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Data Science Tutorials
Advance your data career with our data science tutorials. We walk you through challenging data science functions and models step-by-step.
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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
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
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
R Formula Tutorial
Discover the R formula and how you can use it in modeling- and graphical functions of well-known packages such as stats, and ggplot2.
Karlijn Willems
November 23, 2017
Pipes in R Tutorial For Beginners
Learn more about the famous pipe operator %>% and other pipes in R, why and how you should use them and what alternatives you can consider!
Karlijn Willems
December 21, 2022
Web Scraping & NLP in Python
Learn to scrape novels from the web and plot word frequency distributions; You will gain experience with Python packages requests, BeautifulSoup and nltk.
Hugo Bowne-Anderson
October 13, 2017
Hierarchical indices, groupby and pandas
In this tutorial, you’ll learn about multi-indices for pandas DataFrames and how they arise naturally from groupby operations on real-world data sets.
Hugo Bowne-Anderson
March 31, 2023
Groupby, split-apply-combine and pandas
In this tutorial, you'll learn how to use the pandas groupby operation, which draws from the well-known split-apply-combine strategy, on Netflix movie data.
Hugo Bowne-Anderson
September 26, 2017
Poker Probability and Statistics with Python
Tackle probability and statistics in Python: learn more about combinations and permutations, dependent and independent events, and expected value.
Daniel Poston
September 21, 2017
Graph Optimization with NetworkX in Python
This NetworkX tutorial will show you how to do graph optimization in Python by solving the Chinese Postman Problem in Python.
Andrew Brooks
September 12, 2017
Detecting Fake News with Scikit-Learn
This scikit-learn tutorial will walk you through building a fake news classifier with the help of Bayesian models.
Katharine Jarmul
August 24, 2017
Apache Spark Tutorial: ML with PySpark
Apache Spark tutorial introduces you to big data processing, analysis and ML with PySpark.
Karlijn Willems
July 28, 2017