Course Overview
Data Management and Visualization 4-Day Training Workshop
Overview:
This intensive 4-day workshop is designed to provide participants with a comprehensive
understanding of data management and visualization. The course will cover essential concepts and
techniques for effectively managing data, as well as best practices for visualizing data to derive
meaningful insights. Participants will gain hands-on experience with various tools and technologies
used in the industry.
Learning Objectives:
- Understand the principles and importance of data management.
- Learn techniques for data cleaning, preparation, and transformation.
- Explore various data visualization tools and techniques.
- Develop skills to create compelling data visualizations.
- Gain hands-on experience with popular data management and visualization tools.
- Apply data visualization best practices to real-world scenarios.
Target Audience:
- Data analysts
- Business intelligence professionals
- Data scientists
- IT professionals
- Anyone interested in data management and visualization
Course Content:
Day 1: Introduction to Data Management
Morning Session:
- Welcome and Course Introduction
- Importance of Data Management
- Data Management Lifecycle
- Key Concepts: Data Quality, Data Governance, and Data Security
Afternoon Session:
- Data Collection and Storage
- Introduction to Databases (SQL, NoSQL)
- Hands-on Session: Setting up a Database
- Data Cleaning and Preparation Techniques
Day 2: Data Transformation and Integration
Morning Session:
- Data Transformation Techniques
- Data Integration and ETL (Extract, Transform, Load) Processes
- Tools for Data Transformation (e.g., Python, SQL, ETL Tools)
Afternoon Session:
- Hands-on Session: Data Transformation with Python (Pandas)
- Data Integration with ETL Tools
- Case Study: Real-world Data Integration Scenario
- Group Discussion and Q&A
Day 3: Introduction to Data Visualization
Morning Session:
- Importance of Data Visualization
- Principles of Effective Data Visualization
- Types of Data Visualizations: Charts, Graphs, Maps, etc.
Afternoon Session:
- Tools for Data Visualization (e.g., Tableau, Power BI, Matplotlib)
- Hands-on Session: Creating Basic Visualizations with Tableau
- Best Practices for Data Visualization
- Interactive Visualizations and Dashboards
Day 4: Advanced Data Visualization Techniques
Morning Session:
- Advanced Visualization Techniques
- Custom Visualizations with Python (Matplotlib, Seaborn)
- Hands-on Session: Advanced Visualizations with Python
Afternoon Session:
- Real-world Data Visualization Projects
- Group Project: Creating a Comprehensive Data Visualization Dashboard
- Presentation of Group Projects
- Course Review and Wrap-up
- Q&A and Feedback Session
Additional Information:
Prerequisites: Basic understanding of data concepts and familiarity with tools like Excel.
Materials Provided: Course notes, access to software tools, and sample datasets.
Certification: Participants will receive a certificate of completion at the end of the workshop.
By the end of this workshop, participants will be equipped with the knowledge and skills to manage
and visualize data effectively, enabling them to make data-driven decisions and communicate insights
clearly and compellingly.
Training Package Value for Money.
Training will be facilitated by professionals with hands-on skills and great wealth. Participants coming
from outside NAIROBI are requested to organize their own accommodation and transport. We can
however reserve accommodation space for you at the training venue.
Kindly confirm your participation with:
The Training Coordinator
Capacity Africa Institute
Email: workshops@capacityafrica.com
Website: www.capacityafrica.com