Unlock the power of data and transform your career with our hands-on Data Science & Machine Learning training. Whether you're a beginner or an aspiring data expert, our structured curriculum, real-world projects, and expert guidance will set you on the path to success.
Get Real-World Experience: Join Our SIWES/IT Program Today!
Become a Certified Data Scientist
Time Before The Price Increases:
Why You Should Take This Course
Data Science and Machine Learning Is One Of The Most In Demand Skills In Tech In The World Today.
Data Science and Machine Learning are at the core of today’s digital revolution, which propel advancements in a variety of sectors, including technology, healthcare, finance, and e-commerce. Making data-driven decisions now requires the capacity to evaluate, interpret, and derive valuable insights from the massive amounts of data generated by enterprises.
Why Choose SkillBoost?
Beginner Friendly On The Job Training
Experts-Led Guidance+ Real Business Problems
Job Guaranteed or Get a 100% Refund
Remote Internship with 2 Big Foreign Companies
Professional Certificate of Completion + Letter Of Recommendation
Job Alerts & Career Guidance
FREE Ultra-Fast Unlimited Internet (Starlink)
Become AI Powered Professional
After Internship Job Recommendation or Advocacy
What You'll Learn
In this course, you'll learn the most effective set of skills needed to stand-out in Data Science and Machine Learning
Week 1 - Module 1 : Introduction To Python and Machine Learning
In this module, you’ll be introduced to the fundamentals of Python and Machine Learning. You’ll also learn the uses of python and machine learning in data analysis.
Module 2: Introduction to Python and Jupyter Notebook
Here, you’ll learn the building blocks of Python programming, starting with variables, arithmetic operators, and comparison operators. You’ll also learn to set up your development environment by installing Anaconda and working with Jupyter Notebook, which will serve as your primary tool for coding and data analysis.
Module 3: Introduction to Statistics and Applied Mathematics
In this module, you’ll explore the fundamental concepts of statistics and applied mathematics, which are essential for data analysis and machine learning. You’ll begin with an overview of basic statistical concepts and fundamentals, helping you understand how data is collected, measured, and interpreted.
Week 2 - Module 1: Python Basics (Variables & Arithmetic operators)
In this module, you’ll learn the fundamental building blocks of Python programming, starting with variables—the containers used to store data. Also, you’ll learn about arithmetic operators, which allows you to perform basic mathematical operations.
Module 2: Python Basics (Comparison Operators & Dictionaries)
In this module, you’ll learn about comparison operators, which are essential for making logical decisions in Python.
Module 3: Python Basics (Indexing, Tuples & Lists)
In this module, you’ll explore three essential concepts in Python programming: indexing, tuples which are immutable (unchangeable) collections used to store multiple items in a single variable. and list which is one python’s most flexible data structure.
Week 3 - Module 1: Python Basics (Looping)
In this module, you’ll learn about looping, a fundamental concept in Python that allows you to automate repetitive tasks efficiently.
Module 2: Introduction to Numpy
Here, you’ll be introduced to NumPy (Numerical Python), a powerful library for numerical computing in Python.
Module 3: Introduction to Pandas
In this module, you’ll learn about Pandas, one of the most powerful libraries for data manipulation and analysis in Python. Pandas provides easy-to-use data structures like Series and DataFrames, which allow you to handle structured data efficiently.
Week 4 - Module 1: Introduction to Pandas (Statistics)
Here, you’ll explore the statistical capabilities of Pandas, which allow you to perform in-depth data analysis with ease. You’ll start by learning how to use Pandas functions to calculate descriptive statistics, such as me
Module 2: Introduction to Matplotlib (Visualization)
In this module, you’ll be introduced to Matplotlib, one of the most widely used libraries for data visualization in Python. You’ll start by learning how to install and import Matplotlib and understand its core components, such as Figure, Axes, and Plot.
Module 3: AI-Assisted Programming
In this module, you’ll explore the world of AI-assisted programming, where artificial intelligence enhances the development process by providing intelligent code suggestions, debugging assistance, and automation.
Week 5 - Module 1: Project 1 (HR Correlation Analysis)
In this project, you’ll apply your data analysis and visualization skills to explore relationships between various HR-related factors within an organization.
Module 2: Project 2 (Mode of transport (MOT) Analysis for LNG in Canada)
In this project, you’ll analyze different modes of transport (MOT) for Liquefied Natural Gas (LNG) in Canada using data analytics and visualization techniques.
Module 3: Project 3 (Crude Oil vs HVL hazard analysis)
In this project, you’ll conduct a comparative hazard analysis of Crude Oil and Highly Volatile Liquids (HVL) using data analytics and visualization techniques.
Weeks 6 - Module 1: Introduction to Machine Learning
In this module, you’ll gain a foundational understanding of Machine Learning (ML)—a branch of artificial intelligence that enables computers to learn from data and make predictions without explicit programming.
Module 2: Regression Algorithms
In this module, you’ll dive into regression algorithms, which are used to predict continuous numerical values based on input data. Regression is a fundamental concept in machine learning, commonly applied in fields like finance, marketing, and healthcare for tasks such as predicting sales, stock prices, and medical outcomes.
Module 3: Classification Algorithms
In this module, you’ll explore classification algorithms, a core component of machine learning used to predict categorical outcomes or labels. Classification is widely used in applications such as spam detection, image recognition, medical diagnosis, and more.
Week 7 - Module 1: Dimensionality Reduction Techniques
In this module, you’ll explore dimensionality reduction, a crucial technique in machine learning used to reduce the number of features (variables) in a dataset while retaining important information. This process helps in simplifying models, improving computational efficiency, and mitigating issues like overfitting and multicollinearity.
Module 2: k-Means Clustering with Example on Core Data
In this module, you’ll dive into k-Means Clustering, one of the most popular and widely used unsupervised machine learning algorithms. k-Means is a clustering algorithm that groups data into a specified number of clusters (k) based on their similarity.
Week 8 - Module 1: Introduction to Weka
In this module, you’ll be introduced to Weka, a powerful open-source software suite for data mining and machine learning.
Module 2: Machine Learning and AI
In this module, you’ll gain a deeper understanding of the relationship between Machine Learning (ML) and Artificial Intelligence (AI), and how these technologies work together to create intelligent systems capable of solving complex problems
Module 3: Capstone Project
In this final module, you’ll apply everything you’ve learned throughout the course in a comprehensive Capstone Project. This project will challenge you to solve a real-world problem using machine learning, data analysis, and AI techniques.
Job Preparation Guide
In this segment of the training, We will help you prepare for technical and HR interviews for Data Analysis Roles. Also, we will provide you with training in CV writing skills and LinkedIn Optimization. Everything you need to grab any job opportunity.
Bonus 1: A Mentorship Session with a Top Data Scientist
In this segment, you will have a Ask-Me-Anything session with a top data scientist to guide you further.
Bonus 2: How To Make $1,000 Monthly Working Remotely As a Data Scientist
In this segment, a top freelancer will share with you a blueprint that guarantees you to make at least $1,000 Monthly working Remotely As A Data Scientist… Even if you know nothing about remote work.
Bonus 3: A Step-by-Step Guide On How To Relocate to the UK from Nigeria with a Skilled Worker Visa & Tech Nation Visa.
The Skilled Worker visa allows qualifying individuals to come to the UK to work for an approved sponsor in an eligible role. We will give you a Guide on How To Apply for Skilled Worker Visa and Tech Nation Visa.
Bonus 4: FREE Workspace with Utra Fast Unlimited Internet Wifi (Starlink)
Register today to enjoy our Workspace with Ultra Fast Satellite Internet (Starlink) for FREE.
Training Details
Weekday Batch
(Physical Class)
(Physical Class)
Days: Tue., Thur., & Fri.
Time: 10 AM - 1 PM
Duration: 10 Weeks
Online Class
(Instructor Led)
(Instructor Led)
Days: Mon., Wed., & Fri.
Time: 7PM - 9PM
Duration: 6 Weeks
Platform for Online: Google Meet with Recording Option.
Weekend Batch
(Physical Class)
(Physical Class)
Saturday Time: 1PM-4PM
Sunday Time: 1PM-4PM
Duration: 14 Weeks
Days & Time
The days and time of the Internship is depending on the Career Path Enrolled For. We Run 6 Batches Per Year.
Payment
FEE: ₦200,000
Port Harcourt Address
SkillBoost Limited: Fonte House, 1 Temple Ejekwu Close, First Artillery Junction, Aba Road, Port Harcourt, Rivers State.
Training Start Date: 19th January 2026
Ibadan Venue
SkillBoost Limited: 4, Obe Street, Beside BOVAS Filling Station, New Bodija, Ibadan, Oyo State, Nigeria.
Training Start Date: 19th January 2026
Instructor-Led Online Training
Milano Properties House: 26D, Road 3, Ikota Villa Estate, Beside Mega Chicken, Ikota, Lekki, Lagos.
Training Start Date: 19th January 2026
Testimonials
99% of our previous students rated us 5 stars.
Don’t take our word, just read what some of them have to say.
Frequently Asked Questions
1. What is the essence of Data Analytics?
In today’s data-driven world, everything from market research and sales figures to expenses and logistics relies heavily on data. For many, this information can be overwhelming and difficult to navigate. It can be challenging and time-consuming to identify what’s important, what isn’t, and what the data signifies. Data Analysts aim to extract meaningful insights from raw data, requiring a strong understanding of key Data Analytics concepts such as data cleaning, data analysis, and data visualization learning. SkillBoost Limited’s Data Analytics Course in Nigeria covers these concepts in detail, equipping learners with the skills needed to master data analytics.
01. Can I make payment in Installment?
Yes. We’re happy to work with you on a payment plan. If you’d like to speak with a member of staff about possible payment options, you may reach us at 07030163486 via WhatsApp.
02. What Are The Requirements for Taking This Course?
No previous knowledge of Data Analysis or experience is required. However, you must be familiar with using computer efficiently. Our instructional style is geared toward beginners. We will begin from the start and guide you to become an expert.
03. Who Are The Key Skills That I Will Learn In This Training?
- Communication and Presentation Skills.
- Identifying data uses in everyday life and business.
- Data Gathering and Exploration
- Organizing data for data analysis.
- Problem Definition and Solving
- Step-by-Step process of Data Analysis
04. Who Is This Training For?
- We designed this training for those seeking the practical skills in Excel to perform data analysis and visualization.
- Professionals who need to upskill their skills in data analysis and visualisation.
- Anyone aspiring to become a Professional Data Analyst
- Business Owners who want to make sense of their business numbers.
- Business Consultant and Coach.
05. Why Should I Choose SkillBoost Over Other Training Centres?
People prefer SkillBoost over others because our trainings are:
- Experts Led: Some of our trainers and Mentors work with some of the biggest Tech Companies in the World (Google, Facebook, etc)
- Projects-Based Training: We build our students confidence with in-depth live projects.
- Job Recommendation: We connect our students to top employers within and outside Nigeria.
- We offer FREE Career Guidance and mentoring.
- FREE Access to Support & Jobs Community.
- Recognized Certificate: Our certificates are recognized globally.
- Flexible Timing (In-Class, Online & Weekend).
- Flexible Payment Plan
06. Do I Need To Have My Own Computer Before I Enroll For This Training?
Yes. it is recommended you come with your own laptop as it will help you to practice whatever you are learning easily. However, we provide laptop that can be used only within our premises if need be.
07. What Type of Jobs Would I Qualify For If I Take This Course?
Generally, Microsoft Excel and Power Bi are the most-widely used data analysis tool of all the hundreds of data analysis tools in the world. There are hundreds roles available on job websites and other platforms in need of a Data Analyst. We will should you how to get hundreds of these jobs.
08. When Does Your Next Training Start?
Our I.T classes are on a rolling basis. It’s not like schools when you can only start in September or January. Call us on 08028973599 and we will fill you in on all the details.
© 2025 SkillBoost Limited. All Rights Reserved.
