What will you learn in Capstone: Retrieving, Processing, and Visualizing Data with Python Course
Build and customize various types of data visualizations using Python libraries.
Use Matplotlib, Seaborn, and advanced plotting techniques to represent data effectively.
Apply best practices for creating clear, accurate, and engaging visual presentations.
Integrate multiple datasets and customize visualizations for storytelling and analysis.
Program Overview
Module 1: Introduction to Data Visualization Tools
⌛ Duration: 1 week
Topics: Basic visualization concepts, introduction to Matplotlib, setting up the Python environment.
Hands-on: Create your first simple chart in Python using Matplotlib.
Module 2: Basic Plotting with Matplotlib
⌛ Duration: 1 week
Topics: Line plots, bar charts, histograms, and customization of axes and labels.
Hands-on: Build multiple chart types and customize them with colors, titles, and annotations.
Module 3: Advanced Visualization with Matplotlib
⌛ Duration: 1 week
Topics: Subplots, 3D visualizations, advanced customization features.
Hands-on: Design a multi-plot figure showing multiple views of the same dataset.
Module 4: Visualization with Seaborn
⌛ Duration: 1 week
Topics: Statistical visualizations, heatmaps, pair plots, and regression plots.
Hands-on: Create heatmaps and correlation plots for deeper insights into your data.
Module 5: Advanced Visualization Techniques
⌛ Duration: 1 week
Topics: Combining multiple plots, custom color palettes, style themes.
Hands-on: Build a custom-themed dashboard-like visualization using multiple Seaborn charts.
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Job Outlook
High demand for data visualization skills across data science, business analytics, and research roles.
Strong career opportunities in industries like finance, marketing, healthcare, and tech.
Average salary for data visualization specialists: $70,000–$110,000 annually.
Freelance opportunities in reporting, dashboard creation, and data storytelling are growing rapidly.
Specification: Capstone: Retrieving, Processing, and Visualizing Data with Python
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