How to study Data Science & Analytics — Semester VII, Pokhara University BECE
What it covers
Working with data: collection and cleaning, exploratory data analysis, visualization, statistical modelling, and using analytics to make data-driven decisions.
Topics worth extra time
- The data science process
- Data collection, cleaning and preprocessing
- Exploratory data analysis and visualisation
- Statistical modelling and machine learning for analytics
- Communicating results
How to study it
Take a public dataset and go end to end in Python with pandas: clean it, explore it, model it and present findings. Practise explaining your charts in plain words.
In the exam
Explain each step of the process with an example, and justify the choice of technique.