Data Analyst in R
You’ll learn the basics of using R for data analytics, how to work with data sources, data cleaning techniques, how to perform statistical analyses, data visualization techniques, and predictive analysis.
Data Analyst in Python
You’ll learn the basics of using Python for data analytics, how to work with data sources, data cleaning techniques, how to perform statistical analyses, data visualization techniques, and predictive analysis.
Data Scientist in Python
You’ll learn advanced techniques for using Python for data analytics: working with large datasets, machine learning topics, and the basic computer architecture and parallel processing topics.
Data Engineer
You’ll learn how to work with production databases, how to build data pipelines that can handle larger data sets, and learn key computer science concepts like data structures, algorithms, and recursion.
Browse Our Data Science Course Catalog
Choose the courses that meet your specific needs. Each of our hands on courses allow you learn through coding so that you pick up concepts quickly.
Python for Data Science: Fundamentals
Learn the basics of Python programming and data science.
FREE
Python for Data Science: Intermediate
Learn important tools for your Python data science toolbox.
FREE
Pandas & NumPy Fundamentals
Learn how to analyze data using the pandas and NumPy libraries.
FREE + BASIC
Exploratory Data Visualization
Learn how to explore data by creating and interpreting data graphics. This course is taught using matplotlib and pandas.
BASIC
Storytelling Through Data Visualization
Learn how to communicate insights and tell stories using data visualization.
BASIC
Data Cleaning and Analysis
Learn how to clean and combine datasets, then practice your skills.
BASIC
Data Cleaning in Python: Advanced
Learn advanced techniques for cleaning data in Python.
BASIC
Data Cleaning Project Walkthrough
Learn how to clean and combine datasets, then practice your skills.
BASIC
Elements of the Command Line
Learn the basics of the Bash to establish a foundation of working the command line as a springboard to using the command line for data science
BASIC
Text Processing in the Command Line
Learn more about the command line and how to use it in your data science workflow.
BASIC
SQL Fundamentals
Learn the basics of working with SQL databases.
FREE
Intermediate SQL for Data Analysis
Learn to work with multi-table databases.
BASIC
APIs and Web Scraping in Python
Learn how to acquire data from APIs and the web.
BASIC
Statistics: Fundamentals
Learn about sampling, variables and distributions.
BASIC
Statistics Intermediate: Averages & Variability
Learn to summarize distributions, measure variability using variance or standard deviation, and compare values using z-scores.
BASIC
Probability Fundamentals
Learn the fundamentals of probability theory using Python
BASIC
Conditional Probability
Learn about conditional probability, Bayes' theorem, and Naive Bayes.
BASIC
Hypothesis Testing: Fundamentals
Learn more advanced statistical concepts including A/B tests and chi-squared tests for more powerful data analysis.
BASIC
Machine Learning Fundamentals
Learn the fundamentals of machine learning using k-nearest neighbors.
PREMIUM
Calculus for Machine Learning
Learn the calculus necessary for intermediate machine learning techniques like linear regression.
PREMIUM
Linear Algebra for Machine Learning
Learn the linear algebra necessary for intermediate machine learning techniques like linear regression.
PREMIUM
Linear Regression for Machine Learning
Learn how to use the linear regression machine learning model.
PREMIUM
Machine Learning in Python: Intermediate
Dive more into Machine learning.
PREMIUM
Decision Trees
Learn how to construct and interpret decision trees.
PREMIUM
Deep Learning: Fundamentals
Learn the basics of deep neural networks. Includes graph representation, activation functions, multiple hidden layers, and image classification.
PREMIUM
Machine Learning Project
Learn what a complete data science project looks like, from data cleaning to machine learning.
PREMIUM
Kaggle Fundamentals
Learn how to get started with and participate in Kaggle competitions with Kaggle's 'Titanic' competition.
PREMIUM
Functions: Advanced
Learn how to write high-quality functions.
PREMIUM
Command Line: Intermediate
Learn more about the command line and how to use it in your data analysis workflow.
BASIC
Git & Version Control
Learn the basics of Python programming and data science.
BASIC
Spark & Map-Reduce
Learn how to use Apache Spark and the map-reduce technique to clean and analyze large datasets.
PREMIUM
Python Fundamentals
Learn the basics of Python programming for data engineering.
FREE
Python Intermediate
Learn important tools for your Python data science toolbox.
FREE
Programming Concepts with Python
Enhance your understanding of how Python works.
PREMIUM
SQL Intermediate: Table Relations & Joins
Learn to work with multi-table databases.
PREMIUM
Postgres for Data Engineers
Learn about the SQL database Postgres.
PREMIUM
Optimizing Postgres Databases
Learn how to optimize your Postgres databases.
PREMIUM
NumPy for Data Engineers
Learn to optimize your data processing using the NumPy library.
PREMIUM
Processing Large Datasets in Pandas
Learn how to work with datasets by optimizing your pandas workflow, processing data in batches, and augmenting pandas with SQLite.
PREMIUM
Optimizing Code Performance on Large Datasets
Learn how to process data more quickly by optimizing CPU and I/O performance. Learn to parallelize your code for better performance.
PREMIUM
Algorithms & Data Structures
Learn about different data structures, and how they can help speed up your data analysis.
PREMIUM
Recursion & Trees
Learn about recursion and how it applies to tree data structures, and how tree data structures are used to speed up processing of data analysis tasks.
PREMIUM
Building a Data Pipeline
Learn how to build a Python data pipeline from scratch.
PREMIUM
Introduction to Data Analysis in R
Learn the basics of R, a popular programming language for data analysis.
FREE
Data Structures in R
Learn about vectors, matrices, lists, dataframes, and more in R.
FREE
Control Flow, Iteration, and Functions in R
Enhance your R programming skills with if statements, for loops, and much more.
FREE
Specialized Data Processing in R: Strings and Dates
Learn to work with specialized data types like text data, times, and dates in R.
FREE
Data Visualization in R
Learn to use the ggplot2 package for exploratory data visualization in R.
BASIC
Data Cleaning in R
Learn to perform common data cleaning tasks.
BASIC
Data Cleaning in R: Advanced
Learn advanced techniques for cleaning data in R.
BASIC
Intermediate SQL in R
Learn to work with multi-table databases.
BASIC
APIs in R
Learn to work with APIs in R.
BASIC
Web Scraping in R
Learn to scrape data from webpages using R and rvest.
BASIC
Statistics Fundamentals in R
Learn about sampling, variables and distributions.
BASIC
Statistics Intermediate in R: Averages and Variability
Learn some intermediate statistic techniques such as calculating z-scores.
BASIC
Probability Fundamentals in R
Learn the fundamentals of probability theory using R.
BASIC
Conditional Probability in R
Learn about Bayes's Theorem and use it to build a spam filter.
BASIC
Hypothesis Testing in R
Learn the fundamentals of hypothesis testing using R.
BASIC
Linear Regression Modeling In R
Learn linear regression modeling in R.
BASIC
Introduction to Machine Learning in R
Learn the fundamentals of machine learning using R and the caret library.
BASIC