Course overview
In this course, you’ll learn how to balance graph creation and statistics in your visualizations using tools such as Matplotlib and Seaborn. Throughout this course, you’ll learn the most common methods and techniques to visualize data using a variety of Python libraries.
Best of all, you’ll learn by doing – you’ll practice and get feedback directly in the browser. You’ll apply your skills to several guided projects involving realistic business scenarios to build your portfolio and prepare for your next interview.
Key skills
- Developing fundamental knowledge of data visualization using Python libraries
- Visualizing data with line plots, scatter plots, bar plots, and more
- Optimizing your data visualization workflow to reveal insights and fuel data-driven decisions
Course outline
Introduction to Data Visualization in Python [6 lessons]
Line Graphs and Time Series 1h
Lesson Objectives- Plot a line graph using Matplotlib
- Customize a line graph using Matplotlib
- Visualize time series with line plots
- Interpret line plots by identifying types of change
Scatter Plots and Correlations 1h
Lesson Objectives- Generate a scatter plot using Matplotlib
- Visualize correlations using scatter plots
- Measure correlation using Pearson's r
- Interpret correlation values correctly
Bar Plots, Histograms, and Distributions 1h
Lesson Objectives- Create a bar plot using Matplotlib
- Create a histogram using Matplotlib
- Visualize a frequency table using a bar plot
- Visualize a grouped frequency table using a histogram
- Interpret bar plots and histograms
Pandas Visualizations and Grid Charts 2h
Lesson Objectives- Generate graphs using pandas
- Compare graphs using grid charts
- Generate grid charts using Matplotlib
Relational Plots and Multiple Variables 1h
Lesson Objectives- Build relational plots using seaborn
- Represent multiple variables with relational plots
- Identify patterns by examining a relational plot
Guided Project: Finding Heavy Traffic Indicators on I-94 2h
Lesson Objectives- Complete a portfolio project using visualization
- Determine weather indicators of heavy traffic using visualization
- Combine and apply the data visualization project
Projects in this course
Finding Heavy Traffic Indicators on I-94
For this project, you’ll assume the role of a data analyst exploring a dataset on westbound traffic on the I-94 Interstate highway. You’ll apply exploratory data visualization techniques to determine indicators of heavy traffic.
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