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

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Data Analysis with Python

wakatime

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

Assignment 1 - Python Basics Practice

  • 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

Assignment 2 - Numpy Array Operations

  • 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

Resources

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

  • Jovian