Data Science Summer School

This introductory data science course focuses on real-world data acquisition, cleaning, and utilization for research. Unlike traditional courses, it emphasizes handling raw data, requiring students to acquire and prepare data themselves. Through scripting in Python and R, learners will conduct exploratory analysis and model data. The course also introduces basic applied statistics and machine learning, teaching methods for supervised and unsupervised learning. Students will engage in formulating modeling tasks and evaluating models with practical applications such as spam filtering and recommendation systems.

• Before You Learn / Who This Course Is For

  • Ideal for beginners in data science

  • Open to technical and non-technical learners

  • No specific prerequisites required

• What to Expect

  • Self-paced, online learning format

  • Hands-on practice with real-world data acquisition

  • Use of Python and R for scripting

• What You'll Achieve

  • Gain skills in data cleaning and modeling

  • Understand basic machine learning techniques

  • Apply knowledge to real-world tasks