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The Applied Data Science Lab is a credentialed offering where students tackle real-world, meaningful, and complex problems.

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Applied Data Science Lab

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The Applied Data Science Lab is a credentialed offering where students tackle real-world, meaningful, and complex problems.

Our application process is designed for those who are ready to build their future, today. Start your studies as soon as you are accepted.

Learn the fundamentals of data science, tuition-free.

  • Leverage Real-World Data

  • Access All the Tools You Need

  • Guides by Your Side

  • Develop the Skills to Build a Professional Portfolio

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Skills Gained During the Lab

  • DATABASE MANAGEMENT: Extract data from SQL and NoSQL databases
  • DATA CLEANING & PREPROCESSING: Clean authentic, messy datasets
  • REGRESSION & CLASSIFICATION MODELING: Build predictive models for regression and classification
  • DATA VISUALIZATION: Create compelling visualizations to explain data characteristics and model performance
  • ETHICS IN MACHINE LEARNING: Discuss the ethical implications of deploying models in the real world and the environmental impact of machine learning models
  • BUSINESS INSIGHT & INTELLIGENCE: Learn how to apply machine learning to business problems

Lab Projects

Build illustrative models to:

Program Requirements

The Applied Data Science Lab is a hands-on learning experience that accommodates learners with the right amount of foundational knowledge and a commitment to success.

The Lab runs continuously, so you can start as soon as your application is accepted.

  • Beginner-level Python skills
  • Familiarity with basic statistics
  • Between lecture videos, assignments, office hours, and individual study, students should expect to commit roughly 10 to 15 hours per week
  • This professional development opportunity does not require any prior degrees or credentials

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Applied Data Science Lab

Program DetailsLab Application

WorldQuant University is a leader in global education for data sciences. We deliver entirely free, online programs that expand access to studies and credentials in data sciences.