- Jupyter Notebook
- Jupyter Labs
- Github
- Implementation of Algorithms
- Analysis and evaluation
- Deploying/ Serving the model
- Cleaning Data
- Data Manipulation
- Summarizing Data
- Forecasting and prediction using regression
- Linear Regression
- Logistic Regression
- Data and its various classifications: Continuous & Discrete, Structured vs Unstructured
- Mathematics for Data Science (Probability, Statistics, Linear Algebra, Gradient Descent, calculus)
- What is data science? Why is it important?
- Environmental Setup
- Python Basics
- Fundamentals of Python
- Python Data types
- Loops and Functions
- Numerical computing with Numpy
- Data manipulation using Pandas
