Applied Data Analysis and Automation

Learn to analyse, visualise, and automate real-world workflows using Python, Excel, SQL, and BI tools. This practitioner-led microcredential blends coding, analytics, and automation to prepare you for data-driven decision-making across business, government, and digital industries.

About the Course

Data is now the language of every profession. This applied course helps you develop the technical and analytical skills employers expect — from working with real datasets to building automated dashboards and reports. Guided by industry practitioners, you’ll move from spreadsheet-based analysis to hands-on Python, SQL, and AI-assisted workflows. Your final assessment is a portfolio-ready analytics project where you’ll clean and analyse a dataset, build a dashboard in Power BI or Tableau, and automate a weekly report — tangible proof of your ability to turn information into decisions.

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Entry Requirments

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No prior coding experience required.

Basic computer skills and familiarity with spreadsheets (Excel or Google Sheets) are recommended. A curiosity for data and problem-solving is all you need to get started.

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Course Topics Include

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Foundations of data literacy, ethics, and real-world data workflows

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Data cleaning and preparation using Excel and Python (pandas)

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Exploratory data analysis (EDA) and descriptive statistics

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Querying and joining datasets with SQL

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Building interactive dashboards in Power BI or Tableau

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Automating reports and workflows using Python and AI tools

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Communicating insights through storytelling and visual design

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Capstone Data Automation Project with mentor feedback and presentation

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Think Maldives: How Data Shapes Tourism & Governance

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Assessment & Certification

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Continuous quizzes & lab submissions (30%)

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Final Automation & Dashboard Project (70%)

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Successful graduates earn a verified 4-credit microcredential (120 learning hours) with transcript and digital badge aligned to EQF Level 5–6.

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Career Outcomes

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Launch or accelerate your path as a Data Analyst, BI Associate, or Digital Operations Specialist.Showcase your capstone project in your portfolio or on LinkedIn to demonstrate real-world data skills employers value.

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Showcase your capstone project in your portfolio or on LinkedIn to demonstrate real-world data skills employers value.

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Level

Beginner

Duration

120 hours

Videos

Files included

Price:

Coming Soon •
Scholarships available for early cohorts

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