Data Exploration | Data Analysis | Data Visualization

A deep dive in data analysis, simulation and visualization for Data Science, Machine Learning and Business Students

Created by: Zeeshan Ahmad
Machine Learning and Statistical Signal Processing

What Will I Learn?

• Masters Python Data Types and Numpy
• A deep dive in Pandas library for learning Data Analysis techniques
• Masters Matplotlib, most powerful Python library for data plotting and visualization
• Learn advanced customization like subplots, styling, and object oriented programming with Matplotlib
• A deep dive in Seaborn, a library for Data Visualization and Inference.
• Learn Scatterplots, Categorical Plot, Distribution Plots, Comparison plots, Seaborn Grids, Pie plots Matrix plots,
• Learn Data and Visual Analytics by completing a project
• Monte Carlo Simulations and Visualization with lots of Experiments and Exercises
• Learn to Create and Visualize different time series data such as impulse , square, triangular , sinusoidal , and synthetic time series to mimic real world data.
• Learn to create images and draw different shapes on images such as lines, edges, corners, rings, circles
• Learn how to create your own custom image dataset

Requirements

• High school mathematics is recommended but not necessary

Target audience

• Data Scientists who want to learn data analysis and visualization tools
• Any one who wants to learn how to simulate and visualize data
• Anyone who wants to improve Python Programming skills
• Engineers
• Statisticians
• Computer Scientists
• Business Analysts