course | Python-Based Data Visualization and Analytics
Join the Python-Based Da... course taught in English
DIGTR-3192 | Python-Based Data Visualization and Analytics
Course Sector : Digital Transformation and Innovation
| Duration | Date from | Date to | Course Venue | Course fees | Book a course |
|---|---|---|---|---|---|
| 5 Days | 30/08/2026 | 03/09/2026 | Cairo | $4,250 | Book now |
| 5 Days | 14/09/2026 | 18/09/2026 | Dubai | $4,250 | Book now |
| 5 Days | 08/11/2026 | 12/11/2026 | Online | $2,150 | Book now |
| 5 Days | 05/04/2027 | 09/04/2027 | Dubai | $4,950 | Book now |
| 5 Days | 04/07/2027 | 08/07/2027 | Riyadh | $4,250 | Book now |
Course Introduction
Python is a powerful tool for advanced visualization and analytics. This program helps participants develop visually compelling and analytically robust dashboards using libraries like Matplotlib, Seaborn, and Plotly, with an emphasis on effective UI/UX and actionable insight generation.
Participants will learn to manipulate datasets, create interactive visualizations, and enhance decision-making by combining advanced analytics with intuitive visual design.
Course objective
- Create visually appealing charts and dashboards using Python visualization libraries.
- Apply advanced data analysis techniques for deeper insights.
- Implement interactive visualizations with Plotly and Dash.
- Optimize visual storytelling through design and layout principles.
- Transform raw data into meaningful, actionable business insights.
Course audience
- Data Analysts
- Business Analysts
- Data Scientists and Aspiring Data Scientists
- Business Intelligence (BI) Professionals
- Researchers and Academics
Course Outline | DAY 01
Python Visualization Fundamentals
- Introduction to Matplotlib, Seaborn, and Plotly
- Principles of visualization design and effective storytelling
- Visualizing distributions, relationships, and trends
- Customizing aesthetics: colors, themes, and labels
- Choosing the right chart type for your data
Course Outline | DAY 02
Advanced Visualization Techniques
- Creating complex multi-dimensional plots
- Heatmaps, pairplots, and correlation matrices
- Interactive dashboards with Plotly and Dash
- Combining multiple plots and subplots
- Best practices for clarity and visual impact
Course Outline | DAY 03
Data Mining and Analytics
- Data preprocessing and feature engineering
- Exploratory Data Analysis (EDA) for insights
- Statistical summaries and hypothesis testing
- Clustering and segmentation for visual storytelling
- Correlation and trend analysis for decision-making
Course Outline | DAY 04
Interactive Dashboards in Python
- Building dashboards with Plotly Dash
- Adding interactivity: dropdowns, sliders, and callbacks
- Designing dashboards for end-user experience
- Linking Python visualizations to live data sources
- Deployment and sharing of dashboards
Course Outline | DAY 05
Advanced Analytics for Decision Support
- Predictive analytics and trend forecasting
- Anomaly detection and key driver analysis
- Integrating Python models into dashboards
- Visualizing machine learning outputs effectively
BOOST’s Professional Attendance Certificate “BPAC”
BPAC is always given to the delegates after completing the training course,and depends on their attendance of the program at a rate of no less than 80%,besides their active participation and engagement during the program sessions.
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