The Material is designed for a learning camp at TinkerHub Foundation on Data Analysis using Python.
- Python Basics
- We need the students to have a prior knowledge of Python at least an intermediate level.
- For refreshing and brushing up your Python skills we’ll be sharing few resources before the session starts.
- Basic experience with Google colab (optional) / Jupyter notebook or any other Python IDE for coding during the session and for submitting assignment.
Lesson 1 (First Session)
- Numerical Computing with Numpy
- This will be the first session for our learning series where in we will discuss and learn basics of numpy and its implementation
- We can send resources and assignment after this session
Lesson 2 (Second Session)
- Analyzing Tabular Data with Pandas
- This will be the second session for our learning series where in we will discuss and learn basics of pandas and its implementation
- We can send resources and assignment after this session
Lesson 3 (Third Session)
- Data Cleaning and Preprocessing
- This will be the third session for our learning series where in we will discuss and implement data cleaning and preprocessing on several dataset
- We can send resources and assignment after this session
Lesson 4 (Fourth Session)
- Visualization with Matplotlib and Seaborn
- This will be the third session for our learning series where in we will discuss and learn basics of Matplotlib and Seaborn and its implementation
- We can send resources and assignment after this session
Lesson 5(Fifth Session) Course Project - Exploratory Data Analysis
- This will be the fifth session for our learning series where in we will use an dataset and show a data analysis implementation on it
- We can send resources and course project will be given after this session