Data Analysis With Machine Learning
School: School of Engineering
Certificate: Yes
Start date: 15th September, 2025
Registration status: In Progress, register today!
Group Class Fees: ₦400,000 ₦290,000 Naira / $300
Admission fees: $10 / ₦10,000
Programme length: 3 months
Discount expiry: 31st August, 2025
Location: Onsite or Virtual
Days/Time: Thrice per week
About the Programme
Unlock your potential and excel in the exciting field of data analysis with machine learning. Gain in-depth knowledge to transform complex datasets into actionable insights using powerful machine learning algorithms. You’ll master key technologies such as Python, SQL, and Excel, and gain proficiency in data visualization with Power BI. With hands-on experience and real-world project execution, guided by experienced tutors, you’ll be prepared to make a lasting impact. Join us today and start your journey to becoming a top-tier data analyst!
Admission Requirements
Educational Background:
You don’t need to have a certificate to apply for this program. We expect anyone to take the program.
Work Experience and Certifications:
You don’t need to have work experience to learn this track.
Language Proficiency:
The course is conducted in English, so applicants must have a basic understanding of the English language to effectively engage with the curriculum and participate in discussions.
Assessment:
All applicants will be required to take an assessment at our office after paying the application fees.
The entrance exam will evaluate their problem-solving skills and readiness for this program.
- You must have a laptop. The recommended minimum specifications for the laptop is: Hardware: 64 bits Core i5, 8GB RAM or above. OS: Windows 10+, Mac 2015+ , Linux (Ubuntu 22.04+).
Course Outline
- Introduction to Data Analysis and Foundational Concepts
- Foundational Data Handling with Microsoft Excel
- Database Fundamentals with SQL
- Exploratory Data Analysis (EDA) and Visualization with Python & Excel
- Statistical Analysis and Hypothesis Testing
- Introduction to Predictive Modeling
- Business Intelligence and Dashboarding with Power BI
- Final Capstone Project