DATA SCIENCE

Learn to work with real-world data, build visualizations, perform analysis, and present insights using Python-based data science workflows.

PROOF-OF-WORK TASKS
6 TASKS
B
Beginner
LEVEL 01
  • 01Choose 2: Matplotlib, Seaborn, Plotly, Bokeh, or Pandas visualization library documentation
  • 02Create a clear guide covering library overview, graph types, use cases, code examples, and comparison of features
I
Intermediate
LEVEL 02
  • 01Choose 1: Delhi AQI analysis or X/Twitter sentiment analysis
  • 02Analyze real-world data using research questions, statistical methods, visualizations, and meaningful insights
A
Advanced
LEVEL 03
  • 01Choose 1: cricket fielding analysis or Jupyter Notebook data analysis project
  • 02Collect or explore data, define research questions, clean the dataset, create visualizations, and present final findings