What You Will Learn
- Data Manipulation
- Data Visualization
- Statistical Analysis
- Machine Learning Basics
Duration
8 weeks
Level
Beginner To Intermediate
Introduction to Data Science
- Understanding data science workflow
- Installing required Libraries
- Application of Data Science
Numpy and Pandas
- Arrays, indexing, operations
- Understanding Dataframe and its operation
- Data cleaning and handling missing values
Data Visualization and Statistical Analysis
- Creating plots with Matplotlib
- Data Distribution
- Exploratory Data Analysis
- Feature Engineering
- hypothesis Testing
Introduction to Machine Learning
- Basics of ML
- Supervised vs Unsupervised learning
- Regression vs Classification
Capstone Project
- End-to-end data science project from data collection to model deployment