UC Berkeley and edX just announced that the extremely popular Berkeley course Data 8: Foundations of Data Science will be available online this Spring as a Foundations of Data Science Professional Certificate Program(link is external). The first course starts on April 2nd, 2018 and students can join throughout the course.
The course covers everything from testing hypotheses, applying statistical inferences, visualizing distributions and drawing conclusions— all while coding in Python and using real world data sets. One lesson might take economic data from different countries over the years to track global economic growth. The next might use a data set of cell samples to create a classification algorithm that can diagnose breast cancer. These real-world explorations into data science make advanced statistics and computer science concepts intuitive and applicable for everyone.
“You’ll learn to program when studying data science — but not for the purpose of building apps or games,” Professor John DeNero said. “Instead, we use programming to understand the world around us.”
In an increasingly data-driven world, Data 8x provides students, no matter where they are sitting, an opportunity to jump on board learning how to use, understand and apply data science concepts throughout their life. Every student enrolled in the course is provided their own Jupyter notebook, which allows them to launch a programming environment that includes all the necessary tools to start coding, without any complicated installation or steep learning curve. No prior statistics, computer science, or programming experience is expected.
The program is a sequence of three 5-week courses:
Foundations of Data Science: Computational Thinking with Python(link is external), starting on Monday April 2, teaches the basics of computational thinking, an essential skill in today’s data-driven world, using the popular programming language Python.
Foundations of Data Science: Inferential Thinking by Resampling(link is external) teaches how to use inferential thinking to make conclusions about unknowns based on data in random samples.
Foundations of Data Science: Prediction and Machine Learning(link is external), teaches how to use machine learning, with a focus on regression and classification, to automatically identify patterns in data and make better predictions.
All of these are taught by Berkeley’s award-winning faculty, Ani Adhikari(link is external), John Denero(link is external), and David Wagner. Enjoy their video introduction to the program(link is external).