Online Courses

APPLIED DATA SCIENCE MODULE: WORLDQUANT UNIVERSITY

Is it not really refreshing to join the Applied Data Science Module and get an opportunity to solve real-world problems through data analysis

Deadline: 5 Sep 2021

Program start date: 27 Sep 2021

Learn the Fundamentals of Data Science, Tuition-free

Our Applied Data Science Module consists of two eight-week units that challenge students to solve real-world problems through data analysis. Our hands-on approach ensures the skills students acquire translate seamlessly into the workplace.

Leverage Real-World Data

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.

Access All the Tools you Need

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.

Learn from the Best

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 Credly badge upon completion of each unit to share and celebrate their professional development.

Teaching method

The Applied Data Science Module is delivered online to enable students to participate in a flexible yet rigorous continuing education program to amplify their skills and knowledge. To apply, applicants fill out a profile on their educational history and technical skillset, which takes about 20 minutes to complete.

Apply for the Applied Data Science Module> CLICK HERE to apply

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You may also be interested in the following> Masters Programmes in Data Science at the University of Rwanda

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African Union Commission Scholar || Founder @ Youth Opportunities Hub || Former RBA COST/Sahel Team at UNDP || TEF Alumni ||

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