Data Visualization with Python and New Methods in Matplotlib
Data Visualization with Python and New Methods in Matplotlib, available at $49.99, has an average rating of 4.3, with 39 lectures, based on 87 reviews, and has 24401 subscribers.
You will learn about Designing and illustrating figures and plots in 3D Familiarity with Python libraries for data visualization Knowledge of new and practical diagrams to visualize data in different fields Create functions needed to draw plots professionally Familiarity with creating, collecting and preparing data for visualization This course is ideal for individuals who are Developers or Data Analysts or Data Scientists or Students or Researchers or Managers It is particularly useful for Developers or Data Analysts or Data Scientists or Students or Researchers or Managers.
Enroll now: Data Visualization with Python and New Methods in Matplotlib
Summary
Title: Data Visualization with Python and New Methods in Matplotlib
Price: $49.99
Average Rating: 4.3
Number of Lectures: 39
Number of Published Lectures: 39
Number of Curriculum Items: 39
Number of Published Curriculum Objects: 39
Original Price: $89.99
Quality Status: approved
Status: Live
What You Will Learn
- Designing and illustrating figures and plots in 3D
- Familiarity with Python libraries for data visualization
- Knowledge of new and practical diagrams to visualize data in different fields
- Create functions needed to draw plots professionally
- Familiarity with creating, collecting and preparing data for visualization
Who Should Attend
- Developers
- Data Analysts
- Data Scientists
- Students
- Researchers
- Managers
Target Audiences
- Developers
- Data Analysts
- Data Scientists
- Students
- Researchers
- Managers
Due to the importance of data visualization, there are many pieces of training on this subject that teach basic and preliminary data visualization. But in this course, we will teach you how to visualize your data in an advanced way in Python. In this course, we even teach 3D visualization so that you can specifically visualize your data and draw graphs using Python codes.
You can use this course to visualize your data for managers, scientific papers, work projects, university classes, personal websites, and even advertisements.
In today’s world, a lot of data is being generated on a daily basis. And sometimes to analyze this data for certain trends, and patterns may become difficult if the data is in its raw format. To overcome this data visualization comes into play. Data visualization provides a good, organized pictorial representation of the data which makes it easier to understand, observe, and analyze. In this course, we will discuss how to advanced visualize data using Python.
This is just one demonstration of the usefulness of data visualization that makes it so popular in data science. Let’s see some more reasons why data visualization is so important:
1. Data Visualization Discovers the Trends in Data
2. Data Visualization is Interactive
3. Data Visualization Provides a Perspective on the Data
4. Data Visualization Explains a Data Process
5. Data Visualization Strokes the Imagination
6. Data Visualization Tells a Data Story
7. Data Visualization Puts the Data into the Correct Context
8. Data Visualization is Educational for Users
9. Data Visualization Saves Time
10. Data Visualization Presents Data Beautifully
All of these reasons demonstrate the importance of data visualization in data science. Basically, it is a much more user-friendly method to understand the data and also demonstrates the trends and patterns in the data to other people. And it doesn’t hurt that data visualization is beautiful to look at and so more appealing to people than rows of boring data!
Course Curriculum
Chapter 1: Introduction
Lecture 1: Introduction
Chapter 2: Creating 3D Bar chart
Lecture 1: Creating 3D Bar Chart
Lecture 2: Codes
Chapter 3: Creating 3D Histogram
Lecture 1: Creating 3D Histogram
Lecture 2: Codes
Chapter 4: Creating 3D Contour Plots
Lecture 1: Creating 3D Contour Plots
Lecture 2: Codes
Chapter 5: Wireframes and Surface Plots
Lecture 1: Creating Wireframes and Surface Plots
Lecture 2: Codes
Chapter 6: Creating 3D Points and Lines
Lecture 1: Creating 3D Points and Lines
Lecture 2: Codes
Chapter 7: Surface Triangulations
Lecture 1: Surface Triangulations
Lecture 2: Codes
Chapter 8: Mobius strip
Lecture 1: Möbius strip
Lecture 2: Codes
Chapter 9: Creating 3D Scatter Plot
Lecture 1: Create 3D Scatter Plot using Matplotlib and Numpy
Lecture 2: Codes
Chapter 10: Creating 3D Line Graphs
Lecture 1: Create 3D Line Graphs using Numpy and Matplotlib library
Lecture 2: Codes
Chapter 11: Creating 3D Surface and Gradient Surface Plot
Lecture 1: How to Plot 3D Surface and Gradient Surface Graph
Lecture 2: Codes
Chapter 12: Creating 3D Wireframe Graph
Lecture 1: Plotting a Simple Wireframe Graph
Lecture 2: Creating Multiple Wireframe Graphs in the Same Plot
Lecture 3: Codes
Chapter 13: Draw Polar Scatter Plot
Lecture 1: Plotting Scatter Plot in Polar Coordinates
Lecture 2: Plotting Sine Function in the polar plot
Lecture 3: Plotting Scattered Tangent Function in a Polar Plot
Lecture 4: Plotting Scattered Logarithmic Graph in a Polar Plot
Lecture 5: Codes
Chapter 14: Draw a Polar Contour Plot in Matplotlib
Lecture 1: Plot a Polar Contour Plot
Lecture 2: Plot Multiple Contour Plot
Lecture 3: Plotting Polar Contour Plot of Fetching Dataset
Lecture 4: Codes
Chapter 15: Create Heatmaps using Python Folium
Lecture 1: Interesting Heatmaps using Folium
Lecture 2: Requirments
Lecture 3: Generate Heatmap
Lecture 4: Generate Heatmap with Time
Lecture 5: Codes
Lecture 6: The End
Instructors
-
S. Emadedin Hashemi
AI Expert and Data Scientist
Rating Distribution
- 1 stars: 3 votes
- 2 stars: 2 votes
- 3 stars: 8 votes
- 4 stars: 20 votes
- 5 stars: 54 votes
Frequently Asked Questions
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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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