Power BI Lab Assignments with Reference Articles
Assignment 1: SampleSuperStore Dashboard
Assignment 2: Result Analysis Dashboard
Assignment 3: COVID-19 Dashboard
Assignment 4: World Population Dashboard
Assignment 5: Customer Spending Behavior Analysis
Assignment 6: Cyber Crime Trend Analysis
Assignment 7: Crime Against Children Analysis
Assignment 8: Geospatial and Demographic Analysis of Indian Census Data Using Power BI via Google Drive Integration
Objective:
To analyze India's demographic and geographic distribution by leveraging Power BI for meaningful insights into population, settlements, and resource density using census data hosted on Google Drive.
To effectively plan resources and infrastructure, policymakers need to analyze population distribution, settlement types, and density across Indian states. This project guides students to use Power BI to connect live census data stored on Google Drive, transform the dataset using Power Query, and create a visual demographic report.
Assignment 9: Weather Analysis and Forecasting in Power BI
Problem Statement:Accurate weather forecasting remains a challenge due to the dynamic and complex nature of atmospheric conditions. This project aims to analyze historical weather data to identify key patterns and build predictive models that can forecast weather parameters such as temperature, humidity, and precipitation with greater reliability.
Assignment 10: Analyze Historical Stock Data of Tesla Stock in Power BI
Problem Statement: Analyze historical stock data to extract actionable insights about price behavior, volatility, trading activity, and relationships between price and volume. Students will transform and normalize the data, create analytical measures and visuals, and build an interactive Power BI report using both basic and advanced visuals (decomposition tree, drillthrough, bookmarks, selection pane, gauge, custom tooltips, Smart Narrations).
Assignment 11 : Mini Project Based on the dataset prepared by you
Assignment 12 : Power BI Project on Indian Kids Screen Time
Problem Statement:Analyze BHEL’s stock price trends and trading behavior over time. Identify patterns in daily price changes, volatility, and trading volume. Develop insights through advanced calculations and visualizations, including moving averages, cumulative returns, gain/loss classification, and forecast future stock prices to support informed investment decisions.
The dataset contains historical stock data for BHEL, including daily records of Open, High, Low, Close, Adjusted Close prices, and trading Volume from 2020 onwards. Each row represents one trading day, capturing market movements and trading activity.
Assignment 14: Power BI Project on Healthcare Dataset
Problem Statement
Columns:
Name, Age, Gender, Blood Type, Medical Condition, Date of Admission, Doctor, Hospital, Insurance Provider, Billing Amount, Room Number, Admission Type, Discharge Date, Medication, Test Results
Assignment 15: Power BI Project on IPL Auction Dataset
Problem Statement
The Indian Premier League (IPL) franchises often face the challenge of building a balanced team while staying within their budget constraints. Teams must evaluate players based on their roles (Batsman, Bowler, All-Rounder, Wicket Keeper), nationality (Indian vs Overseas), and price paid during the auction to optimize performance.
This dataset provides details of a few players purchased by Chennai Super Kings (CSK), including their name, nationality, type, price, and team. The key problem is to analyze how the composition of players affects the team structure and to explore insights such as:
Distribution of Indian vs Overseas players.
Balance of roles (Batsman, All-Rounder, Wicket Keeper, etc.).
Price allocation strategy across player categories.
Identifying potential areas of overspending or underspending.
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