Data Visualization with Google Colab Training in Metro Manila, Philippines

This course is designed to equip participants with the skills to perform data visualization using Python libraries within the Google Colab environment. Through hands-on practice, participants will learn how to load, process, and visualize data using tools such as Matplotlib, Seaborn, Plotly, and Pandas.

Fundamentals of Data Visualization in Colab

Introduction to Google Colab for Visualization

• Overview of Google Colab features
• Creating and saving notebooks
• Uploading and accessing datasets
• Installing and importing required libraries (Matplotlib, Seaborn, etc.)

Working with Data in Pandas

• Loading CSV and Excel files
• Previewing and cleaning data
• Handling missing values
• Basic data manipulation and aggregation

Introduction to Matplotlib

• Creating basic plots (line, bar, scatter)
• Customizing plots (titles, labels, legends, colors)
• Adding multiple plots and subplots
• Saving figures and exporting plots

Using Seaborn for Statistical Visualization

• Seaborn vs Matplotlib
• Creating plots: countplot, boxplot, histogram, pairplot
• Styling and themes in Seaborn
• Using hue, style, and size for multi-dimensional data

Advanced Visualizations and Interactivity

Plotly for Interactive Visualizations

• Introduction to Plotly in Colab
• Creating interactive line, bar, and scatter plots
• Hover tooltips, zoom, and filter options
• Plotly Express vs Plotly Graph Objects

Visualizing Relationships and Distributions

• Heatmaps and correlation matrices
• Histograms, KDE plots, violin plots
• Bubble charts and joint plots
• Visualizing time-series data

Creating Dashboards and Stories

• Organizing multiple visualizations in a single notebook
• Adding text, markdown, and visuals for storytelling
• Tips for effective visual communication
• Exporting and sharing dashboards

Final Exercises and Review

• Analyze and visualize a real-world dataset
• Combine static and interactive plots
• Present findings using a well-documented Colab notebook
• Group feedback and review

Final Assessment:

• Quiz on concepts and syntax
• Review of exercises with peer or instructor feedback