Get the data experience you need as you learn.
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.
Skill Paths_
Job-ready data skills that can be immediately applied to your current or future data roles and projects.
Programming Language_
Data science learning paths by popular programming languages.
All Courses_
Choose the data science courses 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
- Variables, Data Types, and Lists in Python
- For Loops and Conditional Statements in Python
- Dictionaries, Frequency Tables, and Functions in Python
- Python Functions and Jupyter Notebook
- Python for Data Science: Intermediate
- Programming Concepts with Python
- Python for Data Engineering Fundamentals Part I
- Python for Data Engineering Fundamentals Part II
- Python for Data Engineering Intermediate
- Intro to R Rewrite
- Data Structure in R Rewrite
- Intermediate R Part I
- Intermediate R Part II
- SQL Fundamentals Part I
- SQL Fundamentals Part II
- SQL Summary
Skill level: Intermediate
- Pandas and NumPy Fundamentals
- Exploratory Data Visualization
- 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
Increase your depth of data knowledge every day.
Sign up for a free account
Get access to hundreds of free lessons and practice problems
Choose your data topic
Start anywhere, from beginner topics to advanced concepts
Start coding
Get the technical experience you need as you learn
Apply your skills
Create projects, level up your work, build your resume
Achieve your data career goals with confidence.
Create your Dataquest account →
By creating an account you agree to accept our terms of use and privacy policy.
