π Data Analyst Project Ideas for Beginners
1. Sales Analysis Dashboard: Use tools like Excel or Tableau to create a dashboard analyzing sales data. Visualize trends, top products, and seasonal patterns.
2. Customer Segmentation: Analyze customer data using clustering techniques (like K-means) to segment customers based on purchasing behavior and demographics.
3. Social Media Metrics Analysis: Gather data from social media platforms to analyze engagement metrics. Create visualizations to highlight trends and performance.
4. Survey Data Analysis: Conduct a survey and analyze the results using statistical techniques. Present findings with visualizations to showcase insights.
5. Exploratory Data Analysis (EDA): Choose a public dataset and perform EDA using Python (Pandas, Matplotlib) or R (tidyverse). Summarize key insights and visualizations.
6. Employee Performance Analysis: Analyze employee performance data to identify trends in productivity, turnover rates, and training effectiveness.
7. Public Health Data Analysis: Use datasets from public health sources (like CDC) to analyze trends in health metrics (e.g., vaccination rates, disease outbreaks) and visualize findings.
8. Real Estate Market Analysis: Analyze real estate listings to find trends in pricing, location, and features. Use data visualization to present your findings.
9. Weather Data Visualization: Collect weather data and analyze trends over time. Create visualizations to show changes in temperature, precipitation, or extreme weather events.
10. Financial Analysis: Analyze a companyβs financial statements to assess its performance over time. Create visualizations to highlight key financial ratios and trends.
Hope it helps :)
1. Sales Analysis Dashboard: Use tools like Excel or Tableau to create a dashboard analyzing sales data. Visualize trends, top products, and seasonal patterns.
2. Customer Segmentation: Analyze customer data using clustering techniques (like K-means) to segment customers based on purchasing behavior and demographics.
3. Social Media Metrics Analysis: Gather data from social media platforms to analyze engagement metrics. Create visualizations to highlight trends and performance.
4. Survey Data Analysis: Conduct a survey and analyze the results using statistical techniques. Present findings with visualizations to showcase insights.
5. Exploratory Data Analysis (EDA): Choose a public dataset and perform EDA using Python (Pandas, Matplotlib) or R (tidyverse). Summarize key insights and visualizations.
6. Employee Performance Analysis: Analyze employee performance data to identify trends in productivity, turnover rates, and training effectiveness.
7. Public Health Data Analysis: Use datasets from public health sources (like CDC) to analyze trends in health metrics (e.g., vaccination rates, disease outbreaks) and visualize findings.
8. Real Estate Market Analysis: Analyze real estate listings to find trends in pricing, location, and features. Use data visualization to present your findings.
9. Weather Data Visualization: Collect weather data and analyze trends over time. Create visualizations to show changes in temperature, precipitation, or extreme weather events.
10. Financial Analysis: Analyze a companyβs financial statements to assess its performance over time. Create visualizations to highlight key financial ratios and trends.
Hope it helps :)
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βΎHANDWRITTEN NOTES βοΈ βΎοΈ
πΊDATA STRUCTURE SHORT NOTES
πΊDATA STRUCTURE
INTERVIEW SERIES πΉ(PART - 1)
πΊDATA STRUCTURE
INTERVIEW SERIES πΉ(PART - 2)
πΊDATA STRUCTURE
INTERVIEW SERIES πΉ(PART - 3)
πΊDBMS (DATABASE MANAGEMENT SYSTEM)NOTES
πΊC PROGRAMMING SHORT NOTES
πΊDATA STRUCTURE SHORT NOTES
πΊDATA STRUCTURE
INTERVIEW SERIES πΉ(PART - 1)
πΊDATA STRUCTURE
INTERVIEW SERIES πΉ(PART - 2)
πΊDATA STRUCTURE
INTERVIEW SERIES πΉ(PART - 3)
πΊDBMS (DATABASE MANAGEMENT SYSTEM)NOTES
πΊC PROGRAMMING SHORT NOTES
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My YOUTUBE HANDLE-
https://youtu.be/BSAh7nCzYyQ?si=ENogZEVFY_XawsNK
https://youtu.be/BSAh7nCzYyQ?si=ENogZEVFY_XawsNK
Follow karke rakho..Future me kuch bhi help chaye to Ya dosti hi rakhni ho to !!
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π° What Is MERN?
MERN Stack is a Javascript Stack that is used for easier and faster deployment of full-stack web applications. MERN Stack comprises of 4 technologies namely: MongoDB, Express, React and Node.js. It is designed to make the development process smoother and easier.
π° MongoDB:
MongoDb is a NoSQL DBMS where data is stored in the form of documents having key-value pairs similar to JSON objects. MongoDB enables users to create databases, schemas and tables.
π° ExpressJS
ExpressJS is a NodeJS framework that simplifies writing the backend code. It saves you from creating multiple Node modules.
π° ReactJS
ReactJS is a JS library that allows the development of user interfaces for mobile apps and SPAs. It allows you to code Javascript and develop UI components.
π° NodeJS
NodeJS is an open-source Javascript runtime environment that allows users to run code on the server.
MERN Stack is a Javascript Stack that is used for easier and faster deployment of full-stack web applications. MERN Stack comprises of 4 technologies namely: MongoDB, Express, React and Node.js. It is designed to make the development process smoother and easier.
π° MongoDB:
MongoDb is a NoSQL DBMS where data is stored in the form of documents having key-value pairs similar to JSON objects. MongoDB enables users to create databases, schemas and tables.
π° ExpressJS
ExpressJS is a NodeJS framework that simplifies writing the backend code. It saves you from creating multiple Node modules.
π° ReactJS
ReactJS is a JS library that allows the development of user interfaces for mobile apps and SPAs. It allows you to code Javascript and develop UI components.
π° NodeJS
NodeJS is an open-source Javascript runtime environment that allows users to run code on the server.
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π° JavaScript Tutorial for Beginners: Learn JavaScript in 1 Hour
Watch this JavaScript tutorial for beginners to learn JavaScript basics in one hour.
Watch this JavaScript tutorial for beginners to learn JavaScript basics in one hour.
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π§Ώ Bun is disrupting JavaScript land
Let's take a first look at Bun 1.0 - the worlds fastest JavaScript runtime. Find out how Bun compares to Node.js and Deno.
Let's take a first look at Bun 1.0 - the worlds fastest JavaScript runtime. Find out how Bun compares to Node.js and Deno.
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π§Ώ Bun vs Node.js - Everything You Need To Know!
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π§Ώ Bun Crash Course | JavaScript Runtime, Bundler & Transpiler
In this crash course, we will look at the Bun.js JavaScript runtime/bundler/toolkit. I will show you how to get set up and check out some of the features...
In this crash course, we will look at the Bun.js JavaScript runtime/bundler/toolkit. I will show you how to get set up and check out some of the features...
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βΎHANDWRITTEN NOTES βοΈ βΎοΈ
πΊDATA STRUCTURE SHORT NOTES
πΊDATA STRUCTURE
INTERVIEW SERIES πΉ(PART - 1)
πΊDATA STRUCTURE
INTERVIEW SERIES πΉ(PART - 2)
πΊDATA STRUCTURE
INTERVIEW SERIES πΉ(PART - 3)
πΊDBMS (DATABASE MANAGEMENT SYSTEM)NOTES
πΊC PROGRAMMING SHORT NOTES
πΊDATA STRUCTURE SHORT NOTES
πΊDATA STRUCTURE
INTERVIEW SERIES πΉ(PART - 1)
πΊDATA STRUCTURE
INTERVIEW SERIES πΉ(PART - 2)
πΊDATA STRUCTURE
INTERVIEW SERIES πΉ(PART - 3)
πΊDBMS (DATABASE MANAGEMENT SYSTEM)NOTES
πΊC PROGRAMMING SHORT NOTES
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