Data Analysis
Data Analysis
As a data analyst, you are embarking on a journey into the world of information-driven decision-making. Consider the vast amount of data generated daily within organizations—ranging from transactional records stored in databases, operational data from systems and services, to insights gathered from diverse sources such as customer feedback, surveys, and social media platforms.
Given that data and information are among an organization’s most valuable assets, the key challenge today lies in understanding, analyzing, and transforming this data into meaningful insights. Many organizations struggle to leverage their data effectively, limiting their ability to respond quickly to market changes and make informed strategic decisions.
This reality highlights the importance of analytical thinking and narrative-driven data presentation.
This course explores data trends, analytical techniques, and the use of data to solve real business problems. Learners will gain hands-on experience in integrating multiple data sources, applying analytical and scientific methods, and generating insights using tools such as Microsoft Excel, Power BI, SQL, Tableau, and Python to create value for organizations.
What You Will Learn:
Data collection, cleaning, and preparation
Advanced Excel for analysis and reporting
SQL for querying databases
Data visualization using Power BI or Tableau
Interpreting insights and presenting findings
Career Opportunities:
Data Analyst, Business Intelligence Analyst, Reporting Analyst, Research Analyst
Average Salary (₦):
₦200,000 – ₦600,000 per month
Data Analysis with Microsoft Excel
Introduction to Data Analysis & Excel Interface
Data Cleaning and Preparation Techniques
Using Formulas, Functions, and Pivot Tables
Data Visualization with Charts and Dashboards
Analyzing Data for Insights and Decision-Making
- Advance Excel, Macro and AI in Data Analysis
Data Analysis with Power BI
Introduction to Power BI & Data Modeling Concepts
Importing, Cleaning, and Transforming Data (Power Query)
Data Modeling and Relationships
Creating Interactive Reports and Dashboards
Publishing, Sharing, and Business Insights
Data Analysis with MySQL
Introduction to Databases and SQL Fundamentals
Writing SQL Queries for Data Retrieval
Data Filtering, Sorting, and Aggregation
Working with Joins, Subqueries, and Views
Analyzing and Reporting Data Using SQL
Data Analysis with Tableau
Introduction to Tableau and Data Connections
Data Preparation and Blending
Creating Visualizations and Dashboards
Storytelling with Data and Insights
Publishing and Sharing Tableau Reports
Data Analysis with Python
Introduction to Python for Data Analysis
Working with Data Using Pandas and NumPy
Data Cleaning, Transformation, and Exploration
Data Visualization with Matplotlib and Seaborn
Performing Exploratory Data Analysis (EDA) and Reporting
Get Comprehensive Curriculum after registration
What’s Included:
- Intensive 3 Months Practical Training
- Study Materials + Resources
- Projects
- Internship
- Examination
- Certificate
Enroll Today and take advantage of our ongoing 25% Scholarship Program.
Normal Price: ₦ 200,000
Our Scholarship Offer:
Physical Class: ₦ 150,000
Online Class: ₦ 100,000
We have a flexible payment plan that accommodates all backgrounds, and all you need to do is follow the steps below:
Step 1 – Click Here To Fill The Application Form.
Note – After filling the form, you’ll be redirected to a payment page where you will be asked to pay a one-time Application Fee of ₦10,000. (This covers your Application Form, Student Portal fee, ID Card, and Jotter)
Step 2 – Details of your application status including student portal details will be forwarded to your email and SMS line.
Step 3 – Part or Full tuition payment to secure a learning spot for either the Physical class or Online learning.
Here are the payment plans:
Option 1 – You may choose to pay once
Option 2 – Pay every month
We can’t wait to welcome you on board and embark on this exciting journey together!
Claim your 25% Scholarship today by clicking Here Now
Training Details
Course Work : 60 hours
Physical Class Weekdays: 3 days/week, 2 hours/day
Physical Class Weekends: 3 hours/Saturdays
Online Class: Flexible
Internship : 3 Months