Become an AI-Powered Certified Data Analyst
Gain expert data analytics and visualization skills with 15+ hands-on projects in Excel, Power BI, and AI — and work remotely as a data analyst from Nigeria.
Time before the price increases:
![[getpaidstock.com] 689dbd0d19320](https://jobready.com.ng/wp-content/uploads/2025/08/GetPaidStock.com-689dbd0d19320-1024x683.jpg "Data Analytics")
Why You Should Take This Course
The average salary of a data analyst in the U.S. now ranges roughly between $88,000 and $98,000 annually, depending on experience and role.
Why Choose JobReady?
- Beginner Friendly Training
- Curriculum Built for 2025 Skills
- AI-Powered Learning Approach
- Expert-Led Instructors
- Flexible Learning Options
- Fast Career Launch (3–6 Months)
- Job Placement Support
- Access to Global Certifications
- Employer Connections
- Affordable Compared to International Bootcamps
- Full Career Support
- High-Paying Global Opportunities
Skills You'll Learn
In this course, you’ll master the key skills needed to become a world-class data analyst by working with real company datasets and building strong, practical data analytics experience.
Phase 1
Data Literacy & Analytical Foundations
Build the Core Skills Every Data Professional Needs
Develop a strong foundation in analytical thinking, data interpretation, and industry-standard tools. This phase equips you with the essential knowledge required to understand, structure, and work with real-world data.
Content Covered
Explore how data drives decision-making across industries and learn the key roles within the analytics field. Understand the difference between data analysis, data science, and business intelligence. This module gives you a clear roadmap of what to expect and how to succeed.
Learn how to break down business questions, identify data needs, and create actionable insights. This module strengthens your critical thinking and helps you approach problems like a data professional. You’ll practice translating raw information into clear, meaningful solutions.
Master essential techniques for preparing reliable datasets by addressing errors, inconsistencies, and missing values. You’ll work with real-world messy data to understand how professionals handle complexity. This module builds your confidence in producing high-quality analysis work.
Learn advanced Excel skills such as pivot tables, lookup functions, data modeling, and dashboards. You will perform hands-on analysis that mirrors what organizations expect from analysts. This module helps you build fast, efficient analytical workflows.
Understand the principles of storytelling with data and how to design charts that communicate insights effectively. Learn when to use specific visuals for different types of information. This module prepares you to create reports that influence decisions.
Phase 2
Practical Analytics & Visualization Systems
Gain Real Technical Skills Using Industry Tools
This phase takes you beyond the basics, giving you hands-on experience with analytics platforms, databases, and visualization software used by top companies worldwide.
Content Covered
Learn how to extract, filter, aggregate, and analyze data directly from databases using SQL. You’ll work with joins, subqueries, and complex queries used in real analytics teams. This module builds your ability to handle data at scale.
Create interactive dashboards and visual reports using Power BI’s professional toolset. Learn data modeling, DAX formulas, and how to turn raw data into real-time insights. This module prepares you for BI Analyst roles across industries.
Begin coding with Python for automation, analysis, and basic data processing. Work with libraries like Pandas, NumPy, and Matplotlib to manipulate and visualize datasets. This module unlocks your analytical power and expands your job options.
Dive deep into dataset patterns, correlations, and outliers using charts and statistical summaries. Learn how analysts diagnose trends and build insights for stakeholders. This module gives you the confidence to handle complex datasets independently.
Understand probability, hypothesis testing, and key statistical concepts used in business decision-making. Apply these skills to real scenarios such as customer behavior, sales forecasting, and operational performance. This module builds your strategic thinking as a data professional.
Phase 3
Advanced Analytics, Industry Projects & Job-Ready Skills
Become a Confident, Professionally Capable Data Analyst
This phase transforms you from a learner into an industry-ready analyst through advanced techniques, real data projects, and career-focused skill-building.
Content Covered
Explore advanced BI modeling techniques and complex DAX expressions used to build dynamic dashboards. You’ll learn how enterprise-level analytics teams structure their data models. This module elevates your analytical thinking to a professional standard.
Learn how to use machine learning techniques like regression, clustering, and classification to forecast outcomes. Work hands-on with beginner-friendly ML tools in Python. This module helps you understand how organizations predict trends and automate insights.
Analyze real industry datasets from finance, healthcare, retail, and technology. Learn how to translate messy, raw information into clear recommendations for decision makers. This module gives you exposure to the work analysts do daily in companies.
Understand how organizations protect sensitive data, maintain ethical standards, and comply with global regulations. Learn best practices for responsible data handling and reporting. This module prepares you for professional environments and global roles.
Build your personal portfolio with real dashboards, reports, and analytics case studies. Get support for interviews, CV enhancement, and practical assessments used in analytics hiring. This module positions you for entry-level data analyst, BI analyst, or reporting analyst roles.
Work on a complete analysis project from data cleaning to visualization and insight presentation. You’ll design a dashboard and deliver a professional analytics report showcasing your skills. This project becomes the highlight of your job-ready portfolio.
Meet Your Instructors & Mentors
We collaborate with the finest talent to ensure high-quality learning.
Tope Adeosun
Facebook (Meta) Certified Lead Trainer and Mentor at Google
Victoria Victor
Facebook (Meta) Certified Digital Marketer
Jerry Freeborn
Facebook (Meta) Certified Digital Marketer
Training Details
SkillBoost Limited: Fonte House, 1 Temple Ejekwu Close, First Artillery Junction, Aba Road, Port Harcourt, Rivers State.
Start Date (Weekday Batch): 1st December 2025
Time: 10AM - 1PM (Monday, Wednesday and Friday)
SkillBoost Limited: 4, Obe Street, Beside BOVAS Filling Station, New Bodija, Ibadan, Oyo State, Nigeria.
Training Start Date: 1st December 2025
Time: 10am - 1pm (Monday, Wednesday and Friday)
Join our 10-Week Instructor-Led Online Training and never miss a session—every class is recorded, giving busy professionals and business owners the flexibility to learn, grow, and achieve results on their own schedule.
Training Start Date: 20th October (Time: 7PM- 9PM)
Time and Days: Mon, Wed. & Fri.
If you complete the training, apply the skills, and do not get a Job within 3 - 6 Months, we’ll refund every fee—no questions asked.
The only risk? Missing out on a life-changing opportunity. Enroll now and start building your future!
Pay Early Bird Fee of N150,000 Instead of N250,000 Now!
To REGISTER, Please Pay into SkillBoost Limited Account Number: 0058423529 (Unity Bank Plc)
Frequently Asked Questions
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.
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.
No previous knowledge of Digital Marketing 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.
- There are no prerequisites for this program as it is of beginner level. Everything that you need to know about Cybersecurity will be taught to you from scratch.
People prefer JobReady 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
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.
Our I.T classes are on a rolling basis. It’s not like schools when you can only start in April. Call us on 07030163486 and we will fill you in on all the details.
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.