Courses
Data Visualization with Python, Power BI, & Tableau
This hands-on course teaches data visualization techniques using Python libraries for custom charts, Power BI for interactive dashboards, and Tableau for advanced storytelling with data. Students will learn to clean, analyze, and present insights from datasets, building skills for effective communication in business and analytics through practical projects and real-world applications.
About Course
Career Prospects
- Data Visualization Specialist
- Business Intelligence Analyst
- Data Analyst
- Dashboard Developer
- BI Developer
- Reporting Analyst
- Data Storyteller
- Analytics Consultant
Course Curriculum
Module 1: Introduction to Data Visualization
- Visualization Principles
- Data Types and Sources
- Choosing the Right Tool
- Ethical Considerations
- Industry Use Cases
Module 2: Data Preparation Fundamentals
- Data Cleaning Techniques
- Handling Missing Values
- Data Transformation
- Integration from Sources
- Basic Statistics
Module 3: Python for Data Visualization Basics
- Python Setup and Libraries
- Matplotlib Fundamentals
- Seaborn for Statistical Plots
- Pandas Data Manipulation
- Basic Charts and Graphs
Module 4: Advanced Python Visualization
- Plotly for Interactive Plots
- Customizing Visuals
- Geospatial Mapping
- Time Series Visualization
- Animation Techniques
Module 5: Introduction to Power BI
- Power BI Interface
- Data Import and Modeling
- DAX Basics
- Report Building
- Publishing and Sharing
Module 6: Advanced Power BI Techniques
- Custom Visuals
- Slicers and Filters
- Drill-Down Features
- Performance Optimization
- AI Visuals Integration
Module 7: Introduction to Tableau
- Tableau Workspace
- Data Connection
- Calculated Fields
- Basic Dashboards
- Story Creation
Module 8: Advanced Tableau Features
- Parameters and Sets
- Maps and Spatial Analysis
- Blending Data Sources
- Actions and Interactivity
- Performance Tuning
Module 9: Integrating Tools and Best Practices
- Combining Python with BI Tools
- Workflow Automation
- Comparative Analysis
- Accessibility Standards
- Collaboration Methods
Module 10: Projects and Career Development
- Capstone Visualization Projects
- Portfolio Building
- Case Studies
- Resume Optimization
- Job Market Strategies
Skills and Tools Covered
- Python
- Matplotlib
- Seaborn
- Plotly
- Pandas
- Power BI
- Tableau
- DAX
- SQL
- Excel
Duration
1 Month
Cost
KES. 20,000