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Data Visualization using Matplotlib & Plotly(Python Library)

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Data Visualization using Matplotlib & Plotly(Python Library), available at $19.99, has an average rating of 3.5, with 22 lectures, 2 quizzes, based on 32 reviews, and has 9036 subscribers.

You will learn about Data Visualization using Matplotlib Data Visualization using Plotly Plotting Histogram, Bargraph, Scatter Plot, Boxplot, Pie Chart , Box plot, Violin Plot and many More Plotting 3D Graphs and Chart using Plotly Plotting Graphs and Charts by importing data This course is ideal for individuals who are Students , Teachers, Professional who want to use Data Visualization tools for taking decisions or Students , Teachers, Professional who want to go for Data Science , Machine Learning , Data Analysis and Data Visualization It is particularly useful for Students , Teachers, Professional who want to use Data Visualization tools for taking decisions or Students , Teachers, Professional who want to go for Data Science , Machine Learning , Data Analysis and Data Visualization.

Enroll now: Data Visualization using Matplotlib & Plotly(Python Library)

Summary

Title: Data Visualization using Matplotlib & Plotly(Python Library)

Price: $19.99

Average Rating: 3.5

Number of Lectures: 22

Number of Quizzes: 2

Number of Published Lectures: 22

Number of Published Quizzes: 2

Number of Curriculum Items: 24

Number of Published Curriculum Objects: 24

Original Price: ₹4,099

Quality Status: approved

Status: Live

What You Will Learn

  • Data Visualization using Matplotlib
  • Data Visualization using Plotly
  • Plotting Histogram, Bargraph, Scatter Plot, Boxplot, Pie Chart , Box plot, Violin Plot and many More
  • Plotting 3D Graphs and Chart using Plotly
  • Plotting Graphs and Charts by importing data

Who Should Attend

  • Students , Teachers, Professional who want to use Data Visualization tools for taking decisions
  • Students , Teachers, Professional who want to go for Data Science , Machine Learning , Data Analysis and Data Visualization

Target Audiences

  • Students , Teachers, Professional who want to use Data Visualization tools for taking decisions
  • Students , Teachers, Professional who want to go for Data Science , Machine Learning , Data Analysis and Data Visualization

Currently, Data Visualizations is a very important tool that deals with the graphical representation of the data. It is a very effective way of communication in decision making, advertisement, data analysis, Machine Learning and Data Science. And some of the python libraries like matplotlib and plotly are very popular for data visualization. Also, it is very important to get the knowledge that, what kind of graphs or charts we use to represent the data. After completing this course, you can able to design different types of graphs and charts very easily.

Important Feature of this course is as follows:

  1. Here we cover 2D as well as 3D Graphs and Charts.

  2. This course can be done by Business and Managements people also

  3. Every topic is covered practically.

  4. Explained in very easy language.

  5. Non-Programming background can also understand easily.

  6. Each Graph and Chart is demonstrated in a simple way so that you can do the same by watching videos.

Topics Covered in Matplotlib:

1. Importance of Data Visualization

2. Type of Data Visualization

3. Concepts of matplotlib Library

4. Line Plotting

5. Histogram

6. Bar Plot

7. Scatter Plot

8. Pie Chart

9. Box Plot

10. Area Chart

11. Violene Chart

Topics Covered in Plotly :

  1. Setup the environment for plotly

  2. Line Plotting (2D and 3D)

  3. Histogram

  4. Bar Plot

  5. Scatter Plot

  6. Pie Chart

  7. Box Plot

  8. Area Chart

  9. Violene Chart

Course Curriculum

Chapter 1: Environment setup for Data Visualization

Lecture 1: Download and Install Anaconda for Jupyter Notebook

Lecture 2: Working with Google Colab

Chapter 2: Introduction to Matplotlib and Plotly

Lecture 1: Introduction to Matplotlib

Lecture 2: Introduction to Plotly

Lecture 3: Importance of Data Visualization

Lecture 4: Type of Data Visualization

Chapter 3: Data Visualization Using Matplotlib

Lecture 1: Concepts of matplotlib Library

Lecture 2: Line Plotting

Lecture 3: Histogram

Lecture 4: Bar Plotting

Lecture 5: Scatter Plot

Lecture 6: Pie Chart

Lecture 7: Box Plot

Lecture 8: Area Chart

Lecture 9: Stem Plot

Lecture 10: Step Plot

Lecture 11: Errorbar plot

Chapter 4: Data Visualization Using Plotly (2D Grpahs or Charts)

Lecture 1: Line Chart

Lecture 2: Histogram

Lecture 3: Bar Chart

Lecture 4: Scatter Plot

Lecture 5: Pie Chart

Instructors

Rating Distribution

  • 1 stars: 2 votes
  • 2 stars: 2 votes
  • 3 stars: 6 votes
  • 4 stars: 12 votes
  • 5 stars: 10 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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