Data Visualization with Python
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Data Visualization with Python
This course is part of Applied Python Data Engineering Specialization
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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
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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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Reviewed on Aug 28, 2024
Great course, learnt a lot of practical skills through real-life examples
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