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Introductory Course of Plotly Library
Chapter 1: Introduction to Plotly
Lesson 1: What is Plotly?
Lesson 2: History and Importance of Plotly
Lesson 3: Installing Plotly (Windows, macOS, Linux)
Lesson 4: Importing and Setting Up Plotly in Python
Lesson 5: Overview of Plotly’s Core Features
Chapter 2: Basic Plotly Graphs
Lesson 1: Understanding Plotly’s Figure Structure
Lesson 2: Creating Basic Line Charts
Lesson 3: Creating Basic Scatter Plots
Lesson 4: Creating Basic Bar Charts
Lesson 5: Exporting and Saving Plotly Graphs
Chapter 3: Customizing Plotly Graphs
Lesson 1: Adding Titles, Labels, and Legends
Lesson 2: Changing Colors, Markers, and Line Styles
Lesson 3: Adjusting Axis Ranges and Scales
Lesson 4: Using Annotations and Shapes
Lesson 5: Adding Backgrounds and Gridlines
Chapter 4: Interactive Features in Plotly
Lesson 1: Zooming and Panning in Graphs
Lesson 2: Using Hover Text and Tooltips
Lesson 3: Adding Sliders to Graphs
Lesson 4: Implementing Dropdown Menus
Lesson 5: Using Buttons for Interactive Controls
Chapter 5: Working with Categorical Data
Lesson 1: Creating Pie Charts
Lesson 2: Creating Sunburst Charts
Lesson 3: Creating Treemaps for Hierarchical Data
Lesson 4: Box Plots for Statistical Analysis
Lesson 5: Violin Plots for Data Distribution
Chapter 6: Working with Numerical Data
Lesson 1: Creating Histograms
Lesson 2: Density Heatmaps
Lesson 3: Kernel Density Estimation (KDE) Plots
Lesson 4: Rug Plots for Data Distribution
Lesson 5: Creating Waterfall Charts
Chapter 7: Plotly and Pandas Integration
Lesson 1: Using Plotly with Pandas DataFrames
Lesson 2: Creating Charts from Pandas Data
Lesson 3: Grouped and Stacked Bar Charts from Pandas
Lesson 4: Visualizing Time Series Data with Pandas
Lesson 5: Handling Missing Data in Visualizations
Chapter 8: Time Series Visualization
Lesson 1: Creating Line Charts for Time Series Data
Lesson 2: Adding Moving Averages to Charts
Lesson 3: Handling Time Zones and Date Formats
Lesson 4: Forecasting and Trend Analysis with Plotly
Lesson 5: Creating Lag Plots and Autocorrelation Plots
Chapter 9: 3D Visualizations
Lesson 1: Creating 3D Scatter Plots
Lesson 2: 3D Surface Plots
Lesson 3: 3D Mesh Plots
Lesson 4: 3D Line Charts
Lesson 5: Animating 3D Graphs
Chapter 10: Creating Animations in Plotly
Lesson 1: Introduction to Animated Graphs
Lesson 2: Creating Animated Line Charts
Lesson 3: Using Frames for Animations
Lesson 4: Customizing Animation Transitions
Lesson 5: Real-Time Data Visualization with Plotly
Chapter 11: Working with Geospatial Data
Lesson 1: Introduction to Geospatial Data
Lesson 2: Creating Choropleth Maps
Lesson 3: Creating Scatter Plots on Maps
Lesson 4: Heatmaps on Maps
Lesson 5: Adding Routes and Path Tracing
Advanced Course of Plotly Library
Chapter 1: Advanced Customization and Styling
Lesson 1: Using Custom CSS in Plotly Graphs
Lesson 2: Customizing Axis Ticks and Labels
Lesson 3: Theming and Template Customization
Lesson 4: Adding Multiple Legends and Titles
Lesson 5: Creating Multi-Subplot Figures
Chapter 2: Advanced Interactive Visualizations
Lesson 1: Dynamic Filtering with Dropdowns
Lesson 2: Implementing Drill-Down Interactivity
Lesson 3: Connecting Multiple Graphs
Lesson 4: Crossfiltering Data in Dashboards
Lesson 5: Creating Linked Brushing Effects
Chapter 3: Dashboards with Plotly and Dash
Lesson 1: Introduction to Dash for Dashboard Development
Lesson 2: Creating Basic Dash Layouts
Lesson 3: Connecting Dash Components with Callbacks
Lesson 4: Handling Real-Time Data in Dash
Lesson 5: Deploying Dash Applications
Chapter 4: Financial Data Visualization
Lesson 1: Creating Candlestick Charts
Lesson 2: OHLC Charts for Stock Analysis
Lesson 3: Bollinger Bands and Moving Averages
Lesson 4: Volume Charts for Trading Data
Lesson 5: Combining Multiple Indicators in One Chart
Chapter 5: Statistical Data Visualization
Lesson 1: Creating Parallel Coordinates Plots
Lesson 2: Creating Contour Plots
Lesson 3: Visualizing Correlation Matrices
Lesson 4: Creating Probability Distribution Charts
Lesson 5: Creating Heatmaps for Large Datasets
Chapter 6: Big Data Visualization with Plotly
Lesson 1: Handling Large Datasets in Plotly
Lesson 2: Optimizing Performance with WebGL Rendering
Lesson 3: Streaming Live Data into Plotly
Lesson 4: Server-Side Rendering for Large Data
Lesson 5: Using Datashader with Plotly
Chapter 7: Creating Scientific and Engineering Plots
Lesson 1: Creating Contour Maps
Lesson 2: Surface Plots for Scientific Data
Lesson 3: Visualizing Differential Equations
Lesson 4: Engineering Diagrams with Plotly
Lesson 5: Visualizing Complex Numbers and Functions
Chapter 8: Customizing Plotly with JavaScript
Lesson 1: Introduction to Plotly.js
Lesson 2: Embedding Plotly Graphs in Web Pages
Lesson 3: Adding Custom JavaScript Events
Lesson 4: Handling User Inputs in JavaScript
Lesson 5: Using D3.js with Plotly
Chapter 9: Machine Learning and AI Visualizations
Lesson 1: Visualizing Decision Boundaries in Classification Models
Lesson 2: Creating Clustering Visualizations (K-Means, DBSCAN)
Lesson 3: PCA and Dimensionality Reduction Visualization
Lesson 4: Neural Network Activation Heatmaps
Lesson 5: AI-Powered Data Storytelling with Plotly
Chapter 10: Integrating Plotly with Other Libraries
Lesson 1: Using Plotly with Matplotlib
Lesson 2: Integrating Plotly with Seaborn
Lesson 3: Combining Plotly with Bokeh and Altair
Lesson 4: Using Plotly with TensorFlow and PyTorch
Lesson 5: Plotly with SQL and Database Queries
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