Data Science Tutorials
Learn data science and AI with step-by-step tutorials on the DataCamp blog. Master Python, SQL, machine learning, and build your own AI agents.
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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
February 16, 2017
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
Ted Kwartler
February 9, 2017
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
February 8, 2017
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
January 12, 2017
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
January 10, 2017
Learn Data Science - Infographic
Start your data science journey now and follow these 8 steps to learn data science.
Karlijn Willems
October 18, 2016
Preprocessing in Data Science (Part 3): Scaling Synthesized Data
You can preprocess the heck out of your data but the proof is in the pudding: how well does your model then perform?
Hugo Bowne-Anderson
May 10, 2016
Preprocessing in Data Science (Part 2): Centering, Scaling and Logistic Regression
Discover whether centering and scaling help your model in a logistic regression setting.
Hugo Bowne-Anderson
May 3, 2016
Preprocessing in Data Science (Part 1): Centering, Scaling, and KNN
This article will explain the importance of preprocessing in the machine learning pipeline by examining how centering and scaling can improve model performance.
Hugo Bowne-Anderson
April 26, 2016
The Data Science Industry: Who Does What (Infographic)
This infograph compares the roles of data scientists, data analysts, data architects, data engineers and more in the data science industry.
Karlijn Willems
November 10, 2015
Web Scraping with R and PhantomJS
Short tutorial on scraping Javascript generated data with R using PhantomJS.
Filip Schouwenaars
March 16, 2015
A data.table R Tutorial: Intro to DT[i, j, by]
The free data.table R tutorial explains the basics and syntax of the data.table package for R. Master the data.table syntax now.
Karlijn Willems
February 3, 2015