Data Visualization with matplotlib - Practical Course

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Visualization in Python with matplotlib

Visualization is one of the most common ways of representing data. By using different kinds of plots (like scatter-plot, histogram, bar charts, and so on) you can find some insights in your data, or approve/reject some assumption/hypothesis. In this course, you will be introduced to the matplotlib library, and learn how to build different charts.

Course

Gain insight into a topic and learn the fundamentals

4.7

(142)

Intermediate

Recommended experience

34 chapters

Flexible schedule

Learn at your own pace

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Outcomes

Learning outcomes

Modules

Testimonial

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What you will learn

Acquire proficiency in representing data through various plots, such as line charts, bar charts, and scatter plots.
Develop the ability to customize charts with legends, labels, titles and line styles.
Understand how to layer multiple data series within a single plot for in-depth analysis.
Explore techniques for effectively grouping and presenting data visually to convey information clearly.

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Assessments17 assignments

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There are 6 modules in this course

In this section, we will be introduced to the very basics of matplotlib - creating empty Figure and Axes, how to build a line plot, display multiple lines on one plot, add a legend, customize line type, and so on...

In this section, we will learn about other chart types, such as bar plots, histograms, box plots, how to set necessary parameters and customize them.

In this section, we will learn the scatter plots - one of the easiest ways to discover the relationships in your data.

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Why people choose Codefinity for their career

Kwizera Mugisha

The teaching methodology at Codefinity is excellent, and I particularly appreciate how it has prepared me to handle real-world coding problems. Currently, I am delving into Node.js and eagerly anticipate building full-stack projects that integrate all the knowledge I have gained.

Sherry Barnes-Fox

My first course was 4 hours, I did it in a few days, "nugget-style. The instructions are very clear and easy to understand. There is even a hint to help you get the answer, and if you still cannot get the answer, then you can display the answer. I love the learning style that is used, it engages me.

Bill Wagner

I have really liked the browser-based lessons that allow me to code within the lesson. The RUN button allows me to test the code I write before submitting for a grade.

Stephanie Chan

As I went through the first course of the Python track, I liked the way the course was lay out (in easy and digestible modules) with little exercises at the end of each concept.

Daniel Chinea

I have gained a lot of practical and logical thinking skills, along with patience for myself and confidence in myself that I can learn programming.

Steve Bruening

The learning was progressive and made it easy to follow along and make progress. I could feel my skills increasing and building on each other as the course went along.

Learner reviews

4.6

50 reviews

68%

28%

Showing 3 of 50 reviews

Jordan F.

Reviewed on Feb 4, 2024

A little messy but still a good lesson overall.

Colin Reineberg

Reviewed on Dec 5, 2023

Riccardo Clavenna

Reviewed on Sep 6, 2023

Mostly good. Some more details on some function would be better for a complete beginner. e.g. import numpy as np, why is needed, what is it...

Recommended if you're interested in learning Python

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