What you'll 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
Requirements
No programming experience needed. You will learn everything you need to know.
Description
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 Data2. Data Visualization is Interactive3. Data Visualization Provides a Perspective on the Data4. Data Visualization Explains a Data Process5. Data Visualization Strokes the Imagination6. Data Visualization Tells a Data Story7. Data Visualization Puts the Data into the Correct Context8. Data Visualization is Educational for Users9. Data Visualization Saves Time10. Data Visualization Presents Data BeautifullyAll 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!
Overview
Section 1: Introduction
Lecture 1 Introduction
Section 2: Creating 3D Bar chart
Lecture 2 Creating 3D Bar Chart
Lecture 3 Codes
Section 3: Creating 3D Histogram
Lecture 4 Creating 3D Histogram
Lecture 5 Codes
Section 4: Creating 3D Contour Plots
Lecture 6 Creating 3D Contour Plots
Lecture 7 Codes
Section 5: Wireframes and Surface Plots
Lecture 8 Creating Wireframes and Surface Plots
Lecture 9 Codes
Section 6: Creating 3D Points and Lines
Lecture 10 Creating 3D Points and Lines
Lecture 11 Codes
Section 7: Surface Triangulations
Lecture 12 Surface Triangulations
Lecture 13 Codes
Section 8: Mobius strip
Lecture 14 Möbius strip
Lecture 15 Codes
Section 9: Creating 3D Scatter Plot
Lecture 16 Create 3D Scatter Plot using Matplotlib and Numpy
Lecture 17 Codes
Section 10: Creating 3D Line Graphs
Lecture 18 Create 3D Line Graphs using Numpy and Matplotlib library
Lecture 19 Codes
Section 11: Creating 3D Surface and Gradient Surface Plot
Lecture 20 How to Plot 3D Surface and Gradient Surface Graph
Lecture 21 Codes
Section 12: Creating 3D Wireframe Graph
Lecture 22 Plotting a Simple Wireframe Graph
Lecture 23 Creating Multiple Wireframe Graphs in the Same Plot
Lecture 24 Codes
Section 13: Draw Polar Scatter Plot
Lecture 25 Plotting Scatter Plot in Polar Coordinates
Lecture 26 Plotting Sine Function in the polar plot
Lecture 27 Plotting Scattered Tangent Function in a Polar Plot
Lecture 28 Plotting Scattered Logarithmic Graph in a Polar Plot
Lecture 29 Codes
Section 14: Draw a Polar Contour Plot in Matplotlib
Lecture 30 Plot a Polar Contour Plot
Lecture 31 Plot Multiple Contour Plot
Lecture 32 Plotting Polar Contour Plot of Fetching Dataset
Lecture 33 Codes
Section 15: Create Heatmaps using Python Folium
Lecture 34 Interesting Heatmaps using Folium
Lecture 35 Requirments
Lecture 36 Generate Heatmap
Lecture 37 Generate Heatmap with Time
Lecture 38 Codes
Developers,Students,Researchers,Managers


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