WorldQuant University is offering a tuition-free Introduction to Data Science program. WorldQuant University continuing education module consists of two eight-week units that challenge students to find several ways to solve problems through data analysis. WQU 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.
The Applied Data Science module is delivered entirely online so students can participate in continuing education without disrupting their lives.
Students who successfully complete Unit I earn a certificate and an invitation to enroll in Unit II. Those who successfully complete Unit II earn an overall certificate. Students have the opportunity to complete either unit of the module with honors.
This is a true introduction to data science and can accomodate beginners with the right amount of foundational knowledge. This professional development opportunity does not require you to have any prior degrees.
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.
Students only need to fill out a short profile on their educational history and technical skillset to apply. The application takes less than 20 minutes to complete.
Schedule of sessions
The module runs four times each calendar year. We strongly encourage all qualified candidates to apply soon, as space in each class is limited and initial interest is high.
|Session Start||Session End||Application Open||Application Deadline|
|July 06, 2020||September 12, 2020||March 23, 2020||June 14, 2020|
|September 28, 2020||December 05, 2020||June 15, 2020||September 07, 2020|
For more information visit WorldQuant University Data science module