Professional Certifications  ›  Big Data Analytics
IPMC · Data & AI

Big Data Analytics

Collect, process and analyse large datasets with modern big data tools — and turn mountains of data into insight that drives decisions.

IPMC Certificate 10 weeks Intermediate Hands-on labs Instructor-led
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Overview

Every organisation now generates more data than it can handle — and the ones that learn to use it win. Big Data Analytics at IPMC teaches you how to collect, store, process and analyse large-scale data to uncover patterns, predict outcomes and support better decisions.

Through hands-on labs you'll work with real datasets and the tools that power modern analytics — building practical, job-ready skills employers are actively hiring for.

What you'll learn

  • Big data concepts and the analytics ecosystem
  • How to collect, store and pipeline large datasets
  • How to process data at scale
  • Querying and analysing data with SQL
  • Core statistics and analytics techniques
  • Visualisation and dashboards that reveal insight

Course content

What "big data" really means, the analytics ecosystem, and where value comes from.

How large datasets are gathered, stored and moved through data pipelines.

Working with big data processing frameworks to handle volumes a single machine can't.

Use SQL to query, filter and aggregate data and answer real business questions.

The core statistical and analytical techniques that turn data into reliable insight.

Communicate findings clearly with visualisations and interactive dashboards.

Who it's for

This course is ideal for analysts, IT professionals, aspiring data analysts and engineers, and decision-makers who want to work confidently with large-scale data.

Basic comfort with computers and data is helpful; a programming or SQL background is a bonus but not required.

Your certificate

On successful completion, you'll earn an IPMC certificate — recognised by employers across Ghana — along with hands-on experience working with real datasets and tools.

Turn data into decisions.

Enrol in Big Data Analytics, or talk to an advisor about the right course for your goals.