Overview

DescriptionThis is a complete and comprehensive course on Data Analysis, Simulation, Visualization and Exploration. It is hands-on course design to make you expert by solving projects and exercises by using Python's most important packages and libraries such NumPy, Pandas, Matplotlib and Seaborn.Course OutlineNumPy and Python RefresherIn this section of the course, we learn basic and fundamentals of python. If you don't know anything about the python, even then you do not need to worry about, this section will provide you all the fundamentals.Pandas ( Data Analysis )In this section we deep dive into Pandas to learn Pandas Series, Pandas Data Frames, groupby method, pivot table, conditional filtering with Pandas, Combining Data Frames and Other advanced data analysis techniquesMatplotlib ( Data Plotting and Visualization )We learn everything of Matplotlib from fundamental to advanced. We learn how to customize the figures and plots from 1D to 3D.Seaborn ( Data Visualization and Inference )In this section, we dive deep into Seaborn. It is the most important Visualization package for data visualization Inference. It provides the plots, charts and visualization in such manners that other than visualizing we can also infer the statistical information from the data such as the data distribution, mean, median, Interquartile range etc.Project ( Data and Visual Analytics )After learning Pandas, Matplotlib and Seaborn, now its time to do a project that require the knowledge from above three sections. In this section you will have to solve the project to get expertise in Data Analysis and Visualization.Montecarlo Simulations and VisualizationWe Perform Monte Carlo Simulation when we are not sure about the outcome of some process. In this section we perform several experiments of Montecarlo Simulations and then at the end you will solve exercise to solidify your conceptsTime Series Generation and VisualizationTime Series is a very important type of data with numerous practical applications. In this section you will learn how to create different types of time series data. At the end of this section, you will solve an exercise to get command on time series generation and visualizationImage Creation and VisualizationImage is another very import data type. This section is dedicated to make you understand how to create your own color and gray scale images. We will also learn how to draw lines, edges, corners, rings and circles on the images. We will also learn how to create our own custom image dataset. At the end of this section, you will solve an exercise to get the full understanding of image creation and visualization

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