Continuing education module consists of two eight-week units that challenge students to find several ways to solve problems through data analysis. Hands-on approach ensures the skills students acquire translate seamlessly into the workplace.
Across both units in the module, students gain a comprehensive introduction to scientific computing, Python, and the related tools data scientists use to succeed in their work. Students will develop machine learning and statistical analysis skills through hands-on practice with open-ended investigations of real-world data.
All students receive complimentary access to a ready-to-use Python environment for the entire module. This allows students to gain first-hand experience with Python, pandas, and Jupyter Notebooks, and allows for immediate immersion into novel data science problems.
The Applied Data Science module is built by Worldquant University’s partner, The Data Incubator, a fellowship program that trains data scientists. Graduates earn a certificate upon completion of each unit to share and celebrate their professional development.
To qualify for the course you must have experience with algebraic concepts such as functions and variables, which are frequently used in programming.
Preference is given to applicants with familiarity in programming fundamentals, basic statistics, linear algebra, and calculus.
Students should expect to commit roughly 8 to 10 hours per week between lecture videos, assignments and individual study.