Data Science & Analytics Courses
Learn crucial data science and analytics skills from leading scholars and industry professionals. The I School approaches data science from a multidisciplinary perspective, drawing on insights from the social sciences, computer science, statistics, management, and law.
Selected Spring 2018 Courses
Info 190. Data Mining and Analytics, Spring 2018 (Section 1)
Info 190. Data Mining and Analytics
This course introduces students to practical fundamentals of data mining and machine learning with just enough theory to aid intuition building. The course is project-oriented, with a project beginning in class every week and to be completed outside of class by the following week, or two weeks for longer assignments.
Info 188. Behind the Data: Humans and Values, Spring 2018
Info 188. Behind the Data: Humans and Values
This course provides an introduction to ethical and legal issues surrounding data and society, as well as hands-on experience with frameworks, processes, and tools for addressing them in practice.
Info 247. Information Visualization and Presentation, Spring 2018
Info 247. Information Visualization and Presentation
The design and presentation of digital information. Use of graphics, animation, sound, visualization software, and hypermedia in presenting information to the user. Methods of presenting complex information to enhance comprehension and analysis. Incorporation of visualization techniques into human-computer interfaces. Three hours of lecture and one hour of laboratory per week.
Info 254. Data Mining and Analytics, Spring 2018
Info 254. Data Mining and Analytics
This course introduces students to practical fundamentals of data mining and machine learning with just enough theory to aid intuition building. The course is project-oriented, with a project beginning in class every week and to be completed outside of class by the following week, or two weeks for longer assignments.
Info 290. Marketing Analytics Ecosystem: Customer Behavior, Data, and Technology, Spring 2018 (Section 2)
Info 290. Marketing Analytics Ecosystem: Customer Behavior, Data, and Technology
Marketers want to deliver timely and relevant messages to their customers in support of brand building, acquisition, cross-sell, and retention. Though there are a wide array of channels, tools, and technologies available to multi-channel, multi-product marketers, the path to success is not an easy one.
The most formidable challenges include:
Check out our complete course schedule for other interesting classes.
Also check out courses from the Berkeley Data Science education program.