Creating Charts and Graphs with Python
( 30 Modules )

Module #1
Introduction to Data Visualization
Overview of data visualization, importance of charts and graphs, and introduction to Python libraries for data visualization

Module #2
Setting Up the Environment
Installing required Python libraries (Matplotlib, Seaborn, Plotly), setting up Jupyter Notebook or IDE

Module #3
Introduction to Matplotlib
Basic concepts of Matplotlib, creating simple plots, customizing plot elements

Module #4
Line Charts and Time Series Data
Creating line charts, customizing line styles, working with time series data

Module #5
Scatter Plots and Correlation Analysis
Creating scatter plots, customizing markers and colors, understanding correlation and regression analysis

Module #6
Bar Charts and Histograms
Creating bar charts, customizing bars and colors, creating histograms

Module #7
Pie Charts and Donut Charts
Creating pie charts, customizing pie slices and colors, creating donut charts

Module #8
Introduction to Seaborn
Basic concepts of Seaborn, creating informative and attractive statistical graphics

Module #9
Visualizing Categorical Data with Seaborn
Creating bar plots, count plots, and box plots with Seaborn

Module #10
Visualizing Numerical Data with Seaborn
Creating scatter plots, regression plots, and heatmaps with Seaborn

Module #11
Introduction to Plotly
Basic concepts of Plotly, creating interactive plots

Module #12
Creating Interactive Line Charts and Scatter Plots with Plotly
Creating interactive line charts and scatter plots, customizing interactive elements

Module #13
Creating Interactive Bar Charts and Histograms with Plotly
Creating interactive bar charts and histograms, customizing interactive elements

Module #14
Working with 3D Plots and Maps with Plotly
Creating 3D plots, working with map data, creating interactive maps

Module #15
Customizing Charts and Graphs
Customizing plot elements, using themes and styles, adding annotations and labels

Module #16
Working with Real-World Data
Loading and cleaning real-world datasets, creating charts and graphs to visualize insights

Module #17
Best Practices for Data Visualization
Design principles, color theory, and best practices for effective data visualization

Module #18
Advanced Topics in Data Visualization
Working with big data, creating animations and interactive dashboards, using other Python libraries for data visualization

Module #19
Project:Creating a Data Visualization Dashboard
Applying learned concepts to create a comprehensive data visualization dashboard

Module #20
Project:Visualizing a Real-World Dataset
Applying learned concepts to visualize insights from a real-world dataset

Module #21
Project:Creating an Interactive Data Visualization
Applying learned concepts to create an interactive data visualization using Plotly or other libraries

Module #22
Final Project:Creating a Comprehensive Data Visualization Report
Applying learned concepts to create a comprehensive data visualization report

Module #23
Conclusion and Next Steps
Summary of key takeaways, resources for further learning, and next steps for continued development

Module #24
Appendix:Troubleshooting Common Issues
Troubleshooting common issues and errors in data visualization with Python

Module #25
Appendix:Advanced Data Visualization Techniques
Advanced data visualization techniques, including network visualization and geospatial visualization

Module #26
Appendix:Data Visualization in Other Python Libraries
Overview of other Python libraries for data visualization, including Bokeh and Altair

Module #27
Appendix:Data Visualization for Machine Learning
Using data visualization for machine learning, including visualizing model performance and hyperparameter tuning

Module #28
Appendix:Data Visualization for Data Science
Using data visualization for data science, including data exploration and insight generation

Module #29
Appendix:Data Visualization Best Practices for Communication
Best practices for communicating insights and results using data visualization

Module #30
Course Wrap-Up & Conclusion
Planning next steps in Creating Charts and Graphs with Python career

WIZAPE

ONLINE RESOURCES

ABOUT WIZAPE

ONLINE PORTAL

Our priority is to cultivate a vibrant community before considering the release of a token. By focusing on engagement and support, we can create a solid foundation for sustainable growth. Let’s build this together!

We're giving our website a fresh new look and feel! 🎉 Stay tuned as we work behind the scenes to enhance your experience.
Get ready for a revamped site that’s sleeker, and packed with new features. Thank you for your patience. Great things are coming!

CONTACT-US PRIVACY POLICY

Creating Charts and Graphs with Python ( 30 Modules )

Creating Charts and Graphs with Python
( 30 Modules )