This repository contains the archive of code for the data analysis with python

• First steps with Python & Jupyter notebooks
• Arithmetic, conditional & logical operators in Python
• Quick tour with Variables and common data types

• Branching with if, elif, and else
• Iteration with while and for loops
• Write reusable code with Functions
• Scope of variables and exceptions

• Deadline: Tue Dec 06, 11:30 PM
• Solve word problems using variables & arithmetic operations
• Manipulate data types using methods & operators
• Use branching and iterations to translate ideas into code
• Explore the documentation and get help from the community

• Gettting the current working directory
• Creating a directory
• Reading File

• Going from Python lists to Numpy arrays
• Working with multi-dimensional arrays
• Array operations, slicing and broadcasting
• Working with CSV data files

• Deadline: Tue Dec 13, 11:30 PM
• Explore the Numpy documentation website
• Demonstrate usage 5 numpy array operations
• Publish a Jupyter notebook with explanations
• Share your work with the course community

• Reading and writing CSV data with Pandas
• Querying, filtering and sorting data frames
• Grouping and aggregation for data summarization
• Merging and joining data from multiple sources

• Deadline: Tue Dec 20, 11:30 PM
• Create data frames from CSV files
• Query and index operations on data frames
• Group, merge and aggregate data frames
• Fix missing and invalid values in data

• Basic visualizations with Matplotlib
• Advanced visualizations with Seaborn
• Tips for customizing and styling charts
• Plotting images and grids of charts

• Finding a good real-world dataset for EDA
• Data loading, cleaning and preprocessing
• Exploratory analysis and visualization
• Answering questions and making inferences

• Assignment 1 - Python Basics Practice
• Assignment 2 - Numpy Array Operations
• Assignment 3 - Pandas Practice

• Data Analysis with Python Course - Numpy, Pandas, Data Visualization - YouTube

• Jovian