Diploma in Data Analysis

Course Overview

The Data Analysis Diploma Program is a focused 4-month course designed to equip learners with essential skills to collect, process, analyze, and visualize data to support informed decision-making.


 

The program blends theoretical knowledge with practical, hands-on experience using industry-standard tools and techniques, preparing students for careers in data-driven industries.

Learning Objectives

Upon completing this diploma program, students will be able to:

  • Understand Data Analysis Fundamentals
  • Collect and Manage Data
  • Perform Statistical Analysis
  • Master Data Visualization Techniques
  • Gain Proficiency in Python for Data Analysis
  • Apply Data Analysis to Real-World Scenarios
  • Prepare for Professional Certifications
  • Program Duration: 4 Months 

  • Teaching Mode: Physical 

  • Fee: NGN 100,000

  • Schedule: Full-time (Weekdays) / Part-time (Weekends)

  • Focus Areas: Data Cleaning, Statistical Analysis, Data Visualization, and Business Intelligence
  • Tools & Frameworks: Excel, SQL, Python, Tableau, SPSS, and Power BI
Career Opportunities

Graduates of this program can pursue roles such as:

  • Data Analyst
  • Business Intelligence Analyst
  • Reporting Analyst
  • Data Visualization Specialist
  • Operations Analyst

This course ensures students are equipped with the knowledge and tools to excel in a data-driven world, providing them with the skills to extract actionable insights and contribute meaningfully to any organization.

Course Content
  • Git and Github

INTRODUCTION TO DATA ANALYTICS.

  • Data analysis/Data Science
  • Business Analyst Vs Data Analyst

Tools for Data analysis

INTRODUCTION TO MICROSOFT EXCEL

  • Excel Basics
  • Excel Power Query
  • Excel Formulas and Conditional Formatting
  • Pivot Tables in Excel
  • Power Pivot
  • Visualizations using Excel.
  • Projects in Excel

INTRODUCTION TO TABLEAU

  • Charts in Tableau
  • JOINS in Tableau
  • Parameters in Tableau
  • Data Blending in Tableau
  • Tableau Dashboard

INTRODUCTION TO MS SQL

  • SQL basics
  • Creating Tables using MS SQL
  • SQL Data Exploration
  • SQL Keywords
  • CASE Functions

Introduction to Power BI

  • Power BI installation and basic visualization
  • Power Query
  • DAX in Power BI
  • Relationship
  • Conditional Formatting
  • Drill Up/Drill Down
  • Bin/List
  • Projects

INTRODUCTION TO PYTHON PROGRAMMING LANGUAGE.

  • Introduction
  • Python Basics, Variables, Data Types
  • Control Flow
  • Functions
  • Pandas, Numpy, Seaborne, Matplotlib.pyplot, Plotly
  • Data Analysis Projects
  • Building of Portfolios

Data Analysis Career Facts

20 M
Job Openings Globally
$ 3 B+
Revenue Yearly
$ 56 K
Yearly Salary
TOP 10
Recommended Skill for 2025

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