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Data Science Courses and Paths

Our Data Science Learning Paths and Courses are expertly designed and organized to teach you new skills and to help you reach your data career goals. Browse our data sciences courses and get started for free.

Career Paths_

In-depth, gapless data science courses covering everything you need to learn to successfully advance in a data career.

Data Analyst in R

Beginner friendly

Learn how to manipulate and analyze data.

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Data Analyst in Python

Beginner friendly

Learn how to manipulate and analyze data.

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Data Scientist in Python

Beginner friendly

Learn how to make inferences and predictions using data.

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Data Engineer

Beginner friendly

Learn how to build data pipelines to work with large datasets.

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Skill Paths_

Job-ready data skills that can be immediately applied to your current or future data roles and projects.

SQL Fundamentals

Beginner friendly

Learn how to extract data from databases using SQL.

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Python Basics for Data Analysis

Beginner friendly

Introduce yourself to the Python programming language.

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R Basics for Data Analysis

Beginner friendly

Introduce yourself to the R programming language.

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Data Analysis and Visualization with Python

Beginner friendly

Learn how Python and Pandas simplify data analysis and visualization.

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Data Cleaning with Python

Beginner friendly

Learn how to clean, manipulate, and analyze data with Python.

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Data Visualization with R

Intermediate friendly

Learn how to use R for data visualization.

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APIs and Web Scraping with Python

Intermediate friendly

Learn how to acquire data from APIs and the web.

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APIs and Web Scraping with R

Intermediate friendly

Learn how to acquire data from APIs and the web.

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Machine Learning Introduction with Python

Beginner friendly

Learn how to make inferences and predictions using data.

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Machine Learning Intermediate with Python

Intermediate friendly

Learn how machine learning can help you make predictions with data.

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Probability and Statistics with Python

Beginner friendly

Learn probability and statistics for more robust data analysis.

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Probability and Statistics with R

Intermediate friendly

Learn probability and statistics for more robust data analysis.

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Programming Language_

Data science learning paths by popular programming languages.
web scraping course python

Python Paths

SQL Paths

R Paths

We're always adding new content and would love to hear from you.

All Courses_

Choose the data science sources that meet your specific needs. Each of our hands-on courses allow you to learn data science through coding, so that you can pick up concepts quickly.

Skill level: Beginner

Python for Data Science: Fundamentals Part I

Python for Data Science: Fundamentals Part II

Python for Data Science: Intermediate

Programming Concepts with Python

Python for Data Engineering Fundamentals

Python for Data Engineering Intermediate

Introduction to Data Analysis in R

Data Structures in R

Control Flow, Iteration, and Functions in R

Specialized Data Processing in R: Strings and Dates

Introduction to SQL and Databases

Filtering and Sorting data in SQL

Summarizing Data in SQL

Skill level: Intermediate

Pandas and NumPy Fundamentals

Data Visualization Fundamentals

Storytelling Through Data Visualization

Data Cleaning and Analysis

Data Cleaning in Python: Advanced

Data Cleaning Project Walkthrough

Elements of the Command Line

Text Processing in the Command Line

Intermediate SQL for Data Analysis

APIs and Web Scraping in Python

Data Analysis in Business

Statistics Fundamentals

Statistics Intermediate: Averages & Variability

Probability Fundamentals

Conditional Probability

Hypothesis Testing Fundamentals

Machine Learning Fundamentals

Calculus For Machine Learning

Linear Algebra for Machine Learning

Linear Regression for Machine Learning

Machine Learning Intermediate

Functions Advanced

Kaggle Fundamentals


Command Line Intermediate

Git and Version Control

Spark and Map-Reduce

Algorithm Complexity

Postgres for Data Engineering

Optimizing Postgres Databases

NumPy for Data Engineering

Processing Large Datasets In Pandas

Data Structures Fundamentals

Intermediate SQL: Table Relations and Joins

Building a Data Pipeline

Data Visualization in R

Data Cleaning in R

Data Cleaning in R Advanced

Intermediate SQL in R

APIs in R

Web Scraping in R

Statistics Fundamentals in R

Statistics Intermediate Averages and Variability

Probability Fundamentals in R

Conditional Probability in R

Hypothesis Testing in R

Linear Regression Modeling In R

Introduction to Shiny in R

Skill level: Advanced

Decision Trees

Deep Learning Fundamentals

Machine Learning Projects

Recursion and Trees

Parallel Processing

Introduction to Machine Learning in R

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