
Discover why you should use Amazon Web Services Elastic Compute Cloud (EC2) and how you can set up a basic data science environment on a Windows instance.DataCamp Team •
December 6, 2017
Convolutional Neural Networks in Python with Keras
In this tutorial, you’ll learn how to implement Convolutional Neural Networks (CNNs) in Python with Keras, and how to overcome overfitting with dropout.
Aditya Sharma •
December 5, 2017