Data Analysis Mastery + NEST

This comprehensive program equips learners with the knowledge and practical skills required to **Master data analysis with NEST through practical techniques, essential tools, and proven methods to turn data into valuable insights and smarter decisions.

Course Price:

₦350,000

₦200,000

Early Bird Discount Ends In:

Days
Hours
Minutes
Seconds
More Details
Secure Your Spot

Course Schedule

Tuesdays & Thursdays – 10:100 AM to 2:00PM [ONLINE]

Saturdays – 10:00 AM to 2:00PM [ONSITE]

Course Duration

EIGHT (8) WEEKS

SECURE YOUR SPOT

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

What you will learn: Week 11 - 13

  • Power BI Fundamentals
  • Data Modeling
  • DAX Functions
  • Report Development
  • Dashboard Design
  • Publishing and Sharing Reports
  • Practical
  • Business Intelligence Dashboard
  • Executive Analytics Dashboard

What you will learn: Week 14 - 15

  • Python Fundamentals
  • Data Analysis with Pandas
  • Data Visualization with Matplotlib
  • Data Cleaning and Transformation
  • Exploratory Data Analysis
  • Practical
  • Data Cleaning Projects
  • Business Analytics Projects

What you will learn: Week 16 - 17

  • Predictive Analytics
  • Forecasting Techniques
  • Customer Analytics
  • Market Basket Analysis
  • Business Performance Analysis
  • Practical
  • Predictive Analytics Project
  • Business Forecasting Project

What you will learn: Week 18 - 19

  • Business Intelligence Concepts
  • KPI Design
  • Executive Reporting
  • Performance Measurement
  • Strategic Decision Support
  • Practical
  • Executive Dashboard Development
  • Performance Analytics Reporting

What you will learn: Week 20 - 21

  • Introduction to AI in Analytics
  • Generative AI Tools
  • Data Analytics Automation
  • AI-Assisted Reporting
  • Prompt Engineering for Analysts
  • Practical
  • AI Analytics Projects
  • Automated Reporting Solutions

What you will learn: Week 22

  • Data Governance
  • Data Quality Management
  • Data Security Fundamentals
  • Privacy Regulations
  • Ethical Data Management

What you will learn: In Week 22 - 24, Students will

  • Analyze real-world datasets
  • Build interactive dashboards
  • Develop business intelligence reports
  • Present data-driven recommendations
  • Defend findings before a review panel

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