Top 10 Data Analyst Projects For 2025 | Data Analyst Projects | Data Analysis Projects | Simplilearn

Nov 29, 20240 likes186 views

In this video, "Top 10 Data Analyst Projects for 2025" from Simplilearn, we dive into the most impactful and trending projects every aspiring and seasoned data analyst should consider. We will guide you through what each project entails, its relevance in the industry, and provide step-by-step instructions on how to get started—from data collection and cleaning to visualization and drawing actionable insights. Whether you’re looking to impress in job interviews, transition into a new role, or simply expand your data skill set, these projects are perfect for keeping you ahead in 2025.

Top 10 Data Analyst Projects For 2025 | Data Analyst Projects | Data Analysis Projects | Simplilearn

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

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

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

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

Data Analyst Projects
T20 World Cup Cricket Data Analytics

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

Data Analyst Projects
HR Analytics to Track Employee Performance

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

Data Analyst Projects
Real-Time Share Price Scraping and Analysis

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

Data Analyst Projects
Time Series Analysis with Stock Price Data

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

Data Analyst Projects
Housing Price Analysis & Predictions

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

Data Analyst Projects
Market Basket Analysis

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

Data Analyst Projects
Anomaly Detection in Time Series Data

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

Data Analyst Projects
Air Quality Data Analysis and Dynamic Visualizations

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

This document discusses business intelligence architecture and concepts. It covers topics like analysis services, SQL Server, data mining, integration services, and enterprise BI strategy and vision. It provides overviews of Microsoft's BI platform, conceptual frameworks, dimensional modeling, ETL processes, and data visualization systems. The goal is to improve organizational processes by providing critical business information to employees.

Introduction to Business Analytics and ToolsKristu Jayanti College, Bengaluru

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Tableau 2018 - Introduction to Visual analyticsArun K

This document provides an overview of a visual analytics course using Tableau. The course structure includes modules on Tableau Desktop foundations, exploratory data analysis, creating analytics dashboards, advanced predictive analytics with R programming, and completing visual analytics projects. Learners will gain skills in exploratory data analytics, building dashboards, predictive analytics, and developing a project portfolio. Case studies will cover topics like geo-data analysis, customer segmentation, and price index analysis. The importance of visual analytics and Tableau for industries like sales, marketing, and finance is also discussed.

Meetup Data-science OVHVincent Terrasi

This document discusses data organization and big data architecture. It covers data organization topics like line of business, data office, data maturity levels, and a data maturity matrix. It then discusses big data architecture, including the roles of data scientists, analysts, engineers and more. Tooling and infrastructure are also summarized, like Hadoop, Spark, Kafka and data lakes. The document aims to provide an overview of how to structure and analyze large volumes of organizational data at multiple levels of maturity.

Reporting with cloud solutions from SAPAndreas Eißmann

The document discusses reporting capabilities with SAP cloud solutions. It describes SAP's analytics concept and the types of reporting objects like data sources, reports, key figures, and characteristics. It outlines the integrated analytics capabilities for editing existing reports, designing new reports and data sources, and integrating reports with Microsoft Excel. It also discusses interfaces for connecting external analytics systems and retrieving analytics data using OData web services.

Building Bi Dashboards With SasOptum

Data Analytics Certification | IABAC CertificationSeenivasan

Business process modeling and analysis for data warehouse designSlava Kokaev

The document discusses business process modeling and analysis for data warehouse design. It provides an overview of key concepts like business intelligence, business processes, dimensional modeling and ETL. The document presents examples of modeling dimensions, hierarchies and fact tables to design a dimensional schema for a reseller sales scenario. It also shows examples of identifying business processes and mapping them to the dimensional model for analysis in a data warehouse.

Microsoft SQL Server - BI Consolidation PresentationMicrosoft Private Cloud

This document provides an outline for a presentation on Microsoft's Business Intelligence (BI) consolidation capabilities. The presentation aims to provide an overview of Microsoft's BI vision and the key benefits of consolidation, using case studies and customer evidence. The presentation outline covers common BI challenges organizations face with multiple disconnected tools, and how Microsoft's integrated BI platform addresses these challenges through a single consolidated view, reduced costs, improved collaboration and efficiency.

Leveraging MS BI Toolset to Monitor Performance - TechFuse 2010Dan English

There are many different pieces in the Microsoft BI toolset. In this session, we will take a look at all of the different pieces and utilize each of them to create a unified dashboard, where each component is being leveraged. The tools that will be utilized during this session will include SQL Server 2008, SSRS 2008, SSAS 2008, Excel 2007, Excel Services, PPS 2007, Dashboard Designer, SharePoint Server 2007 and more.

Introducing microsoft bi toolsCMR WORLD TECH

CVEr Chandan Sharma

Business intelligenceQuang Nguyễn Bá

A BI system gathers data from multiple sources, transforms the data for consistency, and stores it in a single location for analysis and decision making. The data is extracted from sources, processed for integration, and loaded into dimensional data marts and data warehouses for analysis. Dimensions contain attributes and hierarchies that are analyzed together with measures stored in fact tables. Multidimensional OLAP enables interactive analysis of measures across various dimension attributes and hierarchies.

Business intelligence architectureSlava Kokaev

This document provides an overview of business intelligence and outlines a conceptual framework for designing a business intelligence system driven by business processes. It discusses understanding the business system, defining business processes and requirements, technical design including databases and ETL, and developing BI applications to optimize operations, analyze and control business processes, and monitor business performance. An example sales process is described to illustrate how the framework can be applied.

1_2 Business Analytics Overview.pptxrobert141042

This document provides an overview of business intelligence and analytics (BI&A). It discusses the objectives and definition of BI&A, as well as key components like business requirements, data warehousing, data analysis, and business analytics. It also provides a historical perspective on analytics and discusses maturity models. Examples are given of how Netflix, Moneyball, and Capital One have successfully used analytics for competitive advantage.

Customer Insights in An Hour - Summit EMEA 2020Nico Fernandez

Enhancing Relevancy & End User Experience with SharePoint SearchGina Montgomery, V-TSP

Gina Montgomery presented on enhancing relevance and user experience with SharePoint search. The presentation covered information architecture, SharePoint search components and features like result sources, result types, query rules and display templates. It demonstrated hybrid search which allows searching across SharePoint on-premises and Office 365 content. Finally, it introduced Delve which surfaces personalized content from across Office 365 for more relevant search experiences.

Microsoft BI reporting capabilities (on-prem solutions) Presentationjeromedoyen

Predictive Data Analytics and Artificial Intelligence by 40°40° Labor für Innovation

Data Science Resources for Project and Product ManagersBrian Lynch

Building Bi Dashboards With SAS Gauges and SAS BI Portalsimienc

Customer insights in an hour - AI & Chatbot SaturdayNico Fernandez

This document provides an overview and agenda for an introduction to Microsoft's Customer Data Platform (CDP) and Customer Insights product. The agenda includes understanding different architecture scenarios, how to work with customer data in Customer Insights, and integration scenarios with Dynamics 365 and Power Platform. Key benefits of Customer Insights are also summarized such as getting a unified view of customer data and enabling personalized customer experiences.

Extend Your MS Dynamics ERP & CRM with a Complete BI Solutionwww.panorama.com

Data Alchemy Overview Presentation (Static Version)Mark Rubenstein

The document summarizes DataAlchemy, a data analytics solution from alqemyiQ. DataAlchemy allows users to import data from multiple sources, create custom segments and measures, and generate automated reports and presentations. It offers speed of implementation, insights, and results by integrating disparate data and distributing outputs through PowerPoint and Excel. Future plans include an enterprise architecture with additional reporting and access control capabilities.

portfolio of products and processesMark Stempski, Ph.D.

Make Your Decisions Smarter With MsbiEdureka!

As we move from experience and intuition based decision making to factual decision making, it is increasingly important to capture data and store it in a way that allows us to make smarter decisions. This is where Data warehouse/Business Intelligence comes into picture. There is a huge demand for There is a huge demand for Business Intelligence professionals and this course acts as a foundation which opens the door to a variety of opportunities in Business Intelligence space. Though there are many vendors providing BI tools, very few of them provide end-end BI suite and huge customer base. Microsoft stands as leader with its user-friendly and cost effective Business Intelligence suite helping customers to get a 360 degree view of their businesses.

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This Simplilearn video on Cyber Security Interview Questions and Answers for 2025 introduces you to the most commonly asked questions in cyber security interviews, along with their detailed answers. Covering key topics such as Networking, Software and Programming, Operating Systems and Applications, Cyberattacks, and Cryptography, this video serves as a valuable resource for your cyber security interview preparation.

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