Professional Certificates

Learn to clean and analyze data with machine learning techniques.

Come to our three-week intensive Arabic language program. Learn in small classes. Join a supportive and enthusiastic community.

This introductory certification course covers the foundational best practices that drive the most effective customer success organizations.

This intermediate-level course focuses on refining your ability to effectively manage internal relationships and a growing portfolio of accounts.

This advanced-level course focuses on creating a more strategic mindset and approach.

This advanced-level course expands upon the best practices and strategies of customer success management laid out in level II.

Learn crisis communication ethics, assessments, tactics, strategies, and practices. Develop a crisis communication plan for your organization.

As data becomes easier to collect or produce, marketing leaders need to understand how these data can be incorporated into data science programs so as to generate intelligence and learning that inform marketing tactics.

Explore the foundation, application, and future of deep learning.

Expand your knowledge with the Deep Learning II certificate.

Expand your knowledge of deep learning, used in areas such as object recognition, image segmentation, speech recognition, and machine translation.

Come to our three-week intensive Hebrew language program. Learn in small classes. Join a supportive and enthusiastic community.

Explore urgent issues of data ethics, bias and fairness, privacy and surveillance, and disinformation. Study foundations of ethics and broader social trends.

Advance your career with this introduction to data science. Learn SQL and Python to perform data analysis, statistical modeling, and machine learning.

Acquire the basics of machine learning and data science. Learn cross-validation, bias-variance tradeoff, logistic regression, classification, and clustering.

This certificate provides an introduction on how to use Python tools and libraries, focusing primarily on pandas, to perform data analysis.

Use Python code to solve data-related problems. Learn to develop and test code and scripts.

Develop and practice the communication skills of pitching a new idea or new business venture to industry experts.

Advance your career. Learn database design and how to write, debug, and optimize SQL queries.