Who is this course for?

This course is ideal for anyone interested in learning data visualization, whether you are a beginner or looking to expand your skills. It's perfect for data analysts, business analysts, data scientists, or anyone who wants to gain expertise in visualizing and presenting data effectively to inform decision-making.

How long does it take to complete the course?

The course consists of approximately 2 hours of video content. Depending on your pace and practice time, you can expect to complete it in a few days. However, you can revisit the material as needed to solidify your understanding.

Can I preview a course before enrolling?

Yes, you can preview the first video and view the syllabus before you enroll. You must purchase the course to access content not included in the preview.

When will I have access to the lectures and assignments?

If you decide to enroll in the course before the session start date, you will have access to all of the lecture videos and readings for the course. You’ll be able to submit assignments once the session starts.

What will I get when I enroll?

Once you enroll and your session begins, you will have access to all videos and other resources, including reading items and the course discussion forum. You’ll be able to view and submit practice assessments, and complete required graded assignments to earn a grade and a Course Certificate.

When will I receive my Course Certificate?

If you complete the course successfully, your electronic Course Certificate will be added to your Accomplishments page - from there, you can print your Course Certificate or add it to your LinkedIn profile.

Why can’t I audit this course?

This course is currently available only to learners who have paid or received financial aid, when available.

Is financial aid available?

Yes. In select learning programs, you can apply for financial aid or a scholarship if you can’t afford the enrollment fee. If fin aid or scholarship is available for your learning program selection, you’ll find a link to apply on the description page.

Data Visualization in Tableau & Python (2 Courses in 1)

Data Visualization in Tableau & Python (2 Courses in 1)

Instructor: Packt - Course Instructors

Included with Coursera Plus

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6 modules

Gain insight into a topic and learn the fundamentals.

Intermediate level

Recommended experience

5 hours to complete

Flexible schedule

Learn at your own pace

6 modules

Gain insight into a topic and learn the fundamentals.

Intermediate level

Recommended experience

5 hours to complete

Flexible schedule

Learn at your own pace

What you'll learn

Create interactive dashboards and visualizations in Tableau.
Build sophisticated data visualizations using Matplotlib and Seaborn in Python.
Master various chart types, from bar graphs to 3D plots and heatmaps.
Understand data granularity and aggregation for deeper insights.

Skills you'll gain

Details to know

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There are 6 modules in this course

This course features Coursera Coach!

A smarter way to learn with interactive, real-time conversations that help you test your knowledge, challenge assumptions, and deepen your understanding as you progress through the course. In this comprehensive course, you’ll master the art of data visualization using both Tableau and Python. Whether you are a beginner or looking to expand your skills, you will learn to create powerful visualizations that help communicate complex data insights effectively. From fundamental concepts to advanced techniques, you will discover how to use different visualization tools to enhance your data storytelling capabilities. You will first dive into Tableau, where you’ll learn to set up your environment, connect to data sources, and create various types of visualizations, including bar charts, line graphs, pie charts, scatter plots, heat maps, and more. You’ll also explore interactive features like dashboards to display data dynamically, engaging viewers in insightful ways. Next, you will shift focus to Python’s data visualization libraries: Matplotlib and Seaborn. You will learn how to create static and interactive visualizations, including 3D plots, histograms, and violin plots, while mastering techniques to customize and refine your graphics for a clearer representation of your data. This course is ideal for anyone looking to enhance their data visualization skills. Whether you’re a beginner or an intermediate learner, this course offers practical knowledge that can be applied in real-world data analysis projects. The only prerequisite is a basic understanding of data handling. By the end of the course, you will be able to create and present compelling data visualizations using both Tableau and Python. You’ll gain proficiency in connecting to different data sources, visualizing data with a variety of charts, and constructing interactive dashboards. Whether for business insights or research analysis, you’ll be able to communicate your findings with confidence.

In this module, we will introduce you to the concept of data visualization. You’ll learn its importance, various techniques, and how data visualization is applied to simplify and communicate complex data for effective decision-making.

What's included

1 video1 reading

In this module, we will cover the foundational aspects of Tableau, from installation to connecting various data sources. You will also learn how to create and format basic visualizations to get started with your data analysis journey.

What's included

5 videos1 assignment1 plugin

5 videosTotal 16 minutes

Getting Started with Tableau Software3 minutes
Connecting to Data Sources (Downloadable Text File)3 minutes
Connecting to Data Sources (Downloadable EXCEL File)2 minutes
Creating Basic Visualizations in Tableau5 minutes
Formatting Sheets in Tableau2 minutes

1 assignmentTotal 15 minutes

Tableau Fundamentals - Assessment15 minutes

1 pluginTotal 15 minutes

Connecting and Cleaning Data in Tableau Desktop15 minutes

In this module, we will dive into creating interactive visualizations using Tableau. You’ll learn how to join data, choose the right chart types, and create dashboards and maps that allow for deeper insights into your data.

What's included

12 videos1 assignment1 plugin

12 videosTotal 46 minutes

Joining Two Tables and Creating Bar Chart (Downloadable Excel Data Set)3 minutes
Creating Different Types of Bar Charts5 minutes
Creating Line Chart4 minutes
Creating Area Chart4 minutes
Creating Circle Views and Side-by-Side Circles4 minutes
Creating Scatter Plots4 minutes
Creating Pie Chart5 minutes
Creating Histogram2 minutes
Creating Text Tables and Highlight Tables0 minutes
Creating Maps3 minutes
Creating Heat Maps3 minutes
Granularity and Aggregation4 minutes

1 assignmentTotal 15 minutes

Designing Interactive Visualizations with Tableau - Assessment15 minutes

1 pluginTotal 15 minutes

Visualizing Data in Tableau: Bars, Lines, Areas & More15 minutes

In this module, we will guide you through a hands-on project to build an interactive dashboard using Olympic athletes' data. This will help you apply the concepts learned in previous modules and see how Tableau can bring real-world data to life.

What's included

1 video1 assignment1 plugin

In this module, we will introduce Matplotlib, a powerful Python library for data visualization. You will learn how to create various charts and graphs, from simple line charts to more complex 3D visualizations, all using Python.

What's included

8 videos1 assignment1 plugin

8 videosTotal 18 minutes

Introduction to Matplotlib2 minutes
Creating Line Graph5 minutes
Creating Bar Graph2 minutes
Creating Scatter Graph1 minute
Creating Histogram Graph2 minutes
Creating Pie Chart2 minutes
Creating 3D Plot1 minute
Creating 3D Line Graph0 minutes

1 assignmentTotal 15 minutes

Data Visualization Using Matplotlib in Python - Assessment15 minutes

1 pluginTotal 15 minutes

Exploring Data Visualization with Matplotlib in Python15 minutes

In this module, we will focus on Seaborn, a Python library built on Matplotlib, to create compelling statistical visualizations. You will learn to create diverse plots such as violin plots and heatmaps, enhancing your ability to analyze and present data effectively.

What's included

6 videos3 assignments

Instructor

Packt - Course Instructors

Packt

986 Courses238,111 learners

Offered by

Packt

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Frequently asked questions

Data visualization is the process of creating graphical representations of data to help communicate insights effectively. In this course, you'll learn to use Tableau for interactive data visualizations and Python libraries like Matplotlib and Seaborn for creating detailed statistical plots. This skill is highly relevant because data-driven decision-making is crucial in today's world, and effective visualizations help in making complex data understandable for various stakeholders.

This course provides a comprehensive introduction to data visualization techniques using both Tableau and Python. It covers the essentials of using Tableau to create interactive charts, dashboards, and maps, alongside Python libraries like Matplotlib and Seaborn to produce statistical graphs such as line graphs, scatter plots, histograms, and more. The course is designed to give you practical knowledge on how to visualize data and communicate insights effectively using two powerful tools.

After completing this course, you will be able to create a wide range of interactive and static data visualizations. You will know how to use Tableau to design dashboards, maps, and different chart types. Additionally, you'll have hands-on experience with Python libraries such as Matplotlib and Seaborn to visualize data trends, distributions, and relationships in your datasets. You'll be able to communicate complex data insights clearly through effective visualizations.

No prior experience with Tableau, Matplotlib, or Seaborn is required. Basic knowledge of data analysis and familiarity with working with datasets will be helpful, but this course is suitable for beginners. If you are new to data visualization or programming, the course will guide you step-by-step through the necessary concepts and techniques.