Data Science - June 2019

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Course Objectives

• Learn how to apply the scientific method to
  • Ask the right questions
  • Obtain and clean up data
  • Explore and analyze data
  • Make the correct conclusions
• Learn how to create evidence-based, reproducible research
• Learn how to create a complete solution

Course curriculum

• Data acquisition
• Data tidying and cleaning
• Data visualization. Exploratory data analysis
• Case studies, part 1: Images and text
• Case studies, part 2: Spatial data and networks
• Modelling basics: regression models
• Best practices in software and science
• Exam preparation: end-to-end project

Course structure

• 8 lectures x 4 hours each on-site
• Quiz – 0.25-0.5 hours
• Lab – 1-6 hours