Old Version Data Scientist with Python A Data Scientist combines statistical and machine learning techniques with Python programming to analyze and interpret complex data. Learn More

Introduction to Python Master the basics of data analysis in Python. Expand your skillset by learning scientific computi...

Introduction to R Master the basics of data analysis by manipulating common data structures such as vectors, matric...

Introduction to SQL Master the basics of querying tables in relational databases such as MySQL, SQL Server, and Postg...

Intermediate Python Level up your data science skills by creating visualizations using Matplotlib and manipulating Da...

Intermediate R Continue your journey to becoming an R ninja by learning about conditional statements, loops, and...

Introduction to the Tidyverse Get started on the path to exploring and visualizing your own data with the tidyverse, a powerful...

Joining Data in SQL Join two or three tables together into one, combine tables using set theory, and work with subque...

Supervised Learning with scikit-learn Learn how to build and tune predictive models and evaluate how well they'll perform on unseen data.

Python Data Science Toolbox (Part 1) Learn the art of writing your own functions in Python, as well as key concepts like scoping and e...

Python Data Science Toolbox (Part 2) Continue to build your modern Data Science skills by learning about iterators and list comprehens...

Introduction to Importing Data in Python Learn to import data into Python from various sources, such as Excel, SQL, SAS and right from the...

Statistical Thinking in Python (Part 1) Build the foundation you need to think statistically and to speak the language of your data.

Introduction to Importing Data in R In this course, you will learn to read CSV, XLS, and text files in R using tools like readxl and ...

Introduction to Deep Learning in Python Learn the fundamentals of neural networks and how to build deep learning models using Keras 2.0.

Writing Efficient Python Code Learn to write efficient code that executes quickly and allocates resources skillfully to avoid u...

pandas Foundations Learn how to use the industry-standard pandas library to import, build, and manipulate DataFrames.

Introduction to PySpark Learn to implement distributed data management and machine learning in Spark using the PySpark p...

Unsupervised Learning in Python Learn how to cluster, transform, visualize, and extract insights from unlabeled datasets using sc...

Intermediate Importing Data in Python Improve your Python data importing skills and learn to work with web and API data.

Web Scraping in Python Learn to retrieve and parse information from the internet using the Python library scrapy.

Introduction to Databases in Python In this course, you'll learn the basics of relational databases and how to interact with them.

Introduction to Data Visualization in Python Learn complex data visualization techniques using Matplotlib and seaborn.

Statistical Thinking in Python (Part 2) Learn to perform the two key tasks in statistical inference: parameter estimation and hypothesis ...

Data Science for Business Learn about data science and how can you use it to strengthen your organization.

Cleaning Data in Python This course will equip you with all the skills you need to clean your data in Python.

Manipulating DataFrames with pandas You will learn how to tidy, rearrange, and restructure your data using versatile pandas DataFrames.

Intermediate Importing Data in R Parse data in any format. Whether it's flat files, statistical software, databases, or data right...

Linear Classifiers in Python In this course you will learn the details of linear classifiers like logistic regression and SVM.

Introduction to Network Analysis in Python This course will equip you with the skills to analyze, visualize, and make sense of networks usin...

Case Study: School Budgeting with Machine Learn... Learn how to build a model to automatically classify items in a school budget.

Merging DataFrames with pandas This course is all about the act of combining, or merging, DataFrames, an essential part your Dat...

Introduction to Deep Learning with PyTorch Learn to create deep learning models with the PyTorch library.

Software Engineering for Data Scientists in Python Learn all about modularity, documentation, & automated testing to help you solve Data Science...

Interactive Data Visualization with Bokeh Learn how to create versatile and interactive data visualizations using Bokeh.

Image Processing with Keras in Python Learn powerful techniques for image analysis in Python using deep learning and convolutional neur...

Advanced Deep Learning with Keras Build multiple-input and multiple-output deep learning models using Keras.

Feature Engineering with PySpark Learn the gritty details that data scientists are spending 70-80% of their time on; data wranglin...

Importing & Cleaning Data in R: Case Studies In this series of four case studies, you'll revisit key concepts from our courses on importing an...