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

What you'll 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

Description

Description

This 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

Who this course is for

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
Homepage:

https://www.udemy.com/course/data-analysis-simulation-visualization-and-exploration/