Introduction to Data Visualization with Python from Pluralsight

Data visualization is often the first step in any type of data analysis. This course will teach you several essential data visualization techniques, when to use them, and how to implement them with Python and Matplotlib.

At the core of data science and data analytics is a thorough knowledge of data visualization. In this course, Introduction to Data Visualization with Python, you'll learn how to use several essential data visualization techniques to answer real-world questions. First, you'll explore techniques including scatter plots. Next, you'll discover line charts and time series. Finally, you'll learn what to do when your data is too big. When you're finished with this course, you'll have a foundational knowledge of data visualization that will help you as you move forward to analyze your own data.

Data visualization is the representation of information in chart, diagram or picture form. Visualization helps to see big data broken down in visual forms to be interpreted by many.

In this course you will learn all about data visualization including:

data visualization techniques, when to use them and how to implement them using Python and Matplotlib

This is an intermediate course and requires some familiarity languages such as C++, Java, JavaScript, Ruby, Python, etc.

Whether you are a software developer who wants to learn how to visualize data or a data scientist who wants to implement data with Python or simply an IT professional who wants to learn more about Data analysis, this course is definitely for you.

What's inside

Syllabus

Course Overview

Course Introduction

Introduction to Jupyter, Pandas, and Matplotlib

Finding Distribution of Data with Histograms

Creating Time Series with Line Charts

Examining Relationships in Data with Scatter Plots

Comparing Data with Bar Graphs

What to Do When Your Data Is Too Big

Solving Real-world Problems with Visualization

Good to know

Know what's good

, what to watch for

, and possible dealbreakers

Explores data visualization, which is standard in software development and data science

Teaches techniques you can use with Python and Matplotlib, which helps learners build projects and solve real-world problems

Taught by YK Sugi, who are recognized for their work in data science and visualization

Examines data visualization in context of data analysis and big data, which is highly relevant to data scientists

Requires some familiarity languages such as C++, Java, JavaScript, Ruby, Python, etc., which will be helpful to learners who are already familiar with programming concepts

Activities

Be better prepared before your course. Deepen your understanding during and after it. Supplement your coursework and achieve mastery of the topics covered in Introduction to Data Visualization with Python with these activities:

Compile a list of resources on data visualization

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Create a comprehensive collection of resources to support your learning journey in data visualization.

Browse courses on Data Visualization

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Search for online resources
Organize the resources
Share your compilation with others

Organize course materials for future reference

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Organizing course materials will help you stay organized and retain information more effectively.

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Create a dedicated folder or notebook for course materials
Keep digital or physical copies of all lecture notes, assignments, and quizzes

Review Python fundamentals

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Reviewing Python fundamentals will strengthen your foundation for this course, which heavily relies on Python.

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Go through Python tutorials
Solve coding challenges

11 other activities

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Join a study group or online forum

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Engaging with peers in a study group or online forum can provide valuable insights and support, especially when discussing complex concepts.

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Find a study group or online forum related to data visualization
Participate in discussions and ask questions

Create a line chart in Matplotlib

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Learn the basics of creating line charts in Matplotlib.

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Find a tutorial on creating line charts in Matplotlib
Follow the tutorial
Create your own line chart

Explore Matplotlib tutorials and examples

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Matplotlib is the main library used in this course for data visualization. Exploring tutorials and examples will help you become familiar with its capabilities.

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Go through Matplotlib documentation
Follow along with online Matplotlib tutorials

Visualize data with histograms

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Familiarize yourself with histograms and practice visualizing data using them.

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Read about histograms
Find a dataset
Create a histogram
Interpret the histogram

Tutorial: Intro to Histogram

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Visualizing the distribution of a dataset is a common way to get a quick overview of the data, especially when examining continuous variables. This tutorial will introduce the histogram, which allows you to visualize these distributions.

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Find a tutorial on creating a histogram in Python using Matplotlib.
Follow the steps in the tutorial to create a histogram from a dataset you have.
Interpret the histogram to understand the distribution of the data.

Design a scatter plot for a real-world dataset

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Apply your knowledge of scatter plots to analyze and visualize a real-world dataset.

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Choose a dataset
Clean the data
Create a scatter plot
Analyze the scatter plot

Discuss data visualization techniques with peers

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Engage in peer discussions to exchange insights and enhance your understanding of data visualization techniques.

Browse courses on Data Visualization

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Find a study group or online forum
Participate in discussions
Share your own insights

Create various data visualizations

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Creating various data visualizations will enhance your hands-on skills and deepen your understanding of different visualization techniques.

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Visualize data using scatter plots
Create line charts to represent time series
Compare data using bar graphs

Attend a data visualization workshop

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Participate in a workshop to gain hands-on experience and enhance your data visualization skills.

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Find a workshop
Register for the workshop
Attend the workshop
Implement what you learned

Contribute to a data visualization project

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Contributing to an open source data visualization project provides real-world experience and exposure to best practices.

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Identify an open source data visualization project on platforms like GitHub
Review the project's documentation and codebase
Make meaningful contributions to the project

Develop a data visualization dashboard

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Creating a data visualization dashboard will challenge you to apply your skills and knowledge to a practical scenario.

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Define the purpose and audience of the dashboard
Gather and prepare the necessary data
Design and develop the dashboard using appropriate visualization techniques
Test and refine the dashboard based on feedback

Career center

Learners who complete Introduction to Data Visualization with Python will develop knowledge and skills that may be useful to these careers:

Data Visualization Analyst

Data Visualization Analysts help businesses understand complex data by creating visual representations of it. They use their skills in data analysis, data visualization, and communication to help businesses make better decisions. This course can help you develop the skills you need to become a successful Data Visualization Analyst. You will learn how to use Python and Matplotlib to create clear and concise data visualizations that can help businesses understand their data. You will also learn how to use data visualization techniques to answer real-world questions.

See salaries and explore the career path for Data Visualization Analyst

Data Scientist

Data Scientists use their skills in data analysis, machine learning, and statistics to help businesses make better decisions. They use data to identify trends, patterns, and insights that can help businesses improve their operations, products, and services. This course can help you develop the skills you need to become a successful Data Scientist. You will learn how to use Python and Matplotlib to create clear and concise data visualizations that can help you communicate your findings to business stakeholders.

See salaries and explore the career path for Data Scientist

Data Analyst

Data Analysts use their skills in data analysis, statistics, and programming to help businesses make better decisions. They use data to identify trends, patterns, and insights that can help businesses improve their operations, products, and services. This course can help you develop the skills you need to become a successful Data Analyst. You will learn how to use Python and Matplotlib to create clear and concise data visualizations that can help you communicate your findings to business stakeholders.

See salaries and explore the career path for Data Analyst

Business Intelligence Analyst

Business Intelligence Analysts use their skills in data analysis, business intelligence, and communication to help businesses make better decisions. They use data to identify trends, patterns, and insights that can help businesses improve their operations, products, and services. This course can help you develop the skills you need to become a successful Business Intelligence Analyst. You will learn how to use Python and Matplotlib to create clear and concise data visualizations that can help you communicate your findings to business stakeholders.

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Statistician

Statisticians use their skills in statistics, mathematics, and data analysis to help businesses make better decisions. They use data to identify trends, patterns, and insights that can help businesses improve their operations, products, and services. This course can help you develop the skills you need to become a successful Statistician. You will learn how to use Python and Matplotlib to create clear and concise data visualizations that can help you communicate your findings to business stakeholders.

See salaries and explore the career path for Statistician

Market Researcher

Market Researchers use their skills in market research, data analysis, and communication to help businesses make better decisions. They use data to identify trends, patterns, and insights that can help businesses improve their products, services, and marketing campaigns. This course can help you develop the skills you need to become a successful Market Researcher. You will learn how to use Python and Matplotlib to create clear and concise data visualizations that can help you communicate your findings to business stakeholders.

See salaries and explore the career path for Market Researcher

Financial Analyst

Financial Analysts use their skills in financial analysis, data analysis, and communication to help businesses make better decisions. They use data to identify trends, patterns, and insights that can help businesses improve their financial performance. This course can help you develop the skills you need to become a successful Financial Analyst. You will learn how to use Python and Matplotlib to create clear and concise data visualizations that can help you communicate your findings to business stakeholders.

See salaries and explore the career path for Financial Analyst

Operations Research Analyst

Operations Research Analysts use their skills in operations research, data analysis, and communication to help businesses make better decisions. They use data to identify trends, patterns, and insights that can help businesses improve their operations. This course can help you develop the skills you need to become a successful Operations Research Analyst. You will learn how to use Python and Matplotlib to create clear and concise data visualizations that can help you communicate your findings to business stakeholders.

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Data Engineer

Data Engineers use their skills in data engineering, data analysis, and programming to help businesses make better decisions. They use data to identify trends, patterns, and insights that can help businesses improve their operations, products, and services. This course can help you develop the skills you need to become a successful Data Engineer. You will learn how to use Python and Matplotlib to create clear and concise data visualizations that can help you communicate your findings to business stakeholders.

See salaries and explore the career path for Data Engineer

Software Engineer

Software Engineers use their skills in software engineering, data analysis, and programming to help businesses create and maintain software applications. This course can help you develop the skills you need to become a successful Software Engineer. You will learn how to use Python and Matplotlib to create clear and concise data visualizations that can help you communicate your findings to business stakeholders.

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Web Developer

Web Developers use their skills in web development, data analysis, and programming to help businesses create and maintain websites. This course can help you develop the skills you need to become a successful Web Developer. You will learn how to use Python and Matplotlib to create clear and concise data visualizations that can help you communicate your findings to business stakeholders.

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Database Administrator

Database Administrators use their skills in database administration, data analysis, and programming to help businesses create and maintain databases. This course can help you develop the skills you need to become a successful Database Administrator. You will learn how to use Python and Matplotlib to create clear and concise data visualizations that can help you communicate your findings to business stakeholders.

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Computer Scientist

Computer Scientists use their skills in computer science, data analysis, and programming to help businesses create and maintain computer systems. This course can help you develop the skills you need to become a successful Computer Scientist. You will learn how to use Python and Matplotlib to create clear and concise data visualizations that can help you communicate your findings to business stakeholders.

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Systems Analyst

Systems Analysts use their skills in systems analysis, data analysis, and programming to help businesses create and maintain computer systems. This course can help you develop the skills you need to become a successful Systems Analyst. You will learn how to use Python and Matplotlib to create clear and concise data visualizations that can help you communicate your findings to business stakeholders.

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Information Technology Specialist

Information Technology Specialists use their skills in information technology, data analysis, and programming to help businesses create and maintain computer systems. This course can help you develop the skills you need to become a successful Information Technology Specialist. You will learn how to use Python and Matplotlib to create clear and concise data visualizations that can help you communicate your findings to business stakeholders.

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