Course outline for week 1
- Brainstorming on data science
- Brainstorming on Problems
- Brainstorming on big Data
- Brainstorming on domains of data science
- Problem solving approaches in Data Science
- Research type and research helping links (Official links)
(Medium,
GitHub)
- Domains and types of AI
- Tools in Data Science
- Types of Tools in Data Science
- Data Mining
- Gathering Data (links, websites)
Course outline for week 2
- Introduction to colab
- Introduction to Jupyter notebook (Jupyter env)
- Introduction to python
- Libraries in Python
- Numpy
- Pandas
- Lists
- Keras
- Tensors
Course outline for week 3
Course outline for week 4
- Labs on Data Visualization, labs
Course outline for week 5
- Data science problem solving approaches map (Diagram)
- Mini project on classification (Discrete)
- Domain on Classification (Finance)
Course outline for week 6
- Data science problem solving approaches map (Diagram)
- Mini project on classification (continuous)
- Domain on regression (time series)
Course outline for week 7
- Deep Learning
- Data science problem solving approaches map (Diagram)
- Mini project on clustering (continuous)
- Domain on clustering (Medical)
Course outline for week 8
- Getting ready for the project
- Gathering data
- Collecting and generating data
Course outline for week 9 - 10
- MAJOR PROJECT ON BI DASHBOARD