Data preparation
Explore the course guide, practise the ideas and discuss the work you want to build with your tutor.
PRACTICAL LEARNING. A CLEARER NEXT STEP.
Turn a collection of numbers into an explanation people can act on. Explore how to clean information, investigate questions and communicate findings clearly.

Apply analytical skills to reporting tasks, business operations and a portfolio of practical data projects.
Explore the course guide, practise the ideas and discuss the work you want to build with your tutor.
Explore the course guide, practise the ideas and discuss the work you want to build with your tutor.
Explore the course guide, practise the ideas and discuss the work you want to build with your tutor.
Bring your goals and questions. The course guide below explains the areas of learning; admissions can help you check the starting requirements, equipment and available format before you enrol.
Ask about suitability and requirements ↗Read the learning areas and existing curriculum. Current fees and durations are shown separately below.
In the digital age, data is no longer just numbers on a spreadsheet. It drives business decisions, shapes government policies, predicts market trends, and helps organizations gain a competitive edge. But raw data alone is useless. It takes skilled professionals to collect, clean, analyze, and present that data in ways that generate real insights.
That’s where Advanced Data Analysis comes in — and why those with the ability to work with complex data tools are some of the most sought-after talents in today’s economy.
Across industries — from finance and healthcare to retail, government, and technology — organizations are collecting more data than ever. But the real value lies in turning that data into actionable insights. Skilled data analysts help companies solve business problems, identify growth opportunities, predict customer behavior, and reduce risks.
In Nigeria, the rise of startups, fintech companies, telecom giants, and even public sector digitization has created a surge in demand for professionals who can handle data effectively. Whether you want to work locally or remotely for global organizations, data analysis opens doors.
The world generates 2.5 quintillion bytes of data every single day, and organizations are increasingly dependent on professionals who can turn this data into actionable insights.
Many people struggle to break into data analysis because of theoretical, outdated, or overwhelming learning methods. Mita School takes a different approach — one focused on simplicity, relevance, and real-world application.
This is not just classroom learning. From your first day, you’ll be working with real tools used by global data professionals, solving practical business problems through guided projects.
You’ll gain hands-on experience with tools like Microsoft Excel for advanced data manipulation, Power BI for professional dashboard creation, Python for data automation, and Apache Spark for handling large datasets. Other tools such as KNIME, RapidMiner, and SAS are also integrated to give you broad, industry-ready exposure.
By the end of the program, you won’t just know the theory. You’ll have the confidence to apply for data roles, contribute to business decisions, and present your work through professional reports and dashboards.
The training is structured for absolute beginners, making it ideal for individuals looking to transition into data-focused roles. Whether you’re a university graduate exploring tech careers, a business professional wanting to add data skills to your profile, or someone seeking freelance opportunities, this course gives you the tools to succeed.
Entrepreneurs and business owners also benefit by learning how to use data for better decision-making, market research, and growth planning.
Throughout the training, you’ll work extensively with industry-relevant tools. Microsoft Excel and Power BI provide the foundation for business reporting and visualization. Python introduces you to coding for data manipulation and automation. Apache Spark prepares you for handling large, complex datasets.
You’ll also learn how to use KNIME for workflow automation, RapidMiner for predictive analytics, and SAS for advanced statistical analysis — all in a beginner-friendly, step-by-step structure.
More importantly, you’ll apply these skills to real-world projects, giving you a professional portfolio that showcases your abilities to future employers or clients.
Data Analysts are needed across sectors — from banking and telecommunications to logistics, healthcare, marketing, and public administration. With the skills acquired in this program, you’ll be equipped for roles such as Data Analyst, Business Intelligence Analyst, Reporting Analyst, and Market Research Specialist.
For those who wish to continue learning, this program also lays the foundation for transitioning into more advanced fields like Data Science, Machine Learning, or Data Engineering.
The global economy is driven by information. Organizations that understand and leverage data outperform those that don’t. This creates a growing demand for individuals who can make sense of complex information and translate it into meaningful insights.
Learning Data Analysis today puts you ahead of the curve. It positions you for higher earning potential, global job access, and the ability to contribute to critical decision-making in any organization.
Current learning modes, durations, tuition and payment choices are shown in the fees section. Your registration quote confirms the applicable terms.
Certificate of completion from Mita School upon successful completion of the programme.
The ability to work with data is no longer optional — it’s essential. Businesses, governments, and individuals depend on data to survive and thrive. But without the right skills, navigating the world of data can feel overwhelming.
Seats for the upcoming cohort are limited. Early application is encouraged to secure your place.
Take the first step towards mastering data and building a high-value skill set. Enroll in Mita School’s Advanced Data Analysis Training in Uyo today.
Compare the current approved choices. Choose a mode to continue through the existing Mita School registration process.
₦350,000tuition
Pay tuition in full: ₦332,500
5% saving on tuition only.
40%, then 35%, rounded upward to ₦10,000 where applicable; the final payment is the exact tuition remainder. Your quote confirms due dates.
Intake begins 2 November 2026
Choose physical & register →₦450,000tuition
Pay tuition in full: ₦427,500
5% saving on tuition only.
40%, then 35%, rounded upward to ₦10,000 where applicable; the final payment is the exact tuition remainder. Your quote confirms due dates.
Intake begins 2 November 2026
Choose online & register →Student ID card + branded T-shirt: ₦15,000 once. Added to the first payment where applicable; no cap. A confirmed prior package payment is not charged again. Later installments cover tuition only. Your checkout confirms eligibility and the combined amount before payment.
Year-end class break: 19 December 2026–10 January 2027. No classes run during this period. Classes resume Monday, 11 January 2027. Registration continues throughout December; registrations from 19 December join the January resumption intake.
Already enrolled? Your agreed quote, payment dates and records remain unchanged. Use your existing student account.
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Speak with admissions if you need help choosing a course, learning mode or payment plan.
Many Mita School programmes welcome beginners. Review this course’s guide and ask admissions to confirm the starting requirements and equipment for your situation.
Mita School is at 15 Ekpenyong Street, Off Barracks Road, Uyo, Akwa Ibom State. You can visit to discuss your course, see the learning environment and ask questions before enrolling. Confirm the venue shown for your chosen intake before making travel arrangements.
The available choices are shown in this page’s fees section. Online programmes with an approved physical reference use physical tuition plus ₦100,000 and run one calendar month shorter. If a reference or programme mapping still needs confirmation, contact admissions for the current offer.
A full payment saves 5% on tuition only. Eligible installment plans use 40%, then 35%, rounded upward to ₦10,000 where applicable, followed by the exact tuition remainder. The ₦15,000 student ID card and branded T-shirt package is collected once where applicable with the first payment. A confirmed prior package payment is not charged again; no cap is included. Your quote shows the applicable combined amount before payment.
Certificate of completion from Mita School upon successful completion of the programme. External professional certification exams are separate; ask admissions about any confirmed exam inclusion and costs.
Choose an available learning mode above, enter your details, verify your email and review your quote before checkout. After server-verified successful payment and active enrollment, your student dashboard shows My enrolments. Check your email for confirmation and joining details. Keep your existing email/account if you are already a student.
Talk to Mita School about Data Analysis in Uyo, Akwa Ibom.