Basics of Matplotlib for Data Analysis & Data Science:Python
Basics of Matplotlib for Data Analysis & Data Science:Python, available at Free, has an average rating of 4.4, with 18 lectures, based on 47 reviews, and has 2863 subscribers.
You will learn about Learn about Essentials of matplotlib to create plots like Bar Charts, Line Charts, Scatter Plots, Histogram ,distribution plots , and more! How to customize matplotlib plots Learn basic functionality when & where to use matplotlib Learnbasic styling of matplotlib This course is ideal for individuals who are Any Python programmers who want to present their analyses using interactive visualisation It is particularly useful for Any Python programmers who want to present their analyses using interactive visualisation.
Enroll now: Basics of Matplotlib for Data Analysis & Data Science:Python
Summary
Title: Basics of Matplotlib for Data Analysis & Data Science:Python
Price: Free
Average Rating: 4.4
Number of Lectures: 18
Number of Published Lectures: 14
Number of Curriculum Items: 18
Number of Published Curriculum Objects: 14
Original Price: Free
Quality Status: approved
Status: Live
What You Will Learn
- Learn about Essentials of matplotlib to create plots like Bar Charts, Line Charts, Scatter Plots, Histogram ,distribution plots , and more!
- How to customize matplotlib plots
- Learn basic functionality when & where to use matplotlib
- Learnbasic styling of matplotlib
Who Should Attend
- Any Python programmers who want to present their analyses using interactive visualisation
Target Audiences
- Any Python programmers who want to present their analyses using interactive visualisation
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..
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Bar chart
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Line cart
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Pie chart
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Scatter plot
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Histogram
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Box plot
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Violin plot
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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.
Course Curriculum
Chapter 1: Welcome to this course
Lecture 1: Introduction & course benefits !
Lecture 2: Quick Summary of Jupyter Notebook
Lecture 3: Datasets & resources
Chapter 2: Python basics Data-structures
Lecture 1: Datasets & Resources
Lecture 2: In-built data-structures of Python
Chapter 3: Pandas Basics
Lecture 1: How to read data using Pandas
Lecture 2: Series in Pandas
Lecture 3: What is Dataframe ?
Chapter 4: Basics plots of Matplotlib
Lecture 1: Line , Bar & Pie chart
Lecture 2: Scatterplot & Histogram
Chapter 5: Styling in Matplotlib
Lecture 1: Change colour of plot & bins of Histogram
Lecture 2: How to set 'Title' & 'Label' of plots
Lecture 3: How to Customize size of Plots
Lecture 4: How to set limit on your axis..
Instructors
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Shan Singh
Top Rated & Best-Selling Udemy Instructor , Data Scientist
Rating Distribution
- 1 stars: 1 votes
- 2 stars: 2 votes
- 3 stars: 5 votes
- 4 stars: 17 votes
- 5 stars: 22 votes
Frequently Asked Questions
How long do I have access to the course materials?
You can view and review the lecture materials indefinitely, like an on-demand channel.
Can I take my courses with me wherever I go?
Definitely! If you have an internet connection, courses on Udemy are available on any device at any time. If you don’t have an internet connection, some instructors also let their students download course lectures. That’s up to the instructor though, so make sure you get on their good side!
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