Data Visualization with Python

Data Visualization with Python

This course is part of Applied Python Data Engineering Specialization

Instructors: Matt Harrison

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4 modules

Gain insight into a topic and learn the fundamentals.

26 reviews

Intermediate level

Recommended experience

9 hours to complete

Flexible schedule

Learn at your own pace

4 modules

Gain insight into a topic and learn the fundamentals.

26 reviews

Intermediate level

Recommended experience

9 hours to complete

Flexible schedule

Learn at your own pace

What you'll learn

Apply Python, spreadsheets, and BI tooling proficiently to create visually compelling and interactive data visualizations.
Formulate and communicate data-driven insights and narratives through impactful visualizations and data storytelling.
Assess and select the most suitable visualization tools and techniques to address organizational data needs and objectives.

Skills you'll gain

Tools you'll learn

Details to know

Shareable certificate

Add to your LinkedIn profile

Assessments

4 assignments

Taught in English

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This course is part of the Applied Python Data Engineering Specialization

When you enroll in this course, you'll also be enrolled in this Specialization.

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There are 4 modules in this course

In today's data-driven world, the ability to create compelling visualizations and tell impactful stories with data is a crucial skill. This comprehensive course will guide you through the process of visualization using coding tools with Python, spreadsheets, and BI (Business Intelligence) tooling. Whether you are a data analyst, a business professional, or an aspiring data storyteller, this course will provide you with the knowledge and best practices to excel in the art of visual storytelling.

Throughout the course, a consistent dataset will be used for exercises, enabling you to focus on mastering the visualization tools rather than getting caught up in the intricacies of the data. The emphasis is on practical application, allowing you to learn and practice the tools in a real-world context. To fully leverage the Python sections of this course, prior experience programming in Python is recommended. Additionally, a solid understanding of high-school level math is expected. Familiarity with the Pandas library will also be beneficial. By the end of this course, you will possess the necessary skills to become a proficient data storyteller and visual communicator. With the ability to create compelling visualizations and leverage the appropriate tools, you will be well-equipped to navigate the world of data and make informed decisions that drive meaningful impact.

In this module, we will introduce you to the fundamentals of data visualization and provide step-by-step guidance on how to get started with creating basic plots in Excel and Google Sheets. Whether you are new to data visualization or looking to enhance your skills, this week will lay the groundwork for effective visual storytelling using these widely accessible tools.

What's included

13 videos8 readings1 assignment2 discussion prompts

13 videos Total 25 minutes

Getting Started with Data Visualization 4 minutes
Introduction to Excel for Visualization 1 minute
Creating a Line Plot in Excel 2 minutes
Creating a Histogram in Excel 1 minute
Creating a Scatterplot in Excel 1 minute
Creating a Bar Plot in Excel 2 minutes
Minimizing Clutter in Visualizations 2 minutes
Introduction to Sheets for Visualization 0 minutes
Creating a Line Graph in Sheets 2 minutes
Creating a Histogram in Sheets 1 minute
Creating a Scatterplot in Sheets 1 minute
Creating Bar Plot in Sheets 2 minutes
Optimizing Color for Visualizations 5 minutes

8 readings Total 75 minutes

Course Structure 10 minutes
Meet your Instructor: Matt Harrison 10 minutes
Common Plots Refresher 10 minutes
Report a problem with the course 5 minutes
Getting Ready: Accessing Microsoft Excel 10 minutes
Plotting Exercise: Excel 10 minutes
Getting Ready: Accessing Google Sheets 10 minutes
Plotting Exercise: Google Sheets 10 minutes

1 assignment Total 30 minutes

Data Visualization Fundamentals with Excel and Sheets 30 minutes

2 discussion prompts Total 20 minutes

Meet and Greet (optional) 10 minutes
Plotting Exercise Discussion 10 minutes

In this module, you will embark on an exciting journey of learning as you explore data visualization using Pandas, Seaborn and Matplotlib. You will use Pandas and Seaborn to construct histograms, which will allow you to gain insights into the distribution of your numerical data. You will also delve into scatterplots, enabling you to visualize the relationships between different variables in your datasets and identify patterns and correlations. Lastly, you will learn how to utilize line plots to capture temporal trends and changes over time, enhancing your ability to communicate data-driven narratives effectively.

What's included

19 videos7 readings1 assignment1 discussion prompt

19 videos Total 66 minutes

Exploring Basic Plots 7 minutes
Cleaning your Data 6 minutes
Creating a Line Plot with Pandas 9 minutes
Creating a Bar Plot with Pandas 4 minutes
Creating a Scatterplot with Pandas 3 minutes
Creating More Complicated Plots with Pandas 1 minute
Creating a Heatmap with Pandas 7 minutes
Creating a Slope Graph with Pandas 4 minutes
Chaining Methods with Pandas 6 minutes
Introduction to the Seaborn Library 1 minute
Creating a Line Plot with Seaborn 2 minutes
Creating a Bar Plot with Seaborn 2 minutes
Creating a Scatterplot with Seaborn 1 minute
Creating a Heatmap with Seaborn 1 minute
Creating a Slope Graph with Seaborn 2 minutes
Introduction to Matplotlib in Python 1 minute
Customizing Text with Matplotlib 5 minutes
Customizing Color with Matplotlib 2 minutes
Customizing Axes with Matplotlib 3 minutes

7 readings Total 70 minutes

Getting Ready: Accessing Python and Pandas 10 minutes
Pandas Resample, Groupby, and Rolling (optional) 10 minutes
Plotting Exercise: Pandas 10 minutes
Getting Ready: Installing Seaborn 10 minutes
Plotting Exercise: Seaborn 10 minutes
Getting Ready: Installing Matplotlib Libraries 10 minutes
Plotting Exercise: MatPlotLib 10 minutes

1 assignment Total 30 minutes

Data Visualization with Pandas, Seaborn and Matplotlib 30 minutes

1 discussion prompt Total 10 minutes

Plotting Exercise Discussion 10 minutes

In this module, you will explore the powerful combination of Plotly, Dash, and Streamlit for creating interactive and dynamic visualizations within a dashboard. You will use Plotly to create visually appealing histograms, scatterplots, and line plots that can be embedded within a dashboard. You will also dive into Dash and Streamlit, two popular Python frameworks for building interactive web-based dashboards. By the end of the week, you will be able to apply your knowledge and create a comprehensive dashboard that incorporates these visualizations, enabling users to explore and interact with your data.

What's included

15 videos6 readings1 assignment1 discussion prompt

15 videos Total 27 minutes

Introduction to Plotly 2 minutes
Creating a Line Plot with Plotly 3 minutes
Creating a Bar Plot with Plotly 1 minute
Creating a Scatterplot with Plotly 1 minute
Creating a Heatmap with Plotly 2 minutes
Creating a Slope Graph with Plotly 2 minutes
Introduction to Dash 0 minutes
Creating a Line Plot with Dash 3 minutes
Creating a Bar Plot with Dash 3 minutes
Creating a Scatterplot with Dash 5 minutes
Introduction to Streamlit 0 minutes
Creating a Line Plot with Streamlit 1 minute
Creating a Bar Plot with Streamlit 1 minute
Connecting a Widget to a Plot in Streamlit 2 minutes
Creating a Scatterplot with Streamlit 2 minutes

6 readings Total 60 minutes

Getting Ready: Accessing Plotly 10 minutes
Plotting Exercise: Plotly 10 minutes
Getting Ready: Accessing Dash 10 minutes
Plotting Exercise: Dash 10 minutes
Getting Ready: Accessing Streamlit 10 minutes
Plotting Exercise: Streamlit 10 minutes

1 assignment Total 30 minutes

Data Visualization with Plotly, Dash and Streamlit 30 minutes

1 discussion prompt Total 10 minutes

Plotting Exercise Discussion 10 minutes

In this module, you will dive into two cloud-based tools, Tableau and Amazon QuickSight, to create compelling visualizations, and gain insights from your data in a user-friendly and interactive manner. You will first use Tableau to design and create histograms, scatterplots, and line plots that effectively showcase your data. You will then use Amazon QuickSight, an intuitive and cloud-based business intelligence tool, to create visually appealing and interactive visualizations. By the end of the week, you will be able to apply your knowledge and create captivating visualizations using these platforms.

What's included

14 videos6 readings1 assignment1 discussion prompt

14 videos Total 11 minutes

Introduction to Tableau 0 minutes
Creating a Line Plot with Tableau 1 minute
Creating a Histogram with Tableau 1 minute
Creating a Scatterplot with Tableau 1 minute
Creating a Bar Plot with Tableau 1 minute
Creating a Plot Dashboard in Tableau 1 minute
Tableau Summary 0 minutes
Introduction to QuickSight 0 minutes
Creating a New Dataset in QuickSight 1 minute
Creating a Line Plot with QuickSight 2 minutes
Creating a Histogram with QuickSight 1 minute
Creating a Scatterplot with QuickSight 1 minute
Creating a Bar Plot with QuickSight 1 minute
Sharing your Plots with QuickSight 1 minute

6 readings Total 60 minutes

Getting Ready: Accessing Tableau 10 minutes
Plotting Exercise: Tableau 10 minutes
Getting Ready: Accessing Amazon QuickSight 10 minutes
Plotting Exercise: QuickSight 10 minutes
Next Steps 10 minutes
Share your learning experience 10 minutes

1 assignment Total 30 minutes

Visualization with Cloud-Based Tools: Tableau and Amazon Quicksight 30 minutes

1 discussion prompt Total 10 minutes

Plotting Exercise Discussion 10 minutes

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Instructors

Matt Harrison

Duke University

3 Courses 21,314 learners

Offered by

Duke University

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Reviewed on Aug 28, 2024

Great course, learnt a lot of practical skills through real-life examples

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To access the course materials, assignments and to earn a Certificate, you will need to purchase the Certificate experience when you enroll in a course. You can try a Free Trial instead, or apply for Financial Aid. The course may offer 'Full Course, No Certificate' instead. This option lets you see all course materials, submit required assessments, and get a final grade. This also means that you will not be able to purchase a Certificate experience.

When you enroll in the course, you get access to all of the courses in the Specialization, and you earn a certificate when you complete the work. Your electronic Certificate will be added to your Accomplishments page - from there, you can print your Certificate or add it to your LinkedIn profile.

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.