Course Syllabus
Table of contents
- Course Introduction & Brief Introduction to Python
- Object Oriented Programming
- Numpy Basics
- Pandas I
- Pandas II
- Data Wrangling
- Matplotlib for Visualization
- Data Aggregation
- Machine Learning Basics
- Linear Regression and Classification
- Data Analysis with Pandas
This course is designed to learn data science using Python. The course covers topics including, Python setup and familiarization with the environment, writing basic programs in Python, Python development support data structures and libraries including Numpy, exploratory data analysis using libraries such as Pandas, predictive model design including regression analysis, decision tree and other prediction models, visualizations using Matplotlib, and implementation project to practice the concepts learned during the course.
The main topics covered in this course are: