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Introduction to R

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

4 hours

Introduction to Python

Master the basics of data analysis in Python. Expand your skill set by learning scientific computing with numpy.

4 hours

Intro to SQL for Data Science

Master the basics of querying tables in relational databases such as MySQL, Oracle, SQL Server, and PostgreSQL.

4 hours

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Data Analysis in R, the data.table Way

Master core concepts in data manipulation such as subsetting, updating, indexing and joining your data using data.table.

4 hours

Data Manipulation in R with dplyr

Master techniques for data manipulation using the select, mutate, filter, arrange, and summarise functions in dplyr.

4 hours

Data Visualization in R with ggvis

Learn to create interactive graphs to display distributions, relationships, model fits, and more using ggvis.

4 hours

Reporting with R Markdown

Learn to create interactive analyses and automated reports with R Markdown.

3 hours

Intermediate R

Continue your journey to become an R ninja by learning about conditional statements, loops, and vector functions.

6 hours

Introduction to Machine Learning

Learn to train and assess models performing common machine learning tasks such as classification and clustering.

6 hours

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Learn how to use Python to analyze customer churn and build a model to predict it.

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Data Analysis in R, the data.table Way

Data Manipulation in R with dplyr

Data Visualization in R with ggvis

Reporting with R Markdown

Intermediate R

Introduction to Machine Learning

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Predicting Customer Churn in Python

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Recommended Courses

Introduction to R

Introduction to Python

Intro to SQL for Data Science

Browse by Technology

R

Python

SQL

Git

Shell

Spreadsheets

Browse by Topic

Programming

Importing & Cleaning Data

Data Manipulation

Data Visualization

Probability & Statistics

Machine Learning

Applied Finance

Reporting

Case Studies

Other

Explore our Course Library

Data Analysis in R, the data.table Way

Data Manipulation in R with dplyr

Data Visualization in R with ggvis

Reporting with R Markdown

Intermediate R

Introduction to Machine Learning

Upcoming courses

Predicting Customer Churn in Python

Ready To Learn