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 Science

Data Science for Search Engine Marketing (SEM)

In this tutorial, data science meets Search Engine Marketing: learn to create Google AdWords campaigns by generating keywords and ad templates with Python!

Elias Dabbas

January 26, 2018

Python

Python Iterator Tutorial

Learn all about the Python iterator, how they differ from iterables and generators, and how to build one yourself with __iter__, __next__ and itertools.
Sejal Jaiswal's photo

Sejal Jaiswal

January 23, 2018

Python

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's photo

Sejal Jaiswal

January 18, 2018

Python

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's photo

Hugo Bowne-Anderson

January 17, 2018

Machine Learning

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's photo

Hugo Bowne-Anderson

January 10, 2018

Data Science

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's photo

Alexis Perrier

January 5, 2018

Machine Learning

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's photo

Hugo Bowne-Anderson

January 3, 2018

Python

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's photo

Hugo Bowne-Anderson

December 21, 2017

R Programming

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's photo

Simon Jackson

December 13, 2017