Basics of Matplotlib for Data Analysis & Data Science:Python, Learn basics of Matplotlib ,frequent used Matplotlib plots , styling in Matplotlib with the help of real-world use-cases.
Course Description
In this course, you will learn how to create interactive Visuals in python using the Matplotlibly data visualizations library
This course will teach your everything you need to know to use Python to create interactive visuals with Matplotlib. Have you ever wanted to take your Python skills to the next level in data visualization? With this course you will be able to create fully customization plots , interactive visuals with the open source libraries like Matplotlib
Data visualisation is very critical for generating and communicating easy to understand finding and insights. Either you are a Data Analyst who wants to create a dashboard/present your analysis or you are a Data Scientist who wants to create a UI for your machine learning models, Matplotlib can be a boon for both.
You will learn in this course many chart types..
- Bar chart
- Line cart
- Pie chart
- Scatter plot
- Histogram
- Box plot
- Violin plot
- Distribution (KDE) Plot
We’ll start off by teaching you enough Python and Pandas that you feel comfortable working and generating data Then we’ll continue by teaching you about basic data visualization with Matplotlib, including scatter plots, line charts, bar charts , box plots, histograms, distribution plots and many more ! We’ll also give you an intuition of when to use each plot type.
By taking this course you will be learning the bleeding edge of data visualization technology with Python and gain a valuable new skill to show your colleagues or potential employers.
