Data Analyst Career Pathway

Purpose of the Data Analyst Career Pathway

The Data Analyst career pathway is designed to develop critical analytical skills required to collect, process, and interpret data for strategic decision-making. This structured programme guides learners through foundational and advanced topics, including database theory, Python programming, AI literacy, and data visualisation using Microsoft Power BI.

By the end of the pathway, participants will be able to analyse large datasets, identify trends, and present actionable insights using industry-standard tools. The programme also provides official certifications to validate your skills and boost your career credibility.

Data Analyst Pathway Training Components

Introduction to Databases (E-Learning)
Study Time: 20 hours
Covers essential database concepts — including how data is stored, structured, and queried — providing a vital foundation for analytics.

Introduction to Python (E-Learning)
Study Time: 20 hours
Introduces Python programming with a focus on data manipulation and analysis, essential for building scripts and automating tasks.

Microsoft Azure Data Fundamentals (DP-900) – Live Webinar
Study Time: 40 hours online + 2-day live training
Explores data services in Azure and introduces concepts such as relational and non-relational data, big data, and data analytics tools.

Microsoft Azure AI Fundamentals (AI-900) – E-Learning
Study Time: 40 hours
Provides an understanding of AI and machine learning concepts and how they're applied in real-world business scenarios using Azure.

Microsoft Power BI Data Analyst (PL-300) – Live Webinar
Study Time: 40 hours online + 3-day live training
Equips learners with skills in data modelling, cleaning, and visualising data with Power BI to generate interactive reports and dashboards.

Target Audience

This pathway is ideal for:

• Aspiring data analysts with little to no background

• IT professionals transitioning into data roles

• Business professionals looking to upskill in data-driven decision-making

• Individuals seeking a career in analytics, reporting, or business intelligence

Why Pursue a Career in Data Analysis?

Foundational to Advanced Skills:
Gain the core skills required to collect, clean, analyse, and visualise data using real-world tools.

In-Demand Roles Across Industries:
Every sector — from finance to healthcare — needs professionals who can make sense of data and drive decision-making.

Recognised Certifications:
Earn globally respected Microsoft certifications that signal your readiness to employers.

Practical and Career-Focused:
All courses are designed to build job-ready skills through practical use cases and real tools like Power BI and Python.

Career Opportunities

Graduates can pursue roles such as:

• Data Analyst

• Reporting Analyst

• Business Intelligence Analyst

• Junior Data Scientist

• Data Visualisation Specialist

Flexible Learning Options

Online E-Learning:

• Learn at your own pace

• Ideal for self-directed learners

• Beginner-friendly with progression to intermediate topics

Live Webinar Training:

• Real-time classes taught by experts

• Includes interactive sessions and guided labs

• Perfect for those who prefer structure and support

Live Training Schedule Overview

• DP-900: 2-Day Webinar (3-hour sessions)

• PL-300: 3-Day Webinar (6-hour sessions)

Frequently Asked Questions

Do I need prior experience?
No — this pathway is beginner-friendly and starts from the fundamentals.

How long does it take to complete?
Typically 8–12 month depending on your study schedule.

Is it all online?
Yes. All training is delivered online, with a mix of self-paced and optional live webinars.

What certifications will I get?
Official Microsoft certifications for DP-900, AI-900, and PL-300, plus certificates of completion for the introductory courses.