Python is a general-purpose programming language that is becoming ever more popular for data science. Companies worldwide are using Python to harvest insights from their data and gain a competitive edge. Unlike other Python tutorials, this course focuses on Python specifically for data science. In our Introduction to Python course, you’ll learn about powerful ways to store and manipulate data, and helpful data science tools to begin conducting your own analyses. Start DataCamp’s online Python curriculum now.

Master the basics of data analysis in Python. Expand your skillset by learning scientific computing with NumPy.

Discover how to use Python for data science, learning about the ways to store and manipulate data in the environment to begin conducting your own analyses.

Introduction to Python

Not sure if this is the type of online statistics course you’re looking for? Or perhaps not yet familiar with DataCamp’s interactive learning interface? By taking this free course, you can discover it for yourself! Via a combination of videos and interactive coding challenges, this introductory course will teach you about variables, plotting, and summary statistics like the mean and standard deviation. Enjoy learning by doing!

A friendly introduction to fundamental concepts in statistics in R.

This introductory statistics with R tutorial will teach you about variables, plotting, and summary statistics like the mean and standard deviation.

Free Introduction to Statistics with R

Intro to Statistics with R: Introduction

Always wanted to compete in a <a href='https://www.kaggle.com/?utm_medium=partner&utm_source=datacamp.com&utm_campaign=datacamp+r' target="_blank">Kaggle</a> machine learning competition but not sure you have the right skillset? This interactive tutorial by Kaggle and DataCamp on Machine Learning data sets offers the solution. Step-by-step you will learn through fun coding exercises how to predict survival rate for Kaggle's Titanic competition using R Machine Learning packages and techniques. Upload your results and see your ranking go up! New to R? Give our <a href='https://www.datacamp.com/courses/free-introduction-to-r' target="_blank">Introduction to R</a> course a try.

Kaggle R Tutorial on Machine Learning

Intro to Python for Data Science (edX 1.1)

Intro to Python for Data Science (edX 1.2)

In this course you will begin learning the art and science of data exploration. You'll also become familiar with some of the most widely used visualization packages in data science. You'll get the chance to explore a number of fun & interesting datasets such as the <a href='https://www.kaggle.com/census/2013-american-community-survey' target="_blank">2013 American Community Survey</a>, pigeon racing data, data on the length of chopsticks and Marijuana prices in the US. After completing the course, you'll be able to upload your first <a href='https://www.kaggle.com/scripts' target="_blank">Kaggle Script</a>. <hr> Bonus Chapter: Once you have finished your exercises on DataCamp it's time to start building a data science portfolio with your new skills! In this bonus chapter, you'll be given the chance to publish analyses on Kaggle Scripts that you've personalized with information from your own life. <ul> <li><a href='https://www.kaggle.com/benhamner/d/kaggle/us-baby-names/babies-named-benjamin-over-time'>(Basic) Visualize a dataset on US Baby Names to learn the popularity of your name or a friend's name in the USA over the past 100+ years.</a></li> <li><a href='https://www.kaggle.com/benhamner/d/kaggle/college-scorecard/exploring-your-college-duke-university'>(Intermediate) Create a polished analysis in RMarkdown that walks readers through recent changes at the college you attended or would like to attend. You will explore changes in enrollment, tuition, admissions rate, and degree types.</a></li> <li>(Advanced) Each of Ben's scripts end with suggestions for creating an even meatier analysis. Which ones can you use to extend your work?</li> </ul> To start each exercise, follow the link to a script that has been created by Kaggle CTO Ben Hamner. Review the code or output to find instructions for creating a custom analysis. Then click Fork on the script to create an editable copy and get started.

Data Exploration With Kaggle Scripts

This course contains all lessons from swirl's Getting and Cleaning Data course. Learn how to use dplyr, tidyr, and lubridate all inside RStudio.

Getting and Cleaning Data with swirl

In this demonstration, you will learn how to use the googleVis package in R to create a few beautiful interactive charts. The charts created in these exercises are inspired by the work of data guru <a href="http://www.ted.com/speakers/hans_rosling", target="_blank">Hans Rosling</a>. GoogleVis provides an interface between R and the Google Charts Tools, allowing you to create interactive web charts from R without uploading your data to Google. You can check out the latest googleVis news at co-author Markus Gesmann's <a href="http://www.magesblog.com/search/label/googleVis", target="_blank">blog</a>.

Having Fun with googleVis

This course introduces basic concepts of data science, data exploration, preparation  in Python and then prepares you to participate in exciting machine learning competitions on Analytics Vidhya.

Introduction to Python & Machine Learning (with Analytics Vidhya Hackathons)

Most of the world's data are not sorted in a clean and organized fashion; nor are they easy to process. As a data scientist, you need to know what the standards for tidy data are and how to create tidy datasets from messy ones. This mini-course will prepare you for these tasks.

Tidy Data in Python Mini-Course

In this mini-course, you'll learn several useful features of Hadley Wickham's <code>readr</code> package. First, you'll practice importing and exporting datasets, then learn some more advanced features including functions to help with type conversion.

Reading Data into R with readr

In this introduction to R course, you'll master the basics of this widely used open source language&mdash;including vectors, factors, lists, and data frames. With the coding skills you'll gain in this course, you'll be ready to undertake your own data analysis in R. There are millions of R users worldwide, cementing it as a leading programming language in statistics and data science. More and more organizations are using R, so begin your coding journey in one of DataCamp's most popular courses today!

Master the basics of data analysis by manipulating common data structures such as vectors, matrices, and data frames.

DataCamp's Into to R training course teaches you how to use R programming for data science at your own pace with video tutorials & interactive challenges.

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