Hello there, Become a certified data scientist/analyst in 3 Months.
The world is undergoing an accelerated digital transformation, which is rapidly reshaping all industries and sectors.
According to the World Economic Forum, over 83 million jobs are going to be lost due to technology and artificial intelligence in 2027. If you do not want to be left behind, there’s no other time to learn a tech skill than right now. Data analysis/science is one of the major lucrative tech skill you can learn today that would help you stay relevant in this evolving digital world.
Master data analysis/science and launch your career as a data analyst with our comprehensive course. Learn essential techniques, from data cleaning and visualization to machine learning. Work on real projects, gain hands-on experience, and build a portfolio. Whether you aim to join top companies or drive innovation with your own agency, enroll now and unlock the potential of data analysis.
Looking to become a Data scientist/analyst and earn a competitive salary? Look no further than our Data science/analysis course! Upon completion of our course, you will be equipped with the skills and knowledge needed to land a job as a Data scientist/analyst, with a competitive yearly salary that can range from 8,000,000 Naira in Nigeria to 100,000 USD in the US and 98,000 Pounds in the UK, according to industry standards.
There are several lucrative roles you can get when you have data science. Here are some of them
Importing Data from Excel (Data Modelling & DAX on PowerBI)
• DAX Measures, Power BI – Project
• Visual Charts & Formatting – Column and Line Charts, Horizontal Bar Charts, Drill Down Filters,
Dashboard Filters, Donut Chart, Maps, Cards and Gauges, TreeMaps and Analytics
• What-If Analysis, Q and A Tool
Installation and Setup,
• Introduction to SQL,
• Relational Databases,
• Database Normalization,
• SQL Operations, SQL Functions
• SQL Wild Cards, SQL Project
• Arithmetic & Comparison Operators
Importing Data from Excel (Data Modelling & DAX on PowerBI)
• DAX Measures, Power BI – Project
• Visual Charts & Formatting – Column and Line Charts, Horizontal Bar Charts, Drill Down Filters,
Dashboard Filters, Donut Chart, Maps, Cards and Gauges, TreeMaps and Analytics
• What-If Analysis, Q and A Tool
Installation and Setup,
• Introduction to SQL,
• Relational Databases,
• Database Normalization,
• SQL Operations, SQL Functions
• SQL Wild Cards, SQL Project
• Arithmetic & Comparison Operators
•Python – Introduction, Concepts, Installation and Setup
• Python – Data Structures, Functions, Loops,
• Python for Data Analysis and Visualization (NumPy, Pandas, Matplotlib, Seaborn)
• Exploratory Data Analysis (EDA), Data Cleaning, Data Preprocessing
• Machine Learning in Python – Supervised (Introduction to Regression Analysis, Classification)
and Unsupervised (Clustering)
Learn Data Analysis step by step and build job-ready skills for a data analyst career.
Learn Data Analytics or Data Science step by step and build job-ready skills for a career in the data field.
Importing Data from Excel (Data Modelling & DAX on PowerBI)
• DAX Measures, Power BI – Project
• Visual Charts & Formatting – Column and Line Charts, Horizontal Bar Charts, Drill Down Filters,
Dashboard Filters, Donut Chart, Maps, Cards and Gauges, TreeMaps and Analytics
• What-If Analysis, Q and A Tool
Installation and Setup,
• Introduction to SQL,
• Relational Databases,
• Database Normalization,
• SQL Operations, SQL Functions
• SQL Wild Cards, SQL Project
• Arithmetic & Comparison Operators
Importing Data from Excel (Data Modelling & DAX on PowerBI)
• DAX Measures, Power BI – Project
• Visual Charts & Formatting – Column and Line Charts, Horizontal Bar Charts, Drill Down Filters,
Dashboard Filters, Donut Chart, Maps, Cards and Gauges, TreeMaps and Analytics
• What-If Analysis, Q and A Tool
Installation and Setup,
• Introduction to SQL,
• Relational Databases,
• Database Normalization,
• SQL Operations, SQL Functions
• SQL Wild Cards, SQL Project
• Arithmetic & Comparison Operators
•Python – Introduction, Concepts, Installation and Setup
• Python – Data Structures, Functions, Loops,
• Python for Data Analysis and Visualization (NumPy, Pandas, Matplotlib, Seaborn)
• Exploratory Data Analysis (EDA), Data Cleaning, Data Preprocessing
• Machine Learning in Python – Supervised (Introduction to Regression Analysis, Classification)
and Unsupervised (Clustering)
•Python – Introduction, Concepts, Installation and Setup
• Python – Data Structures, Functions, Loops,
• Python for Data Analysis and Visualization (NumPy, Pandas, Matplotlib, Seaborn)
• Exploratory Data Analysis (EDA), Data Cleaning, Data Preprocessing
• Machine Learning in Python – Supervised (Introduction to Regression Analysis, Classification)
and Unsupervised (Clustering)

This programme is designed for anyone
with no prior knowledge of skills required and willing to learn.
Duration
Cost
Get ahead with learning resources, fast track templates, guides and softwares
Free laptop or desktop usage (Abuja only)
Exclusive Data Science community to share ideas, knowledge and opportunities
Offer Ends Soon. Take Advantage Now!
Data analysis is the process of inspecting, cleaning, transforming, and modelling data with the goal of discovering useful information, drawing conclusions, and supporting decision-making.
Data analysis is a valuable skill for anyone working with data in their job, such as business analysts, data scientists, researchers, and marketers. Learning data analysis can benefit professionals looking to advance their careers or anyone interested in learning more about data analysis.
Our physical classes are in Abuja and Lagos. We are located at 6a Embu street off Aminu Kano crescent, Wuse 2 Abuja and at 44, Ogunlana Drive, Surulere, Lagos.
Yes, we have options for instructor-led virtual learning and subscription-based virtual learning.
Yes, Seedbuilders has an e-learning platform where you can get full access to the course and learn at your own convenience for a token of N15,000 only.
The software needed may vary depending on the course, but common tools for data analysis include Microsoft Excel, Python, SQL, and PowerBI.
No, our courses are beginners-friendly. However, having a basic understanding of these topics can be helpful.
Becoming good at Data Analysis/Science requires a great deal of practice and attention to detail. While there is no timeline for how good it takes to become really good in Data Analysis/Science, during the course of this training we will help you build your portfolio to be strong and be able to stand out in the job market.
You are getting the Seedbuilders Certificate of Completion after passing your mock exams. Also, all participants are recommended to take the Microsoft Certification exams immediately after completing our mock exams.
Take a look at the success stories from Seedbuilders' Data Science and Analysis Professional Alumni.
"I am getting what I have been looking for as a scientist. It is great."
"I had very little knowledge on graphics design but during the period of my training, I learnt a lot"
"The experience was great, It helped me boost my previous experience on graphics design."



100% Prompt service delivery. 100% Money-back Guarantee within 7 days. 100% Satisfaction Guaranteed.
We guarantee your satisfaction on our course with a full refund. If you are not satisfied with the performance promised because of some failure in our service, just let us know and we will refund every kobo you have paid.
Terms & Conditions Apply
Only a few seats are left at this Special OFFER of 10% discount
Many people ask if there is free data science training in Abuja. Short answer is yes, but these are mostly introductory workshops or community classes that cover basics like Excel, data concepts and simple visual tools. These free sessions help you test the waters and understand if data science is right for you. However, to build the full set of skills employers demand and earn real income, you need structured training that teaches Python, SQL, Power BI, and machine learning. At Seedbuilders, we offer occasional free preview lessons so you can experience our teaching style before committing to a full professional program. These previews are designed to give real insight, not just theory.
Online data science training in Abuja means you can learn without leaving your home or office. The best online formats combine live class interaction, real projects and instructor feedback. At Seedbuilders, our online classes are live and interactive, so you learn the same way you would in a physical classroom. Students receive real assignments, group project work, mentor feedback, and 24/7 access to learning materials. This approach helps you build real skills while still managing your other responsibilities.
The price of data science training in Abuja varies widely depending on depth, duration and materials provided. Short beginner courses in Nigeria often range from about ₦50,000 to ₦180,000. More comprehensive programs covering Python, SQL, Power BI and data science skills typically range from ₦200,000 to ₦400,000 and higher. Full professional data science bootcamps that include project work, certification and career support can cost up to around ₦1,000,000 or more at premium centers. Seedbuilders’ professional data science training is designed to give full job ready skills, real projects and career guidance to help you transition into a data role with confidence. DATC Nigeria
The best data analysis training center is one that not only teaches tools like Excel, SQL, Power BI and Python but also shows you how to apply them on real business problems. You want a center that helps you build a portfolio employers trust and gives you mentorship throughout the journey. Seedbuilders has trained learners in Abuja and across Nigeria with a focus on practical learning and career support. We ensure you understand each concept and how it applies in real workplace scenarios. Our programs include guided projects that you can show to employers and recruiters.
Data analytics courses in Abuja teach you how to collect, clean, analyze and visualize data to make insights that inform decision making. A strong analytics course covers spreadsheet tools, SQL databases, visualization tools like Power BI or Tableau, and sometimes introductory Python scripting. These courses prepare you for roles such as Data Analyst, Business Intelligence Analyst and Reporting Specialist. Seedbuilders’ courses are structured so you go from beginner concepts all the way to advanced analytics and data science skills with real practical experience.
AI training in Abuja focuses on helping learners understand artificial intelligence concepts such as machine learning, neural networks and predictive modeling. This type of training goes beyond data analysis and teaches you how to build models that can forecast outcomes, automate decisions and extract deeper insights from data. At Seedbuilders, our AI training includes hands-on experience with real datasets, model evaluation techniques and deployment basics. You learn tools like Python libraries (Pandas, Scikit-learn) and how business use AI to create value.
When you search for a “data analytics school near me” in Abuja, you want a program that blends convenience with quality. Abuja has reputable training centers that deliver both in-person and online instruction. Whether you live in Central Area, Garki, Wuse, Kubwa or anywhere in the city, you can join Seedbuilders classes and still get the same level of support, live mentorship and practical assignments. We make learning accessible and effective no matter where you are in the city.
Cloud computing skills are now essential for data professionals. AWS training in Abuja prepares you to use Amazon Web Services tools like EC2, S3, IAM, AWS Lambda and cloud-based data services. Learning AWS enables you to deploy data solutions that scale, store data securely and perform powerful analytics in the cloud. At Seedbuilders, our AWS training is practical, focusing on real cloud environments so you learn by doing. This makes you job ready for roles in cloud operations, data engineering and analytics.
A full data science course in Nigeria can cost between around ₦200,000 and over ₦1,000,000 depending on the provider, curriculum depth and whether career support is included. Short beginner courses may be at the lower end, while bootcamps with project work, real employer connections and one-on-one mentoring will be at the higher end. When choosing a course, think about the return on investment. A higher quality program that helps you get hired quickly is often worth more than a cheaper option with little support. DATC Nigeria
Learning data analysis in Nigeria can cost from around ₦50,000 for basic classes up to ₦400,000 or more for full professional programs that include SQL, Python and advanced analytics tools. Online platforms like Coursera, edX and Udemy also offer lower cost options that help you learn fundamentals but may not provide the local context, mentorship and project work you need to land a job in Nigeria. Seedbuilders combines value and structure so you learn quickly and get practical experience employers demand. DATC Nigeria
Data scientists in Nigeria command some of the highest salaries in the tech field because of their advanced skills. On average, a data scientist earns around ₦516,000 per month or about ₦6,200,000 per year, with experienced professionals earning significantly more in top industries like finance, tech and consulting. Salary ranges can be from about ₦248,000 to over ₦800,000 per month depending on your experience and skills. With specialized skills like machine learning or deep learning, and experience with tools like Python and cloud platforms, your earning potential rises even higher. This makes data science one of the most rewarding career paths in Nigeria’s growing tech economy. DATC Nigeria
Choosing between Computer Science (CS) and Data Science (DS) depends on your career interests. Computer Science focuses on software development, algorithms, systems and building applications. Data Science focuses on analyzing data, building predictive models, interpreting patterns and solving business questions with data. If you enjoy programming and systems, CS might suit you. If you love interpreting data trends and using data to make decisions, Data Science may be better. Many professionals combine both fields to become versatile developers and analysts. What matters most is aligning your choice with your career goals and the kinds of problems you enjoy solving.
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