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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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Python

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

Python

Scikit-Learn Tutorial: Baseball Analytics Pt 2

A Scikit-Learn tutorial to using logistic regression and random forest models to predict which baseball players will be voted into the Hall of Fame
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Daniel Poston

June 20, 2017

Python

5 Tips to Write Idiomatic Pandas Code

This tutorial covers 5 ways in which you can easily write pandorable or more idiomatic Pandas code.
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DataCamp Team

May 29, 2017

Python

Asyncio: An Introduction

A short introduction to asynchronous I/O with the asyncio package.
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DataCamp Team

May 8, 2017

Python

Scikit-Learn Tutorial: Baseball Analytics Pt 1

A scikit-learn tutorial to predicting MLB wins per season by modeling data to KMeans clustering model and linear regression models.
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Daniel Poston

May 4, 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.
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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.
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DataCamp Team

February 16, 2017

R

Algorithmic Trading in R Tutorial

In this R tutorial, you'll do web scraping, hit a finance API and use an htmlwidget to make an interactive time series chart to perform a simple algorithmic trading strategy
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Ted Kwartler

February 9, 2017