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Practical Power BI for DataScience

  • 8 weeks
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Overview
This course provides a beginner-friendly introduction to Power BI, equipping students with the skills to transform raw data into compelling dashboards and interactive reports. With a hands-on approach, learners will explore the complete data-to-decision workflow using Microsoft Power BI—one of the industry’s leading business intelligence platforms.

What You’ll Learn

  • Importing and transforming data using Power Query
  • Building relationships and modeling data
  • Designing visuals, charts, and dashboards
  • Writing basic DAX expressions for calculated columns and measures
  • Publishing and sharing reports on the Power BI Service

Skills You’ll Gain

  • Data cleaning and transformation
  • Visual storytelling and dashboard design
  • Data modeling and metric creation
  • Report automation and sharing

Prerequisite:
None

Course Contents:
Introduction to Power BI interface and workspace; Connecting to Excel, CSV, and SQL data sources; Data transformation using Power Query Editor; Creating relationships between tables; Visualizing data using bar charts, line graphs, maps, cards, slicers, and more; Introduction to DAX: calculated columns, measures, and simple aggregations; Building interactive reports and dashboards; Publishing to Power BI Service and sharing with others; Basic security and data refresh scheduling.

Teaching Methodology:
Hands-on labs, guided tutorials, interactive mini-projects, and real-world business data scenarios.

Reference Material:

  • Microsoft Power BI Documentation (docs.microsoft.com/power-bi)
  • “Analyzing Data with Power BI” by Daniil Maslyuk
  • Power BI Community Resources and Sample Reports (community.powerbi.com)

Ready to Boost Your Skills?

Get in touch today and start your learning journey with us!

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Ms. Maida Khalid

Ms. Maida Khalid is a Senior Lecturer in Software Engineering at Ibadat International University, Islamabad. She holds a Bachelor’s degree in Software Engineering from Foundation University and an MS in Software Engineering from the Military College of Signals, NUST.
With over seven years of teaching experience, she has previously served at The University of Lahore (Islamabad Campus) and has consistently contributed to academic development through project supervision, curriculum planning, and student mentoring. Alongside her academic career, Ms. Khalid is actively engaged in the software industry, currently working as a Project Manager.
Her professional domain includes Machine Learning, Data Science, and project-based software development. She brings real-world industry insights into the classroom, bridging the gap between academic learning and practical implementation. Her dual engagement in academia and industry enhances her ability to mentor students in emerging technologies and applied research.

Ms. Itrat Fatima

Ms. Itrat Fatima is a Lecturer in Computer Science at Capital University of Science and Technology, with an MS in Computer Science from COMSATS University Islamabad (2018). She has over four years of teaching experience, previously serving at the University of Lahore (Islamabad Campus). Her expertise spans Artificial Intelligence, Data Science, Smart Grids, and Machine Learning.
She has supervised numerous Final Year Projects, contributed to research proposals in AI-powered learning, fake news detection, and accessibility, and is actively involved in OBE curriculum design, including CLO-to-PLO mapping and psychomotor domain integration.
Ms. Fatima also leads online tech education at Skill Boost Institute, offering courses in AI, Data Science, Cyber Security, and Freelancing, empowering learners with industry-relevant skills.

Dr. Raja Habib

Dr. Raja Habib is an experienced academic and industry professional with over 12 years of expertise in software engineering, machine learning, and data science. He holds a PhD in Computer Science with a specialization in Machine Learning from CUST and an MS in Software Engineering from M.A.J.U., Pakistan, funded by the HEC Indigenous Scholarship.
Currently serving as an Assistant Professor in the Department of Computing at Shifa Tameer-e-Millat University, Islamabad, Dr. Habib has published several high-impact research papers and supervised numerous MS theses. His strong foundation in both academia and the software industry enables him to deliver practical, research-driven instruction in Machine Learning and Data Science, empowering students to solve real-world challenges effectively.

Register for the July Session

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Account Detail
Bank Name: Faysal Bank
Name: Raja Habib Ullah
Acc No: 3077301000002550