The document outlines various data analyst projects, detailing the processes involved in generating insights across different domains, including sales, sports analytics, HR performance, and real-time data scraping. It describes steps such as data collection, cleaning, analysis, model building, and dashboard creation. Each project also highlights specific techniques like SQL queries, predictive modeling, and visualization to deliver actionable business insights.

2. Data Analyst Projects
Dashboard to Find Top Skills of Common Roles in Data Science

3. Data Analyst Projects
Dashboard to Find Top Skills of Common Roles in Data Science
04
03
02
01 05 06
Collect Job
Data
Data Cleaning
and
Preprocessing
Extract Top
Skills
Aggregate
Skill Data by
Role
Build the
Dashboard
Add Visuals
and
Interactivity

4. Data Analyst Projects
Generating Sales Insights for a Consumer Goods Company Using SQL

5. Data Analyst Projects
04
03
02
01 05 06
Set Up The
Database
Data
Exploration
Clean the
Data
Write
Aggregation
Queries
Analyze Key
Metrics
Create a
Dashboard
Generating Sales Insights for a Consumer Goods Company Using SQL
SQL
Aggregate
Functions
Specific
queries to
find
insights

6. Data Analyst Projects
T20 World Cup Cricket Data Analytics

7. Data Analyst Projects
04
03
02
01 05 06
Gather
Cricket Data
Clean the Data Feature
Engineering
Data Analysis Build
Predictive
Models
Present
Findings
T20 World Cup Cricket Data Analytics
Create New
Features

8. Data Analyst Projects
HR Analytics to Track Employee Performance

9. Data Analyst Projects
04
03
02
01 05 06
Collect HR
Data
Preprocess
the Data
Analyze Key
Metrics
Build
Visualizations
Identify
Patterns
and Trends
Create a
Dashboard
HR Analytics to Track Employee Performance
Employee
Performance
Data
Factors
Affecting
Performance

10. Data Analyst Projects
Real-Time Share Price Scraping and Analysis

11. Data Analyst Projects
04
03
02
01 05 06
Set Up Web
Scraping
Automate
Data
Collection
Store the
Data
Analyze
Trends
Build a Real-
Time
Dashboard
Add
Notifications
Real-Time Share Price Scraping and Analysis
Python’s
schedule
library, CRON

12. Data Analyst Projects
Time Series Analysis with Stock Price Data

13. Data Analyst Projects
04
03
02
01 05 06
Gather
Historical
Stock Data
Preprocess the
Data
Explore
Trends and
Seasonality
Apply Time
Series Models
Evaluate
Model
Performance
Visualize
Forecasts
Time Series Analysis with Stock Price Data

14. Data Analyst Projects
Housing Price Analysis & Predictions

15. Data Analyst Projects
04
03
02
01 05 06
Gather Data Data Cleaning
and
Preprocessing
Exploratory
Data
Analysis
Build a
Predictive
Model
Evaluate
Model
Performance
Present
Results
Housing Price Analysis & Predictions

16. Data Analyst Projects
Market Basket Analysis

17. Data Analyst Projects
04
03
02
01 05 06
Collect
Transaction
Data
Data
Preprocessing
Apply
Association
Rule Mining
Generate Rules Visualize
Results
Provide
Business
Insights
Market Basket Analysis
Extract rules
with metrics
Apriori
Algorithm,
mlxtend
Library

18. Data Analyst Projects
Anomaly Detection in Time Series Data

19. Data Analyst Projects
04
03
02
01 05 06
Collect Time
Series Data
Preprocess the
Data
Apply
Anomaly
Detection
Algorithms
Visualize
Anomalies
Evaluate
Accuracy
Create a
Report
Z-score,
Isolation
Forest
Anomaly Detection in Time Series Data

20. Data Analyst Projects
Air Quality Data Analysis and Dynamic Visualizations

21. Data Analyst Projects
04
03
02
01 05 06
Gather Air
Quality
Data
Clean and
Process Data
Analyze
Pollution
Trends
Build
Visualizations
Create a
Dashboard
Interpret
Results
Air Quality Data Analysis and Dynamic Visualizations
Government
data sources ,
API’s