Matplotlib, Seaborn, and Plotly Python Libraries Beginners

Matplotlib, Seaborn, and Plotly Python Libraries Beginners, available at $54.99, has an average rating of 4.5, with 25 lectures, 3 quizzes, based on 1 reviews, and has 6 subscribers.

You will learn about 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. This course is ideal for individuals who are Beginner Python developer. or Business and data analysts. or Those who want to learn and use Matplotlib, Seaborn, and Plotly libraries for Python. or Professionals aiming to enhance their skills in data visualization. It is particularly useful for Beginner Python developer. or Business and data analysts. or Those who want to learn and use Matplotlib, Seaborn, and Plotly libraries for Python. or Professionals aiming to enhance their skills in data visualization.

Enroll now: Matplotlib, Seaborn, and Plotly Python Libraries Beginners

Summary

Title: Matplotlib, Seaborn, and Plotly Python Libraries Beginners

Price: $54.99

Average Rating: 4.5

Number of Lectures: 25

Number of Quizzes: 3

Number of Published Lectures: 25

Number of Published Quizzes: 3

Number of Curriculum Items: 28

Number of Published Curriculum Objects: 28

Original Price: $99.99

Quality Status: approved

Status: Live

What You Will 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.

Who Should Attend

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.

Target Audiences

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.

**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:

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.

This course includes:

1. 1+ hours of video tutorials

2. 22 individual video lectures

3. Course and exercise filesto follow along

4. Certificate of completion

Course Curriculum

Chapter 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

Chapter 2: MatplotLib

Lecture 1: Preparing Our Data for Visualization

Lecture 2: Creating Line Charts in MatplotLib

Lecture 3: Customizing Line Chart in MatplotLib

Lecture 4: Multiple Line Charts in MatplotLib

Lecture 5: Bar Charts in MatplotLib

Lecture 6: Scatter Plots in MatplotLib

Lecture 7: MatplotLib Exercise Overview

Lecture 8: MatplotLib Exercise Solution

Chapter 3: Seaborn

Lecture 1: Line Charts in Seaborn

Lecture 2: Bar Charts in Seaborn

Lecture 3: Scatter Plots in Seaborn

Lecture 4: Seaborn Exercise Overview

Lecture 5: Seaborn Exercise Solution

Chapter 4: Plotly

Lecture 1: Line Charts in Plotly

Lecture 2: Multiple Line Charts in Plotly

Lecture 3: Bar Charts in Plotly

Lecture 4: Scatter Plots in Plotly

Lecture 5: Plotly Exercise Overview

Lecture 6: Plotly Exercise Solution

Chapter 5: Conclusion

Lecture 1: Conclusion

Instructors

Simon Sez IT
870,000+ Students, 260+ Courses, Learners in 180+ Countries

Rating Distribution

1 stars: 0 votes

2 stars: 0 votes

3 stars: 0 votes

4 stars: 1 votes

5 stars: 0 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!