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Skill tracks

Skill tracks guide you to proficiency in a specific technology, methodology or domain. Become an expert in R/Python programming, Machine Learning, Statistical Modeling and more.

Skill
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R Programming

18 hours 4 courses

Learn about fundamental data types, logic, and how to create your own functions using the R language.

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Importing & Cleaning Data

with R

14 hours 4 courses

Learn how to parse data from flat files, statistical software, databases, websites, and more.

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Data Manipulation

with R

22 hours 4 courses

Master advanced concepts in data manipulation using powerful tools like dplyr and data.table.

Learn More

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Python Programming

15 hours 4 courses

Discover data structures like dictionaries and DataFrames, visualize data with matplotlib, and learn the art of writing your own Python functions.

Learn More

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Importing & Cleaning Data

with Python

13 hours 4 courses

Learn to import data from Excel files, SQL databases, SAS, and the web. Clean your data so it is ready for analysis.

Learn More

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Data Manipulation

with Python

20 hours 4 courses

Harness the power of tools such as pandas and SQLAlchemy so you can extract, filter, and transform your data quickly and efficiently.

Learn More

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Statistics Fundamentals

with R

20 hours 5 courses

Learn the key statistical concepts and techniques used by statisticians and data scientists every day.

Learn More

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Data Visualization

with R

24 hours 5 courses

Communicate the most important features of your data by creating beautiful visualizations using ggplot2 and base R graphics.

Learn More

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Time Series

with R

25 hours 6 courses

Learn the core techniques necessary to extract meaningful insights from time series data.

Learn More

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Applied Finance

with R

19 hours 4 courses

Apply your R skills to financial data, including bond valuation, financial trading, and portfolio analysis.

Learn More

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Finance Basics

with R

18 hours 4 courses

Learn the very basics of R and finance, start manipulating your first-time series, and learn to pull financial data from local files and the internet.

Learn More

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Machine Learning Fundamentals

in R

16 hours 4 courses

Predict categorical and numeric responses via classification and regression, and discover the hidden structure of datasets with unsupervised learning.

Learn More

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Machine Learning

with Python

20 hours 5 courses

Learn the art of science of Machine Learning and come away being a boss at prediction, pattern recognition and the beginnings of Deep Learning.

Learn More

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Text Mining

with R

16 4 courses

Different approaches to organizing and analyzing data of the text variety (books, articles, documents).

Learn More

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Spatial Data

with R

20 hours 4 courses

Working with data that can be used to create maps and building those maps to visualize variable relationships by region.

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Shiny Fundamentals

with R

16 hours 3 courses

Using R to build applications that can be hosted on the internet without using any other web programming languages, like interactive dashboards.

Learn More

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Big Data

with R

20 hours 5 courses

Work with big data in R via parallel programming, interfacing with Spark, writing scalable & efficient R code, and learn ways to visualize big data.

Learn More

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Tidyverse Fundamentals

with R

20 hours 5 courses

Import and tidy data, wrangle and visualize data, and model and communicate with data in R with the tidyverse.

Learn More

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Network Analysis

with R

16 hours 4 courses

From social media to organizational charts to transportation, they can be visualized and analyzed using R. Learn more here!

Learn More

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Interactive Data Visualization

in R

20 5 courses

Build beautiful interactive maps, explore your data by zooming into and hovering over plots, and design engaging, dynamic charts in R.

Learn More

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SQL Fundamentals

17 hours 4 courses

Learn the fundamental skills necessary to interact with the majority of dialects of SQL -- PostgreSQL, MySQL, Oracle, and others!

Learn More

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Statistics Fundamentals

with Python

19 hours 5 courses

Confidently learn to evaluate statistical models, simulate data, and draw conclusions from a wide variety of data sets.

Learn More

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Unsupervised Machine Learning

with R

16 hours 4 courses

Reduce the number of dimensions, aggregate data into factors, and cluster your data points to make clear, robust conclusions!

Learn More

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Marketing Analytics

with R

16 hours 4 courses

Learn common statistical models used in marketing.

Learn More

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Statistical Inference

with R

16 hours 4 courses

A core set of skills in statistical inference necessary to understand, interpret, and tune your statistical & machine learning models.

Learn More

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Data Visualization

with Python

20 hours 5 courses

Supercharge your data science skills using Python's most popular and robust data visualization libraries.

Learn More

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Probability and Distributions

with R

16 hours 4 courses

These courses will provide you with a fun structure to learn a key skill for statisticians, data scientists, and quantitative analysts.

Learn More

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Intermediate Tidyverse Toolbox

17 hours 4 courses

Learn to build machine learning models more effectively using more efficient code and clean data in the tidyverse.

Learn More

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SQL Server Fundamentals

21 hours 4 courses

Learn the fundamental skills necessary to interact with SQL Server.

Learn More

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Python Programming

15 hours 4 courses

Discover data structures like dictionaries and DataFrames, visualize data with matplotlib, and learn the art of writing your own Python functions.

Learn More

Track badge

Importing & Cleaning Data

with Python

13 hours 4 courses

Learn to import data from Excel files, SQL databases, SAS, and the web. Clean your data so it is ready for analysis.

Learn More

Track badge

Data Manipulation

with Python

20 hours 4 courses

Harness the power of tools such as pandas and SQLAlchemy so you can extract, filter, and transform your data quickly and efficiently.

Learn More

Track badge

Machine Learning

with Python

20 hours 5 courses

Learn the art of science of Machine Learning and come away being a boss at prediction, pattern recognition and the beginnings of Deep Learning.

Learn More

Track badge

Statistics Fundamentals

with Python

19 hours 5 courses

Confidently learn to evaluate statistical models, simulate data, and draw conclusions from a wide variety of data sets.

Learn More

Track badge

Data Visualization

with Python

20 hours 5 courses

Supercharge your data science skills using Python's most popular and robust data visualization libraries.

Learn More

Track badge

R Programming

18 hours 4 courses

Learn about fundamental data types, logic, and how to create your own functions using the R language.

Learn More

Track badge

Importing & Cleaning Data

with R

14 hours 4 courses

Learn how to parse data from flat files, statistical software, databases, websites, and more.

Learn More

Track badge

Data Manipulation

with R

22 hours 4 courses

Master advanced concepts in data manipulation using powerful tools like dplyr and data.table.

Learn More

Track badge

Statistics Fundamentals

with R

20 hours 5 courses

Learn the key statistical concepts and techniques used by statisticians and data scientists every day.

Learn More

Track badge

Data Visualization

with R

24 hours 5 courses

Communicate the most important features of your data by creating beautiful visualizations using ggplot2 and base R graphics.

Learn More

Track badge

Time Series

with R

25 hours 6 courses

Learn the core techniques necessary to extract meaningful insights from time series data.

Learn More

Track badge

Applied Finance

with R

19 hours 4 courses

Apply your R skills to financial data, including bond valuation, financial trading, and portfolio analysis.

Learn More

Track badge

Finance Basics

with R

18 hours 4 courses

Learn the very basics of R and finance, start manipulating your first-time series, and learn to pull financial data from local files and the internet.

Learn More

Track badge

Machine Learning Fundamentals

in R

16 hours 4 courses

Predict categorical and numeric responses via classification and regression, and discover the hidden structure of datasets with unsupervised learning.

Learn More

Track badge

Text Mining

with R

16 4 courses

Different approaches to organizing and analyzing data of the text variety (books, articles, documents).

Learn More

Track badge

Spatial Data

with R

20 hours 4 courses

Working with data that can be used to create maps and building those maps to visualize variable relationships by region.

Learn More

Track badge

Shiny Fundamentals

with R

16 hours 3 courses

Using R to build applications that can be hosted on the internet without using any other web programming languages, like interactive dashboards.

Learn More

Track badge

Big Data

with R

20 hours 5 courses

Work with big data in R via parallel programming, interfacing with Spark, writing scalable & efficient R code, and learn ways to visualize big data.

Learn More

Track badge

Tidyverse Fundamentals

with R

20 hours 5 courses

Import and tidy data, wrangle and visualize data, and model and communicate with data in R with the tidyverse.

Learn More

Track badge

Network Analysis

with R

16 hours 4 courses

From social media to organizational charts to transportation, they can be visualized and analyzed using R. Learn more here!

Learn More

Track badge

Interactive Data Visualization

in R

20 5 courses

Build beautiful interactive maps, explore your data by zooming into and hovering over plots, and design engaging, dynamic charts in R.

Learn More

Track badge

Unsupervised Machine Learning

with R

16 hours 4 courses

Reduce the number of dimensions, aggregate data into factors, and cluster your data points to make clear, robust conclusions!

Learn More

Track badge

Marketing Analytics

with R

16 hours 4 courses

Learn common statistical models used in marketing.

Learn More

Track badge

Statistical Inference

with R

16 hours 4 courses

A core set of skills in statistical inference necessary to understand, interpret, and tune your statistical & machine learning models.

Learn More

Track badge

Probability and Distributions

with R

16 hours 4 courses

These courses will provide you with a fun structure to learn a key skill for statisticians, data scientists, and quantitative analysts.

Learn More

Track badge

Intermediate Tidyverse Toolbox

17 hours 4 courses

Learn to build machine learning models more effectively using more efficient code and clean data in the tidyverse.

Learn More

Track badge

SQL Fundamentals

17 hours 4 courses

Learn the fundamental skills necessary to interact with the majority of dialects of SQL -- PostgreSQL, MySQL, Oracle, and others!

Learn More

Track badge

SQL Server Fundamentals

21 hours 4 courses

Learn the fundamental skills necessary to interact with SQL Server.

Learn More

  • Learn real world skills

    In every DataCamp exercise, you are writing and running real R, Python, or SQL code. You won’t just learn the theory, you’ll get hands-on experience exploring real data sets in courses covering the entire data science workflow.

    List of icons and skills

  • A curriculum by world-class Instructors

    DataCamp courses are taught by the best instructors in the world. Our instructors come from academia and industry, are package creators and project maintainers, and have developed some of the most widely used data science tools in the world. With DataCamp, you’ll be learning from the experts.

    Photos of instructors, in a circle

  • Get fluent with case studies and practice mode

    Everyone knows practice is key. With case studies built into every course, you’ll get to apply your new skills right away. Plus, in practice mode, you’ll be able to keep your skills razor sharp with fun daily challenges.

    Practice mode
In my opinion, DataCamp has the most comprehensive catalog for preparing future data scientists for a degree.
Steve Taylor is preparing for a degree in Data Science.
Steve
Ray
Arnaud
Louis
Harshvardhan

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Frequently Asked Questions

What's the difference between a career track and a skill track?

Our career tracks cover everything you need to kickstart your career, from our intro courses to our most advanced offerings. Our skill tracks are shorter and let you specialize in a specific area, like data visualization or statistics.

Once I've started, can I change tracks?

Of course! If you decide to rejoin a track, any new course progress will be applied automatically.

Will I earn a certificate for completing a track?

Yes. In addition to earning certificates for each course you complete, you will earn a special certificate upon completing a track.

Get your questions answered:

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