Data Visualization with Python Basics
( 25 Modules )

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

Module #2
Setting up Python for Data Visualization
Installing Python, necessary libraries, and IDE setup for data visualization

Module #3
Python Basics for Data Visualization
Review of basic Python concepts:variables, data types, loops, conditional statements

Module #4
Importing and Cleaning Data
Using Pandas to import and clean datasets for visualization

Module #5
Introduction to Matplotlib
Basic plotting with Matplotlib:line plots, scatter plots, bar charts

Module #6
Customizing Matplotlib Plots
Customizing plots:colors, labels, titles, and adding additional features

Module #7
Introduction to Seaborn
Visualizing statistical relationships with Seaborn:heatmaps, scatterplots

Module #8
Seaborn Visualizations:Distributions and Categorical Data
Visualizing distributions and categorical data with Seaborn

Module #9
Introduction to Plotly
Interactive visualizations with Plotly:line plots, scatter plots, bar charts

Module #10
Plotly Interactive Visualizations
Creating interactive visualizations with Plotly:hover-over text, zooming, and more

Module #11
Data Visualization Best Practices
Design principles for effective data visualization:color, typography, and more

Module #12
Visualizing Geospatial Data
Using Folium and Plotly to visualize geospatial data:maps and location-based data

Module #13
Visualizing Time Series Data
Using Pandas and Matplotlib to visualize time series data:line plots, area charts

Module #14
Visualizing Categorical Data
Using Seaborn and Matplotlib to visualize categorical data:bar charts, heatmaps

Module #15
Visualizing Correlations and Relationships
Using Seaborn and Matplotlib to visualize correlations and relationships:scatter plots, correlation matrices

Module #16
Creating Interactive Dashboards
Using Dash and Plotly to create interactive dashboards

Module #17
Deploying Data Visualizations
Deploying data visualizations to the web:using GitHub Pages, Heroku, and more

Module #18
Case Study:Exploring a Dataset
Applying data visualization skills to a real-world dataset:exploratory data analysis

Module #19
Case Study:Visualizing a Story
Using data visualization to tell a story:creating a narrative with data

Module #20
Advanced Data Visualization Techniques
Advanced techniques:animation, 3D visualization, and more

Module #21
Working with Big Data
Scaling data visualization for large datasets:using Dask, Spark, and more

Module #22
Data Visualization in Machine Learning
Using data visualization in machine learning:visualizing models, feature importance, and more

Module #23
Best Practices for Data Visualization in Industry
Applying data visualization skills in industry:considerations for stakeholder communication

Module #24
Final Project:Creating a Data Visualization Portfolio
Creating a data visualization portfolio:applying skills to a real-world project

Module #25
Course Wrap-Up & Conclusion
Planning next steps in Data Visualization with Python Basics 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

Data Visualization with Python Basics ( 25 Modules )

Data Visualization with Python Basics
( 25 Modules )