Data Analysis Course in Port Harcourt, Uyo & Online — Become a Certified Data Analyst in 3 Months.
Wedigraf Tech Hub, the training arm of Wedigraf Technologies Ltd, offers a 3-month, intensive, hands-on data analysis course that takes you from complete beginner to expert data analyst. You will learn Microsoft Excel, SQL, Power BI, Tableau, Python, R, statistics, predictive analytics, cloud analytics, and AI-assisted analysis — the exact skills employers list in data analyst job postings in Nigeria and around the world.
This is not a theory-only class. Our data analytics training is project-based: every module includes real workplace tasks, a module project, and a live project for a real business. You finish with a capstone project, a professional portfolio of 10+ projects, an optimised LinkedIn profile, preparation for globally recognised data analyst certifications, and remote job placement assistance.
Course at a Glance
- Course: Data Analysis Course & Certification (Beginner to Expert)
- Training provider: Wedigraf Tech Hub (Wedigraf Technologies Ltd)
- Duration: 3 Months (12 weeks), extended daily sessions — Monday to Friday, 9:00 am – 5:00 pm, plus Saturday project lab
- Level: Beginner to Expert — no prior experience, coding, or degree in IT required
- Learning formats: Physical (onsite) classes in Port Harcourt and Uyo, or Virtual (online) live classes
- Projects: Hands-on tasks, module projects, live client projects, and an individual capstone project
- Certification preparation: Microsoft PL-300, CompTIA Data+, Google Data Analytics, Tableau, IBM Data Analyst, Databricks Data Analyst
- Certificate: Wedigraf Certified Data Analyst – Certificate of Completion
- Career support: Portfolio building, LinkedIn optimisation and remote job placement assistance (3 months after graduation)
Why Choose Wedigraf Tech Hub for Data Analytics Training?
- Global standards, local relevance: the curriculum follows industry frameworks (CRISP-DM, DAMA-DMBOK) and official certification objectives, using Nigerian datasets (NBS, CBN) and real businesses.
- Beginner to expert in one programme: 20 structured modules — no need to piece together separate Excel, SQL and Power BI courses.
- Learn by doing: about 70% of class time is hands-on labs, tasks and projects.
- Live projects with real clients: solve real business problems for partner companies in e-commerce, entertainment, education and SMEs.
- Certification-ready: domain-mapped practice questions from Week 3, mock exams and an exam-readiness review.
- Career-focused: we help you build a portfolio, optimise LinkedIn and apply for local and remote data analyst jobs.
- Flexible formats: learn at our Port Harcourt or Uyo hubs, or join live virtual classes from anywhere.
What You Will Learn (Full Curriculum)
Module 1: Introduction to Data Analysis & Data Literacy
The data analyst role, types of analytics, data types, the data analysis process, CRISP-DM, KPIs, SMART questions, survey design, and data ethics.
Module 2: Microsoft Excel & Google Sheets for Data Analysis
Advanced formulas, XLOOKUP, dynamic arrays, data cleaning, Power Query, PivotTables, Power Pivot and DAX, what-if analysis, Solver and interactive Excel dashboards.
Module 3: Statistics for Data Analysis
Descriptive statistics, probability, distributions, sampling, confidence intervals, hypothesis testing, A/B testing, correlation and regression.
Module 4: Databases & Data Modelling
Relational databases, ERDs, normalisation, star and snowflake schemas, data warehouses, data lakes and lakehouses.
Module 5: SQL for Data Analysis
SELECT to advanced SQL: joins, subqueries, CTEs, window functions, views, stored procedures, query optimisation, cohort and RFM analysis in PostgreSQL, MySQL, SQL Server and BigQuery.
Module 6: Data Visualisation & Data Storytelling
Choosing the right chart, dashboard design, colour and accessibility, storytelling frameworks and presenting insights to executives.
Module 7: Microsoft Power BI (PL-300 Aligned)
Power Query, data modelling, DAX, time intelligence, interactive reports, Power BI Service, row-level security, Microsoft Fabric and Copilot.
Module 8: Tableau & Looker Studio
Calculated fields, table calculations, LOD expressions, maps, dashboards, Tableau Public and Looker Studio marketing dashboards.
Module 9: Python for Data Analysis
Python fundamentals, pandas, NumPy, Matplotlib, Seaborn, Plotly, APIs, web scraping, and report automation.
Module 10: Data Wrangling, Data Quality & EDA (with R)
Data quality audits, missing data, outliers, feature engineering, exploratory data analysis, R tidyverse and ggplot2.
Module 11: Predictive Analytics & Machine Learning
Regression, classification, clustering, customer segmentation, market basket analysis, and time-series forecasting with scikit-learn and Prophet.
Module 12: Domain Analytics
Business, marketing (GA4), financial, HR, supply chain, and health analytics with real KPIs.
Module 13: Cloud Analytics & the Modern Data Stack
Google BigQuery, Microsoft Fabric, Databricks SQL, ELT, dbt concepts, and Git/GitHub.
Module 14: AI-Augmented Data Analysis
Prompting AI for SQL, DAX and Python; Copilot in Excel and Power BI; verifying AI outputs; workflow automation.
Module 15: Data Governance, Privacy & Ethics
Data governance, Nigeria Data Protection Act 2023, GDPR, security, anonymisation and data quality management.
Module 16: Certification Preparation Bootcamp
Domain reviews, practice questions and timed mock exams for PL-300, CompTIA Data+, Google, Tableau, IBM and Databricks.
Modules 17–20: Career Launch
Capstone project and Demo Day, portfolio building, LinkedIn optimisation and remote job placement assistance.
Hands-On Tasks, Live Projects & Capstone
Every module includes real workplace tasks, a module project, and a live project. Examples of what you will build:
- An interactive Excel sales dashboard for a multi-branch retail business
- A statistical report on food price inflation across Nigerian states
- A fintech transactions analysis using advanced SQL
- A multi-page Power BI report for an energy services company
- A Tableau Public healthcare access dashboard
- A Python real estate price analysis and an automated weekly reporting pipeline
- A customer churn prediction model and a sales demand forecast
- An individual capstone project defended before employers at Demo Day
Data Analyst Certification Preparation
Our data analytics certification preparation is built into the course. You will prepare for the certification that best fits your career goals:
- Microsoft Certified: Power BI Data Analyst Associate (PL-300)
- CompTIA Data+ (DA0-002)
- Google Data Analytics Professional Certificate
- Tableau Desktop Specialist / Tableau Certified Data Analyst
- IBM Data Analyst Professional Certificate
- Databricks Certified Data Analyst Associate
Every graduate also receives the Wedigraf Certified Data Analyst – Certificate of Completion and a digital badge for LinkedIn. (External exam fees are paid to the certification body.)
How to Become a Data Analyst with Wedigraf: Career Launch Support
- Portfolio building: GitHub, Tableau Public and a personal portfolio website showcasing 10+ projects.
- LinkedIn optimisation: keyword-rich headline, About section, Featured projects and a content strategy that attracts recruiters.
- CV & interview preparation: ATS-friendly CV, SQL/Excel/Power BI technical interview practice and mock interviews.
- Remote job placement assistance: remote-work readiness, job search strategy, employer referrals and 3 months of post-programme support.
Roles you can apply for: Data Analyst, Business Intelligence (BI) Analyst, Power BI Developer, Reporting Analyst, Marketing Analyst, Financial Analyst, Operations Analyst and Junior Data Scientist.
Who Is This Data Analysis Course For?
- Complete beginners and graduates who want to learn to be a data analyst
- Career switchers from accounting, banking, engineering, health, education, oil & gas, sales, marketing, and HR
- Professionals who want to turn reports into dashboards and better decisions
- Business owners and managers who want data-driven decisions
- Anyone targeting remote data analyst jobs with local or international companies
Data analyst requirements for this course: a laptop (8GB RAM minimum; Windows preferred for Power BI), basic computer skills, and commitment to the 3-month intensive schedule. No IT degree or prior coding experience is required.
Course Duration & Schedule
The training duration is 3 Months (12 weeks).
Enrol Now
Choose Your Learning Format
Physical (Onsite) Classes at Our Hub (Office):
- Port Harcourt Office: Wedigraf Tech Hub, 2 Chief Ejims Street, off Old Aba Road, Rumuomasi, Port Harcourt, Rivers State, Nigeria
- Uyo Office: Wedigraf Technologies Ltd, 69 Abak Road, Uyo, Akwa Ibom State, Nigeria
Or Enrol for Virtual (Online) Classes — join live, interactive classes from anywhere in Nigeria or abroad. All sessions are recorded.
WhatsApp/Call:07061773925
The training duration is 3 Months.
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Frequently Asked Questions
How long is the data analysis course at Wedigraf Tech Hub?
The course runs for 3 months (12 weeks). Graduates then receive 3 months of job placement support.
Where can I take the data analysis course in Port Harcourt?
Physical classes hold at Wedigraf Tech Hub, 2 Chief Ejims Street, off Old Aba Road, Rumuomasi, Port Harcourt, Rivers State. Classes also hold in Uyo at 69 Abak Road, and online.
Can I take the data analytics course online?
Yes. Virtual (online) classes are live and interactive, follow the same 3-month curriculum, and are recorded so you can review every session.
Do I need a degree or coding experience to become a data analyst?
No. The course starts from the basics and is designed for beginners and career switchers. You only need a laptop, basic computer skills and commitment.
Which data analyst certifications does the course prepare me for?
Microsoft PL-300 (Power BI Data Analyst), CompTIA Data+, Google Data Analytics Professional Certificate, Tableau, IBM Data Analyst and Databricks Data Analyst Associate. You also receive a Wedigraf Certificate of Completion.
What tools will I learn?
Excel, Google Sheets, Power Query, SQL (PostgreSQL, MySQL, SQL Server, BigQuery), Power BI, Tableau, Looker Studio, Python, R, Microsoft Fabric, Databricks, Git/GitHub and AI tools such as Copilot, ChatGPT and Claude.
Will I work on real projects?
Yes. Every module includes hands-on tasks, a module project and a live client project, and you finish with an individual capstone presented at Demo Day.
Do you help with remote data analyst jobs?
Yes. We provide portfolio building, LinkedIn optimisation, CV and interview preparation, employer referrals, and 3 months of remote job placement assistance after the course.
