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NotesBCAData Visualization Laboratory
UGDSE104

Data Visualization Laboratory Notes

Program:BCA
Semester:Semester 4
Credits:1
Units:1 Units

Subject Overview

The practical companion to Data Visualization, building end-to-end Power BI skills — interface basics, Power Query data transformation, data modeling and relationships, chart creation and formatting, and publishing/sharing interactive reports. A 1-credit elective lab paper.

Subject at a glance

1

Units

14

Topics

1

Credits

1

Infographics

Unit-wise Syllabus

1 units — open any unit for detailed topic-wise notes, diagrams and important exam questions

1

Unit 1: Power BI from import to publishing

  • Power BI interface overview
  • importing data from Excel/CSV and multiple sources
  • basic report creation
  • Power Query Editor for cleaning
  • transforming
  • merging and appending data
  • custom and calculated columns
  • creating table relationships
  • resolving data inconsistencies
  • calculated measures
  • chart creation and formatting
  • publishing to Power BI Service
  • sharing reports
  • data refresh schedules and permissions
ProcessPower BI workflow
  1. 1Get data

    Excel, CSV, databases

  2. 2Transform

    Power Query cleaning

  3. 3Model

    Relationships and measures (DAX)

  4. 4Visualise

    Charts and slicers

  5. 5Publish

    Share on Power BI Service

Study guide

The lab takes you through a complete Power BI workflow: the interface, importing data from Excel, CSV and multiple sources, basic reports, Power Query for cleaning, transforming, merging and appending data, custom and calculated columns, relationships between tables, resolving data inconsistencies, calculated measures, chart creation and formatting, and publishing to Power BI Service with sharing, refresh schedules and permissions. Build one report from messy raw data to published dashboard to practise the whole chain.

Read Unit 1 notes

Why Data Visualization Laboratory Matters

Power BI is one of the most requested business-intelligence tools, and a published dashboard is a strong portfolio piece for analyst roles.

How to Prepare for Data Visualization Laboratory

  • Practise cleaning data in Power Query before building visuals.
  • Learn the basics of DAX measures, as they are central to Power BI.
  • Keep one finished dashboard as part of your portfolio.

Data Visualization Laboratory: Frequently Asked Questions

What is covered in the Data Visualization lab?

Importing and cleaning data in Power BI, modelling relationships, creating measures and charts, and publishing and sharing reports.

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