We live in an era of unprecedented access to data. Understanding how to organize and leverage the vast amounts of information at our disposal are critical skills that allow us to infer upon the world and make informed decisions. This course will introduce you to such skills.
Individual course: $199
Course duration: 5 weeks
Time commitment: 4-6 hours each week
Experience level: Introductory
Learning partner: University of California, Berkeley
Course type: Self-paced on your time
Subjects: Computer science, data analysis, statistics, and IT
To work with large amounts of data, you will need to harness the power of computation through programming. This course teaches you basic programming skills for manipulating data. You will learn how to use Python to organize and manipulate data in tables, and to visualize data effectively. No prior experience with programming or Python is needed, nor is any statistics background necessary.
The examples given in the course involve real-world data from diverse settings. Not all data is numerical – you will work with different types of data from a variety of domains. Though the term “data science” is relatively new, the fundamental ideas of data science are not. The course includes powerful examples that span the centuries from the Victorian era to the present day.
This course emphasizes learning through doing: you will work on large real-world data sets through interactive assignments to apply the skills you learn. Throughout, the underlying thread is that data science is a way of thinking, not just an assortment of methods. You will also hone your interpretation and communication skills, which are essential skills for data scientists.
Topics of study
Basics of the Python programming language, and how to use it as a tool for data analysis
Tools widely used by industry and academic data scientists, such as Jupyter Notebooks
How to use computation to help your data tell a story
Fundamental principles and methods of visualization
About the University of California, Berkeley
The University of California, Berkeley was chartered in 1868, and its flagship campus — envisioned as a "City of Learning" — was established at Berkeley, on San Francisco Bay. Berkeley faculty consists of 1,582 full-time and 500 part-time faculty members dispersed among more than 130 academic departments and more than 80 interdisciplinary research units. Berkeley alumni have received 28 Nobel prizes, and there are eight Nobel laureates, 32 MacArthur Fellows, and four Pulitzer Prize winners among the current faculty.
In September 2012, to mark Berkeley's commitment to innovation in teaching and learning, The Berkeley Resource Center for Online Education (BRCOE) was formed. The Center is a resource hub and an operational catalyst for all internal campus-wide and external resources to advise, coordinate, and facilitate the university’s online education initiatives, ranging from credit and non-credit courses, to online degree programs and MOOC projects, including the MOOCLab initiative.
BRCOE's new MOOCLab is a three-year research initiative to fund and develop Massive Open Online Courses (MOOCs) as vehicles for pedagogical research in online education.
Berkeley is also working with edX to develop and foster adoption of Small Private Online Courses (SPOCs) on campuses around the world. SPOCs are designed to supplement and enhance the learning experience of on-campus students, while providing local faculty an opportunity for more interactive activities and more time for “high-touch” pedagogy.