Learn Data Visualization with Matplotlib
Learn Data Visualization with Matplotlib, available at Free, has an average rating of 3.65, with 12 lectures, based on 23 reviews, and has 1986 subscribers.
You will learn about Recall and describe the fundamental types of plots, such as line plots, scatter plots, bar charts, and histograms, that can be created using Matplotlib. Apply Matplotlib concepts to explore and analyze datasets visually, effectively using various types of plots to identify data patterns, trends, and outliers. Analyze complex data by creating multi-panel figures and subplots in Matplotlib, facilitating comparisons and presentations of data from different perspectives. Complete a data visualization project using Matplotlib. This course is ideal for individuals who are Learning interested in learning about data visualization using Python It is particularly useful for Learning interested in learning about data visualization using Python.
Enroll now: Learn Data Visualization with Matplotlib
Summary
Title: Learn Data Visualization with Matplotlib
Price: Free
Average Rating: 3.65
Number of Lectures: 12
Number of Published Lectures: 12
Number of Curriculum Items: 12
Number of Published Curriculum Objects: 12
Original Price: Free
Quality Status: approved
Status: Live
What You Will Learn
- Recall and describe the fundamental types of plots, such as line plots, scatter plots, bar charts, and histograms, that can be created using Matplotlib.
- Apply Matplotlib concepts to explore and analyze datasets visually, effectively using various types of plots to identify data patterns, trends, and outliers.
- Analyze complex data by creating multi-panel figures and subplots in Matplotlib, facilitating comparisons and presentations of data from different perspectives.
- Complete a data visualization project using Matplotlib.
Who Should Attend
- Learning interested in learning about data visualization using Python
Target Audiences
- Learning interested in learning about data visualization using Python
Are you eager to unlock the power of data visualization with Python? If so, our comprehensive Udemy course, “Mastering Data Visualization with Matplotlib,” is the perfect choice for you. In today’s data-driven world, effective data visualization is a crucial skill, enabling you to explore, analyze, and present data insights with clarity and impact.
Learning Outcomes:
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Recall and describe fundamental plot types: Our course begins by teaching you the fundamental types of plots that Matplotlib offers, such as line plots, scatter plots, bar charts, and histograms. You’ll not only learn to create these plots but also understand when and why to use each type for effective data representation.
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Apply Matplotlib concepts for data exploration: With the knowledge gained, you’ll delve into real-world datasets, using Matplotlib to visually explore and analyze data. You’ll discover how to identify patterns, trends, and outliers, ensuring you can make data-driven decisions with confidence.
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Analyze complex data with multi-panel figures: As your skills progress, you’ll master the art of creating multi-panel figures and subplots using Matplotlib. This capability allows you to compare and present data from different perspectives, making it a valuable asset for data analysis, presentations, and publications.
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Complete a data visualization project: By the end of this course, you will have the practical experience to tackle a comprehensive data visualization project using Matplotlib. This hands-on project will consolidate your skills and provide you with a strong portfolio piece to showcase your expertise.
Intended Audience:
This course is designed for learners who are keen to explore the realm of data visualization using Python. It caters to those interested in pursuing projects related to data visualization, data analysis, and even machine learning. Whether you are a data enthusiast, a student, a professional, or a business owner, this course will equip you with the skills you need to excel in the data-driven world.
Course Curriculum
Chapter 1: Introduction
Lecture 1: Introduction
Chapter 2: Learning Outcomes
Lecture 1: Learning Outcomes
Chapter 3: Overview
Lecture 1: Overview
Chapter 4: Prerequisites
Lecture 1: Prerequisites
Chapter 5: Basic Structure
Lecture 1: Basic Structure
Chapter 6: Pie Chart
Lecture 1: Pie Chart
Chapter 7: Bar Chart
Lecture 1: Bar Chart
Chapter 8: Histograms
Lecture 1: Histograms
Chapter 9: Line Chart
Lecture 1: Line Chart
Chapter 10: Scatter plot
Lecture 1: Scatter plot
Chapter 11: Box plot
Lecture 1: Box plot
Chapter 12: Next steps
Lecture 1: Next steps
Instructors
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Valentine Mwangi
Data Science Curriculum Designer
Rating Distribution
- 1 stars: 3 votes
- 2 stars: 0 votes
- 3 stars: 2 votes
- 4 stars: 9 votes
- 5 stars: 9 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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