pythonDataScience_Workshop

To trace the flight path of aircraft

3 Days Data-Science & Analytics Workshop

In the workshop organized and conducted by CODERS READY, we explored the power of mapping and data visualization using Python. Over the course of three days, we engaged in hands-on projects that allowed us to gain valuable insights into data representation and analysis.

Key Topics Covered

Day 1: Advanced Mapping with Cartopy

• Introduction to Basemap: We started by learning about the library, a powerful tool for working with geospatial data.
• Mapping major Airports: We learned how to geo-reference major airport cities on a map and visualize it using Basemap.

Day 2: Advanced Visualization and Mapping

• Animating Visualization on maps: We learnt to animate aircraft marker from its flight from New Delhi to London. Used Daylight night shades on the map and creating wonderful visualization maps.

Day 3: Data Generation and Gaussian Noise for Visualizing Earth's Elliptical Orbit and Curve fitting for Distribution and project showcasing and portfolio development.

• Generating Random Data Points: we were taught how to generate random data points using Python.
• Adding Gaussian Noise: We added Gaussian noise to the generated data, simulating real-world data with imperfections.
• Visualizing Earth's Orbit: In a fascinating project, we visualized a makeshift walking orbital path of Earth's elliptical orbit around the Sun.
• Fitting with Elliptical Distribution: We fitted the orbital data with an elliptical distribution, demonstrating the versatility of this statistical tool and providing insights into data modeling.
• Portfolio Development & project showcasing: We also learnt, how to display our projects on various social media platforms.and initiate our portfolio.

Libraries and Tools Used

• NumPy: Essential for numerical operations and data manipulation.
• SciPy: Used for scientific and technical computing, including statistical analysis.
• Basemap: A library for cartographic projections and geospatial data visualization.
• Matplotlib: The go-to library for creating static, animated, and interactive visualizations in Python.
• Google Colab Notebooks: An interactive environment that allowed students to work on projects and visualize results step by step.