Become Job-Ready in Data Analytics in Just 3 Months

Data Analytics Training Program – Master Python, SQL, Power BI & Machine Learning Online Weekend Training in Lagos, Nigeria

Are you ready to launch or advance your career in the fast-growing field of data analytics? WebCygen’s practical Data Analytics Training Program equips you with the most in-demand skills — Python, SQL, Power BI, and Machine Learning — through hands-on learning and real-world projects. Whether you’re a fresh graduate, career switcher, business professional, or aspiring data analyst in Nigeria, this beginner-friendly program transforms you into a confident, portfolio-ready data professional that employers are actively seeking. Program Duration: 3 Months Format: Live Weekend Classes (Saturdays & Sundays) + Recorded Sessions Level: Beginner to Intermediate Certificate: Yes – Certificate of Completion Awarded

Popular Questions

Why Choose WebCygen Data Analytics Training?

Learn exactly what hiring managers want — from data extraction to building predictive models.

Work on real datasets and capstone projects you can proudly showcase.

Learn from experienced data professionals with industry insights.

Perfect for working professionals and students.

Revisit lessons anytime.

Boost your CV and LinkedIn profile with tangible proof of skills.
5 Progressive Modules

Comprehensive Curriculum –

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Module 1: Python for Data Analytics (~3 weeks)

Master Python programming with a data-first approach. Learn Python fundamentals, NumPy, Pandas for data manipulation, data cleaning techniques, Exploratory Data Analysis (EDA), and stunning visualizations using Matplotlib & Seaborn. Mini-Project: Analyze a real-world dataset.

Module 2: SQL for Data Analysis (~2 weeks)

Become proficient in querying relational databases. Cover SELECT statements, JOINs, GROUP BY, subqueries, window functions, and stored procedures using PostgreSQL or MySQL. Outcome: Extract and analyze business data like a pro.

Module 3: Power BI & Data Visualization (~3 weeks)

Build professional, interactive dashboards and reports. Learn Power Query for data transformation, DAX formulas, connecting multiple data sources, and storytelling with data. Project: Create and publish complete business intelligence dashboards to Power BI Service.

Module 4: Machine Learning Fundamentals (~3 weeks)

Get practical exposure to Machine Learning using Python’s scikit-learn library. Understand supervised & unsupervised learning, regression, classification, clustering, model evaluation, and hyperparameter tuning. No advanced math required – focus is on real application.

Module 5: Capstone & Portfolio Project (~1 week

Tie everything together in a full end-to-end project: SQL data extraction → Python analysis & cleaning → Power BI dashboard → Machine Learning prediction model. Present your project to a panel and receive your Certificate of Completion.

Lets Mould You into Somthing New

What You Will Be Able to Do After This Training

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Clean, analyze, and visualize large datasets using Python
Write advanced SQL queries to drive business insights
Design interactive Power BI dashboards that impress stakeholders
Build and evaluate machine learning models for real business problems
Confidently present data findings to technical and non-technical audiences
Create a strong professional portfolio to stand out in job applications
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Tools You Will Master (All Free to Install)

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