📚 Syllabus & Course Curriculum
Data Science & Analytics
Module-by-module breakdown of Summer/Winter Training & Project Work, from foundations to a certified capstone project.
Scoping
• Narrowing a topic into a question answerable in the available weeks
• Feasibility check against data, equipment and skill actually available
• Defining the deliverable and success criteria before starting
Background
• Systematic literature searching and organising sources with a reference manager
• Reading critically: method and limitations before conclusions
• Identifying the genuine gap rather than restating a textbook
Method
• Experimental or analytical design with controls and comparison built in
• Sample size, replication and the statistics decided before data collection
• Recording protocol, versions and parameters as the work proceeds
Execution
• Laboratory notebook or repository discipline that a supervisor can follow
• Troubleshooting when the method fails, which it usually does first
• Handling a negative result as a finding rather than a failure
Output
• Report structure, figures that stand alone and honest limitations
• Presenting to a technical audience and defending method choices
• Turning the project into a portfolio item, poster or manuscript
Earn government-registered certification in Summer/Winter Training & Project Work
e-Certificate and e-Marksheet issued on successful completion.
