An Introduction to Data Science and Machine Learning

Stanford Continuing Studies

How long?

  • 8 days
  • online

Stanford Continuing Studies

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Full disclaimer.

About the course

Living in the information age, we are surrounded and overwhelmed by data, making it imperative for us to find ways to identify the data we need, classify and organize it, and draw conclusions from it. Data science is a very practical discipline with many applications in business, science, and government, such as targeted marketing, web analysis, disease diagnosis and outcome prediction, weather forecasting, credit risk and loan approval, customer relationship modeling, and fraud detection. This course presents a high-level overview of three main topics in data science: basic analysis and visualization of data, introductory machine learning concepts, and basic programming in R (a programming language that is widely used for data analysis). The course will include lectures and hands-on, interactive problem-solving. Examples will come from real-world problems in weather, marketing, biology, stocks, neuroscience, medicine, and other disciplines. By the end of the course, students will be able to apply data science techniques to real-world applications in order to draw meaningful conclusions.

What makes our online courses unique:

Course sizes are limited.

You won't have 5,000 classmates. This course's enrollment is capped at 25 participants.

Frequent interaction with the instructor.

You aren't expected to work through the material alone. Instructors will answer questions and interact with students on the discussion board and through weekly video meetings.

Study with a vibrant peer group.

Stanford Continuing Studies courses attract thoughtful and engaged students who take courses for the love of learning. Students in each course will exchange ideas with one another through easy-to-use message boards as well as optional weekly real-time video conferences.

Direct feedback from the instructor.

Instructors will review and offer feedback on assignment submissions. Students are not required to turn in assignments, but for those who do, their work is graded by the instructor.

Courses offer the flexibility to participate on your own schedule.

Course work is completed on a weekly basis when you have the time. You can log in and participate in the class whenever it's convenient for you. If you can’t attend the weekly video meetings, the sessions are always recorded for you and your instructor is just an email away.

Experts

Mohammad Shokoohi-Yekta

Mohammad is a Senior Data & Applied at Microsoft and is currently an Adjunct Faculty at Stanford University. Previously he worked for Apple in California for four years, and other companies including Samsung Research, Bosch and General Electric. He received a PhD in Computer Science from the ...

Videos and materials

An Introduction to Data Science and Machine Learning at Stanford Continuing Studies

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Disclaimer

Coursalytics is an independent platform to find, compare, and book executive courses. Coursalytics is not endorsed by, sponsored by, or otherwise affiliated with any business school or university.

Full disclaimer.

Because of COVID-19, many providers are cancelling or postponing in-person programs or providing online participation options.

We are happy to help you find a suitable online alternative.