Data Analysis Mastery
This comprehensive program equips learners with the knowledge and practical skills required to achieve data analysis mastery with essential tools, techniques, and insights to transform data into meaningful decisions and actionable business strategies.
Course Price:
₦350,000
₦200,000
Early Bird Discount Ends In:
Days
Hours
Minutes
Seconds
Course Schedule
Tuesdays & Thursdays – 10:100 AM to 2:00PM [ONLINE]
Saturdays – 10:00 AM to 2:00PM [ONSITE]
Course Duration
EIGHT (8) WEEKS
COURSE OUTLINE
What you will learn: Week 1 - 2
- Introduction to Data Analytics
- Data Analytics Lifecycle
- Types of Data
- Data-Driven Decision Making
- Business Intelligence Fundamentals
- Data Ethics and Governance
- Practical
- Data Collection Exercises
- Data Interpretation Activities
- Business Case Studies
What you will learn: Week 3 - 4
- Excel Fundamentals
- Data Cleaning Techniques
- Formulas and Functions
- Pivot Tables
- Conditional Formatting
- Data Validation
- Practical
- Sales Data Analysis
- Financial Reporting
- Dashboard Creation
What you will learn: Week 5 - 6
- Introduction to Databases
- Relational Database Concepts
- SQL Fundamentals
- Data Querying
- Joins and Subqueries
- Data Manipulation
- Practical
- MySQL Database Setup
- Query Development
- Data Extraction Projects
What you will learn: Week 7 - 8
- Descriptive Statistics
- Probability Concepts
- Data Distribution
- Hypothesis Testing
- Correlation and Regression
- Business Statistics
- Practical
- Statistical Analysis Exercises
- Business Data Interpretation
What you will learn: Week 9 - 10
- Principles of Data Visualization
- Data Storytelling
- Visualization Best Practices
- KPI Development
- Interactive Reporting
- Practical
- Power BI Dashboards
- Tableau Visualizations
- Executive Reports
Certification Requirements
• Minimum 75% attendance
• Continuous Assessments
• Practical Lab Exercises
• Final Examination
• Capstone Project
Career Paths
• Data Analyst
• Business Intelligence Analyst
• Reporting Analyst
• Data Visualization Specialist
• Operations Analyst
• Market Research Analyst
• Financial Data Analyst
• Business Analyst
• Analytics Consultant