Data Analyst

Microsoft Data Analyst Microdegree

Master Power BI, Azure, Fabric & Data Analytics | Earn 9 ECTS Credits + Globally Recognized Certificates

Overview

Data Analyst Course in Faisalabad – Acme Skills

In today’s data-driven economy, organizations rely on skilled professionals who can transform raw information into actionable insights. Acme Skills brings you the Microsoft Data Analyst Microdegree in Faisalabad—a comprehensive, internationally recognized program jointly delivered by Microsoft, KAMK University of Applied Sciences (Finland), and certified global tech mentors. This self-paced program equips you with real-world skills in Power BI, Azure, Microsoft Fabric, Databricks, SQL, and Python—while earning 9 ECTS credits recognized across Europe and beyond.
 

Why Choose the Data Analyst Microdegree at Acme Skills?

  • 🌍 Globally Recognized Credentials: 6 Course Certificates + 1 Professional Certificate from Microsoft & KAMK University
  • 🎓 9 ECTS Credits: European transferable credits for higher studies or global job markets
  • 📊 Industry-Standard Tools: Master Power BI, Azure, Fabric, Databricks, SQL & Python
  • 💼 Job-Ready Skills: From data preparation to advanced visualization and machine learning basics
  • 👨‍🏫 Flexible & Self-Paced: 243 hours of browser-based learning with 12-month LMS access
  • 📱 Zero Setup Required: Learn online on any laptop, tablet, or smartphone with internet
  • 🎯 Region-Specific Mentorship: Live guidance from certified data analytics professionals
 

Career Opportunities After Completion

Graduates of the Data Analyst Microdegree are equipped for high-demand roles in Pakistan and internationally:
 
  • Data Analyst: Transform structured & unstructured data into actionable insights and reports
  • Business Intelligence Analyst: Build dashboards and visualizations for strategic decision-making
  • Data Specialist / Data Associate: Manage and prepare large datasets for analysis
  • Reporting Analyst: Develop automated reporting systems using Power BI
  • Junior Data Scientist: Assist in building and deploying machine learning models
  • Cloud Data Professional: Work with Azure, Fabric, and Databricks for enterprise data solutions
 

Why Faisalabad Students Trust Acme Skills

Acme Skills has become a trusted name for professional tech training in Pakistan. Our Microsoft Data Analyst Microdegree is delivered in partnership with HAZZA Institute of Technology, our exclusive authorized academic partner. We provide structured mentorship, hands-on projects, and career guidance to ensure you successfully complete your ECTS credits and professional certifications. With industry-aligned content, real-world scenarios, and a focus on global employability, we prepare you for the international data analytics job market.

 

Earn Globally Accepted Credentials

  • 📜 6 Course Completion Certificates (Microsoft + KAMK University)
  • 🏆 Data Analyst Professional Certificate (Microsoft + KAMK University)
  • 🔗 Shareable LinkedIn Skill Badge + QR-Verifiable Digital Credentials
  • 🎓 Official 9 ECTS Credit Transcript from KAMK University of Applied Sciences, Finland
  • Globally Recognized for employment and higher education in

Ready to turn data into decisions that drive business growth?

Program Structure & Syllabus

6 Courses | 243 Hours | 9 ECTS Credits

1. Exploring Microsoft Azure (54h | 2 ECTS) +

  • Azure fundamentals: physical and management infrastructure
  • Computing services, virtual networking, and storage
  • Data migration, authentication, and authorization
  • Conditional access and identity protection
  • Governance, compliance, and resource management
  • Cost management and Azure Arc
  • Project management in cloud environments

2. Exploring Artificial Intelligence (54h | 2 ECTS) +

  • AI & machine learning fundamentals: supervised & unsupervised learning
  • Computer vision, facial recognition, character recognition
  • Natural language processing, conversational AI, Azure AI Speech
  • Generative AI, Azure OpenAI, AI Copilots, document intelligence
  • Ethics and responsible AI practices

3. Exploring Data & Analytics (27h | 1 ECTS) +

  • Foundational data concepts: identifying data, databases, processing
  • Relational & non-relational data, Azure Cosmos DB basics
  • Large-scale analytics, real-time analytics, data visualization in Azure
  • Data roles and services in cloud environments

4. Data Analytics with Power BI (27h | 1 ECTS) +

  • Getting started with data analytics and Power BI interface
  • Preparing, cleaning, and simplifying data for analysis
  • Modeling essential structures, semantic models, DAX, measures
  • Visualizing report design, filters, analytics, dashboards
  • Managing workspaces, datasets, and row-level security

5. Data Analytics with Azure (54h | 2 ECTS) +

  • Introduction to Azure Machine Learning and workspace management
  • Getting into machine learning: designing training solutions and model deployment
  • Experimenting and optimizing models: classification, hyperparameters, pipelines
  • Optimizing and deploying models: MLflow, responsible AI, online/batch endpoints

6. Data Analytics with Fabric (27h | 1 ECTS) +

  • Introduction to Microsoft Fabric: end-to-end analytics and lakehouses
  • Apache Spark and Microsoft Fabric, Delta Lake tables
  • Orchestrating processes, data movement, real-time intelligence
  • Working with semantic models, data warehouses, and Purview governance
  • Data science with notebooks, MLflow models, and batch predictions
  • Administration, security, and governance of Fabric environments

Course Details +

  • Duration: 12-month LMS access (average completion: 3–5 months)
  • Total Hours: 243 hours (219 hours online learning + 24 hours supervised mentorship)
  • Format: 100% online, self-paced, browser-based (no downloads required)
  • Assessment: Pass/fail assignments and exams
  • Language: English (all content, assignments, and mentorship)
  • Eligibility: Open to all. Prior knowledge not required. Basic IT awareness helpful
  • Requirements: Laptop, tablet, or smartphone with stable internet access

What You Will Learn +

  • Identify, store, and manage both relational and non-relational data in Microsoft Azure
  • Prepare, clean, model, and visualize data using Power BI for impactful reporting
  • Apply statistical techniques and exploratory analysis to uncover trends and correlations
  • Design interactive dashboards and automated reports for business stakeholders
  • Work with Microsoft Fabric and Databricks for end-to-end analytics and Delta Lake
  • Understand machine learning fundamentals and deploy models using Azure ML
  • Implement data governance, compliance, and ethical practices for professional work
  • Integrate AI capabilities like NLP and computer vision to enrich data insights
  • Earn 9 ECTS credits + professional certification recognized globally

Study Program Goals

 

Upon completion of the Data Skills Study Program, you will be well-prepared to further enhance your understanding of data’s crucial role in modern society. This program will also equip you to confidently tackle Microsoft’s official data-related certification exams, such as AZ-900, DP-900, and AI-900. You can find out more about the Microsoft certifications on  Microsoft’s website.

Additionally, you’ll receive shareable badges upon finishing each study path as well as the whole program (a maximum of three badges in total), allowing you to showcase your newly acquired skills.