In this 12-week, intensive course, students will take on real world problems by analyzing data sets for insights and present findings using statistics, programming, data modelling, and business knowledge.

Data Science Immersive (DSI) is designed to give students the deep dive into the world of Data Science, focusing on the ability to analyse, make sense of, convey data-driven facts from massive data sets, and predict what happens next through predictive modelling and pattern recognition. This course prepares students to take on full-time roles as Data Scientists, Data Analysts, or other roles that require advanced work with data. Students will also have the formal education on data science with the polished portfolio of work showcasing their ability to create machine-learned insights in a way that is palatable by key stakeholders.

Learning Outcome

By the end of the course, students will be able to:
  • Collect, extract, query, clean, and aggregate data for analysis
  • Perform visual and statistical analysis on data using Python and its associated libraries and tools
  • Build, implement, and evaluate data science problems using appropriate machine learning models and algorithms
  • Use appropriate data visualization tools to communicate findings
  • Create clear and reproducible reports to stakeholders
  • Identify big data problems and understand how distributed systems and parallel computing technologies are solving these challenges
  • Apply question, modeling, and validation problem-solving processes to datasets from various industries in order to provide insight into real-world problems and solutions

Who should Attend?

  • Aspiring Data Analysts / Data Scientists / Data Engineers
  • Course is open to career changers

Eligibility Criteria

  • Minimum 18 years old
  • Needs to go through GA's admissions process to be offered a place in the course
This course is supported under Tech Immersion and Placement Programme (TIPP)
Singapore Citizens qualified for this immersive training courses and placement programme, will be eligible for a subsidised course / programme fee.

Information is accurate as of 25 Sept 2018