Program Catalog

Data Engineering is the foundation for the new world of Big Data. Enroll now to build production-ready data infrastructure, an essential skill for advancing your data career.

Use Python, SQL, and statistics to uncover insights, communicate critical findings, and create data-driven solutions.

Build effective machine learning models, run data pipelines, build recommendation systems, and deploy solutions to the cloud with industry-aligned projects.

Gain foundational data skills applicable to any industry. Collect and analyze data, model business scenarios, and communicate your findings with SQL, Excel, and Tableau.

Learn the fundamental programming tools for data professionals: Python, SQL, the Terminal and Git.

Hone specialized skills in Data Product Management by learning how to apply data science best practices to build data-driven products backed by scalable data strategies to deliver the right experience to the right users, at the right time.

Master SQL, the core language for Big Data analysis, and enable insight-driven decision-making and strategy for your business.

Learn how to stream data to unlock key insights in real-time.

Monetization Strategy is the third of three courses in the Growth Product Manager Nanodegree program. Hone specialized Product Management skills in monetization strategy by learning how to implement strategies to drive profitable growth for your business. Build and test pricing plans and market selection, target the right buyer personas, and be equipped to harness their full lifetime value.

Predictive analytics is the practice of determining patterns from data to predict future outcomes and trends. Across industries, it enables high-value solutions to important business problems.

Combine data, visuals, and narrative to tell impactful stories and make data-driven decisions.

Prepare for a data science career by learning the fundamental data programming tools: R, SQL, command line, and git.

Master the people, platforms, and processes required to leverage the power of Data Science in your business.

Learn how to plan, design and implement enterprise data infrastructure solutions and create the blueprints for your organization’s data success.

What does a data scientist do? In this course, we will survey the main topics in data science so you can understand the skills that are needed to become a data scientist!

Explore a variety of datasets, posing and answering your own questions about each. You'll be using the Python libraries NumPy, Pandas, and Matplotlib.

Learn to use Structured Query Language (SQL) to extract and analyze data stored in databases

This course presents an example of applying a database application development methodology to a major real-world project.

Intro to Inferential Statistics will teach you how to test your hypotheses and begin to make predictions based on statistical results drawn from data!

Master how to work with big data and build machine learning models at scale using Spark!

This course will introduce students to the field by covering state­-of-­the-art modeling, analysis and visualization techniques.