VOOZH about

URL: https://www.coursera.org/learn/packt-data-visualization-in-tableau-python-2-courses-in-1-dbmlt

⇱ Data Visualization in Tableau & Python (2 Courses in 1) | Coursera

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

Keep adding new skills with 10,000+ programs for $239 (usually $399). Save now.

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

Included with

Ask Coursera

Gain insight into a topic and learn the fundamentals.
Intermediate level

Recommended experience

5 hours to complete
Flexible schedule
Learn at your own pace
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.

Details to know

Shareable certificate

Add to your LinkedIn profile

Assessments

7 assignments

Taught in English

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

1 video•Total 2 minutes
  • Introduction to Data Visualization•2 minutes
1 reading•Total 10 minutes
  • Full Course Resources•10 minutes

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 assignment

5 videos•Total 17 minutes
  • Getting Started with Tableau Software•4 minutes
  • Connecting to Data Sources (Downloadable Text File)•3 minutes
  • Connecting to Data Sources (Downloadable EXCEL File)•2 minutes
  • Creating Basic Visualizations in Tableau•5 minutes
  • Formatting Sheets in Tableau•2 minutes
1 assignment•Total 15 minutes
  • Tableau Fundamentals - Assessment•15 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 assignment

12 videos•Total 47 minutes
  • Joining Two Tables and Creating Bar Chart (Downloadable Excel Data Set)•3 minutes
  • Creating Different Types of Bar Charts•5 minutes
  • Creating Line Chart•4 minutes
  • Creating Area Chart•4 minutes
  • Creating Circle Views and Side-by-Side Circles•5 minutes
  • Creating Scatter Plots•5 minutes
  • Creating Pie Chart•5 minutes
  • Creating Histogram•2 minutes
  • Creating Text Tables and Highlight Tables•1 minute
  • Creating Maps•3 minutes
  • Creating Heat Maps•3 minutes
  • Granularity and Aggregation•5 minutes
1 assignment•Total 15 minutes
  • Designing Interactive Visualizations with Tableau - Assessment•15 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 assignment

1 video•Total 22 minutes
  • Creating Dashboards with Tableau Using Olympic Athletes Data Set•22 minutes
1 assignment•Total 15 minutes
  • Project Based Learning to Create Interactive Dashboards in Tableau - Assessment•15 minutes

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 assignment

8 videos•Total 18 minutes
  • Introduction to Matplotlib•3 minutes
  • Creating Line Graph•6 minutes
  • Creating Bar Graph•2 minutes
  • Creating Scatter Graph•1 minute
  • Creating Histogram Graph•2 minutes
  • Creating Pie Chart•2 minutes
  • Creating 3D Plot•1 minute
  • Creating 3D Line Graph•1 minute
1 assignment•Total 15 minutes
  • Data Visualization Using Matplotlib in Python - Assessment•15 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

6 videos•Total 18 minutes
  • Introduction to Seaborn•3 minutes
  • Understanding Data Set•3 minutes
  • Creating Swarm Plot•4 minutes
  • Creating Violin Plot•2 minutes
  • Creating Facet Grids•5 minutes
  • Creating Heatmaps•2 minutes
3 assignments•Total 90 minutes
  • Data Visualization Using Seaborn in Python - Assessment•15 minutes
  • Full Course Assessment•60 minutes
  • Full Course Practice Assessment•15 minutes

Instructor

Offered by

Why people choose Coursera for their career

👁 Image

Felipe M.

Learner since 2018
"To be able to take courses at my own pace and rhythm has been an amazing experience. I can learn whenever it fits my schedule and mood."
👁 Image

Jennifer J.

Learner since 2020
"I directly applied the concepts and skills I learned from my courses to an exciting new project at work."
👁 Image

Larry W.

Learner since 2021
"When I need courses on topics that my university doesn't offer, Coursera is one of the best places to go."
👁 Image

Chaitanya A.

"Learning isn't just about being better at your job: it's so much more than that. Coursera allows me to learn without limits."

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.

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.

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.

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.

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.

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.

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.

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

Financial aid available,