Data Analytics Professional

Data analytic

Turn Messy Data into Decisions People Can Act On.

Learn how to clean, analyse, visualise, and interpret data using practical tools used in business and professional environments.

This 12-week programme combines hands-on data analysis, dashboard development, business interpretation, and portfolio-ready project work.

₦150,000 | 12 Weeks | Physical Training | Practical & Project-Based

Course at a Glance

Programme: Data Analytics Professional
Duration: 12 weeks
Tuition: ₦150,000
Mode: Physical, hands-on training
Entry Level: Beginner-friendly
Assessment: Practical exercises and capstone project
Certificate: CIH Certificate after successful completion
Next Cohort: 16 November
Sponsorship: Selected sponsored opportunities may be available

What You Will Learn

Develop practical skills in:

  • Microsoft Excel and Google Sheets;
  • data cleaning and preparation;
  • formulas, functions and data organisation;
  • exploratory data analysis;
  • SQL fundamentals for working with structured data;
  • Python fundamentals for data analysis;
  • Power BI;
  • data visualisation;
  • dashboard development;
  • identifying trends, patterns and outliers;
  • business KPIs and performance analysis;
  • interpreting analytical results;
  • data storytelling;
  • writing clear insight reports;
  • presenting findings to technical and non-technical audiences.

What You Will Build

A Decision-Ready Analytics Portfolio Project

You will work with practical datasets and complete exercises that reflect how data is used in real organisations.

Your capstone project will take you through:

  • understanding a business or organisational problem;
  • preparing and cleaning data;
  • analysing the dataset;
  • identifying useful findings;
  • creating visualisations;
  • developing a dashboard;
  • interpreting the results;
  • and presenting recommendations.

The goal is to graduate with a decision-ready dashboard, an insight report and a portfolio case study you can explain confidently.

Your 12-Week Learning Journey

Data Foundations

Understand data analytics, data types, business questions, and how analysts turn raw information into useful insights.

Excel & Google Sheets

Clean, organise, analyse and summarise datasets using spreadsheet tools.

SQL & Data Preparation

Learn how structured data is stored and use SQL fundamentals to retrieve and work with relevant information.

Power BI & Visualisation

Transform analysed data into clear visualisations, KPIs and interactive dashboards.

Python for Analytics

Develop introductory Python skills for cleaning, analysing and working with data.

Business Interpretation & Capstone

Bring your skills together in a practical project, develop your insight report and present your findings.

Who Is This Programme For?

This programme is suitable for:

  • complete beginners interested in data analytics;
  • students and graduates;
  • professionals who work with reports, figures or business data;
  • aspiring data analysts;
  • entrepreneurs and business owners;
  • researchers and administrative professionals;
  • professionals transitioning into data-driven roles;
  • aspiring freelancers.

You do not need previous coding experience to begin.

A suitable laptop and consistent practice are required.

Why Learn Data Analytics at CIH?

Work with Data, Not Just Slides

Training focuses on practical datasets, exercises, dashboards, and analysis.

Learn Multiple Analytics Tools

Develop capability across spreadsheets, Power BI, SQL, and introductory Python.

Understand the Business Meaning

You learn not only how to produce charts, but how to interpret findings and communicate what they mean.

Build Portfolio Evidence

Your final project gives you a dashboard, report, and case study that demonstrate your developing capability.

Communicate Your Findings

Learn how to explain analytical results clearly to managers, clients and other non-technical stakeholders.

Data Analytics or Data Science?

Choose Data Analytics if:

You want to focus on cleaning, analysing, visualising and interpreting data to support business and organisational decision-making.

Choose Data Science if:

You want a deeper technical pathway involving more extensive Python, statistics, databases and machine learning.

Both work with data, but the depth, tools and types of problems differ.

Professional Development

The programme is designed to help you build practical competence and evidence of work.

Participants also develop skills in portfolio presentation, communication and positioning their analytical capability for professional or freelance opportunities.

CIH does not guarantee employment, freelance contracts, clients, or income.

Frequently Asked Questions

Is this course suitable for beginners?

Yes. The programme starts from the fundamentals and is suitable for learners without previous data analytics experience.

Do I need to know programming?

No. Previous programming experience is not required. Introductory Python is taught as part of the programme.

What tools will I learn?

The programme covers Excel/Google Sheets, Power BI, SQL and Python for practical data cleaning, analysis and visualisation.

Will I build a dashboard?

Yes. Dashboard development and visual presentation of analytical findings are important parts of the programme.

Will I complete a project?

Yes. You will complete a capstone project involving data preparation, analysis, visualisation, interpretation and reporting.

Do I need a laptop?

Yes. You need access to a suitable laptop for practical sessions, exercises and project work.

Will I receive a certificate?

Yes. Participants who successfully complete the programme and applicable assessment requirements receive a Craft Innovation Hub certificate.

Are sponsorship opportunities available?

Selected sponsored or subsidised seats may be available depending on partner funding and eligibility.

Ready to Make Data Useful?

Learn how to move from raw numbers to clear dashboards, useful insights, and better-informed decisions.

Data Analytics Professional
₦150,000 | 12 Weeks | Physical Training

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