Matplotlib, Seaborn, And Plotly Python Libraries Beginners
Published 4/2024
MP4 | Video: h264, 1920x1080 | Audio: AAC, 44.1 KHz
Language: English
| Size: 440.50 MB[/center]
| Duration: 1h 10m
Master data visualization in Python with Matplotlib, Seaborn, and Plotly libraries for effective data storytelling.
What you'll learn
Prepare data for visualization using Matplotlib.
Create customized line charts with Matplotlib.
Generate multiple line charts for comparative analysis.
Construct bar charts to represent categorical data.
Develop scatter plots to explore relationships between variables.
Utilize Seaborn and Plotly libraries for diverse chart types.
Requirements
A fundamental understanding of basic Python syntax and data visualization concepts.
This course assumes no previous Matplotlib, Seaborn, or Plotly experience.
Description
**This course includes downloadable instructor and exercise files to work with and follow along.In this Matplotlib, Seaborn, and Plotly Python Libraries for Beginners course, you'll embark on a journey to master three essential tools for data visualization in Python.You'll start by learning Matplotlib, where you'll discover how to prepare your data and create various charts like line charts, bar charts, and scatter plots. Next, delve into Seaborn to refine your visualization skills with advanced chart techniques. Then, explore Plotly to create interactive and visually appealing charts that enhance your data storytelling capabilities.Throughout the course, you'll engage in hands-on exercises to reinforce your understanding of each library. Whether you're a beginner or looking to enhance your Python proficiency, this course provides the essential tools to excel in data visualization tasks.By the end of this course, you should be able to confidently navigate Matplotlib, Seaborn, and Plotly, equipped with the skills to transform raw data into compelling visuals. Gain proficiency in three powerful Python libraries, enhancing your data analysis skills and improving your ability to communicate insights effectively.By the end of this course, you will be able to
repare data for visualization using Matplotlib.Create customized line charts with Matplotlib.Generate multiple line charts for comparative analysis.Construct bar charts to represent categorical data.Develop scatter plots to explore relationships between variables.Utilize Seaborn and Plotly libraries for diverse chart types.This course includes:1+ hours of video tutorials22 individual video lecturesCourse and exercise files to follow alongCertificate of completion
Overview
Section 1: Introduction
Lecture 1 Introduction
Lecture 2 WATCH ME: Essential Information for a Successful Training Experience
Lecture 3 DOWNLOAD ME: Course Files
Lecture 4 DOWNLOAD ME: Exercise Files
Lecture 5 Introduction to our Development Environment
Section 2: MatplotLib
Lecture 6 Preparing Our Data for Visualization
Lecture 7 Creating Line Charts in MatplotLib
Lecture 8 Customizing Line Chart in MatplotLib
Lecture 9 Multiple Line Charts in MatplotLib
Lecture 10 Bar Charts in MatplotLib
Lecture 11 Scatter Plots in MatplotLib
Lecture 12 MatplotLib Exercise Overview
Lecture 13 MatplotLib Exercise Solution
Section 3: Seaborn
Lecture 14 Line Charts in Seaborn
Lecture 15 Bar Charts in Seaborn
Lecture 16 Scatter Plots in Seaborn
Lecture 17 Seaborn Exercise Overview
Lecture 18 Seaborn Exercise Solution
Section 4: Plotly
Lecture 19 Line Charts in Plotly
Lecture 20 Multiple Line Charts in Plotly
Lecture 21 Bar Charts in Plotly
Lecture 22 Scatter Plots in Plotly
Lecture 23 Plotly Exercise Overview
Lecture 24 Plotly Exercise Solution
Section 5: Conclusion
Lecture 25 Conclusion
Beginner Python developer.,Business and data analysts.,Those who want to learn and use Matplotlib, Seaborn, and Plotly libraries for Python.,Professionals aiming to enhance their skills in data visualization.
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