FitbitFitness Tracker Data.zip
4.2 MB
๐ฆ Datasets name: FitbitFitness Tracker Data: Capstone Project
๐ธ This dataset contains personal fitness tracker from thirty three eligible Fitbit users. This dataset was generated by respondents to a distributed survey via Amazon Mechanical Turk between the 12th of April, 2016 and the 12th of May, 2016.
This dataset has been cleaned, formatted with the date & time columns separated into 2 columns (one for date and the other for 24-hr time format) to prepare for the analysis done in SQL and visualisation in Tableau.
๐ Format: CSV file
๐ From: Kaggle
๐ธ This dataset contains personal fitness tracker from thirty three eligible Fitbit users. This dataset was generated by respondents to a distributed survey via Amazon Mechanical Turk between the 12th of April, 2016 and the 12th of May, 2016.
This dataset has been cleaned, formatted with the date & time columns separated into 2 columns (one for date and the other for 24-hr time format) to prepare for the analysis done in SQL and visualisation in Tableau.
๐ Format: CSV file
๐ From: Kaggle
Metaverse Financial Transactions.zip
5.2 MB
๐ฆ Datasets name: Metaverse Financial Transactions
๐ธ This dataset provides blockchain financial transactions within the Open Metaverse, aiming to provide a rich, diverse, and realistic set of data for developing and testing anomaly detection models, fraud analysis, and predictive analytics in virtual environments. With a focus on applicability, this dataset captures various transaction types, user behaviors, and risk profiles across a global network.
๐ Format: CSV file
๐ From: Kaggle
๐ธ This dataset provides blockchain financial transactions within the Open Metaverse, aiming to provide a rich, diverse, and realistic set of data for developing and testing anomaly detection models, fraud analysis, and predictive analytics in virtual environments. With a focus on applicability, this dataset captures various transaction types, user behaviors, and risk profiles across a global network.
๐ Format: CSV file
๐ From: Kaggle
Don't forget to check these 10 SQL projects with corresponding datasets that you could use to practice your SQL skills:
1. Analysis of Sales Data:
(https://www.kaggle.com/kyanyoga/sample-sales-data)
2. HR Analytics:
(https://www.kaggle.com/pavansubhasht/ibm-hr-analytics-attrition-dataset)
3. Social Media Analytics:
(https://www.kaggle.com/datasets/ramjasmaurya/top-1000-social-media-channels)
4. Financial Data Analysis:
(https://www.kaggle.com/datasets/nitindatta/finance-data)
5. Healthcare Data Analysis:
(https://www.kaggle.com/cdc/mortality)
6. Customer Relationship Management:
(https://www.kaggle.com/pankajjsh06/ibm-watson-marketing-customer-value-data)
7. Web Analytics:
(https://www.kaggle.com/zynicide/wine-reviews)
8. E-commerce Analysis:
(https://www.kaggle.com/olistbr/brazilian-ecommerce)
9. Supply Chain Management:
(https://www.kaggle.com/datasets/harshsingh2209/supply-chain-analysis)
10. Inventory Management:
(https://www.kaggle.com/datasets?search=inventory+management)
Share this channel with your friends ๐ค๐คฉ
Join for more -> https://www.tg-me.com/addlist/ID95piZJZa0wYzk5
ENJOY LEARNING ๐๐
1. Analysis of Sales Data:
(https://www.kaggle.com/kyanyoga/sample-sales-data)
2. HR Analytics:
(https://www.kaggle.com/pavansubhasht/ibm-hr-analytics-attrition-dataset)
3. Social Media Analytics:
(https://www.kaggle.com/datasets/ramjasmaurya/top-1000-social-media-channels)
4. Financial Data Analysis:
(https://www.kaggle.com/datasets/nitindatta/finance-data)
5. Healthcare Data Analysis:
(https://www.kaggle.com/cdc/mortality)
6. Customer Relationship Management:
(https://www.kaggle.com/pankajjsh06/ibm-watson-marketing-customer-value-data)
7. Web Analytics:
(https://www.kaggle.com/zynicide/wine-reviews)
8. E-commerce Analysis:
(https://www.kaggle.com/olistbr/brazilian-ecommerce)
9. Supply Chain Management:
(https://www.kaggle.com/datasets/harshsingh2209/supply-chain-analysis)
10. Inventory Management:
(https://www.kaggle.com/datasets?search=inventory+management)
Share this channel with your friends ๐ค๐คฉ
Join for more -> https://www.tg-me.com/addlist/ID95piZJZa0wYzk5
ENJOY LEARNING ๐๐
Free Python certification course from Google that you should not miss in 2024.
Link: https://www.kaggle.com/learn/python
Link: https://www.kaggle.com/learn/python
Free Datasets to practice data science projects
1. Enron Email Dataset
Data Link: https://www.cs.cmu.edu/~enron/
2. Chatbot Intents Dataset
Data Link: https://github.com/katanaml/katana-assistant/blob/master/mlbackend/intents.json
3. Flickr 30k Dataset
Data Link: https://www.kaggle.com/hsankesara/flickr-image-dataset
4. Parkinson Dataset
Data Link: https://archive.ics.uci.edu/ml/datasets/parkinsons
5. Iris Dataset
Data Link: https://archive.ics.uci.edu/ml/datasets/Iris
6. ImageNet dataset
Data Link: http://www.image-net.org/
7. Mall Customers Dataset
Data Link: https://www.kaggle.com/shwetabh123/mall-customers
8. Google Trends Data Portal
Data Link: https://trends.google.com/trends/
9. The Boston Housing Dataset
Data Link: https://www.cs.toronto.edu/~delve/data/boston/bostonDetail.html
10. Uber Pickups Dataset
Data Link: https://www.kaggle.com/fivethirtyeight/uber-pickups-in-new-york-city
11. Recommender Systems Dataset
Data Link: https://cseweb.ucsd.edu/~jmcauley/datasets.html
Source Code: https://bit.ly/37iBDEp
12. UCI Spambase Dataset
Data Link: https://archive.ics.uci.edu/ml/datasets/Spambase
13. GTSRB (German traffic sign recognition benchmark) Dataset
Data Link: http://benchmark.ini.rub.de/?section=gtsrb&subsection=dataset
Source Code: https://bit.ly/39taSyH
14. Cityscapes Dataset
Data Link: https://www.cityscapes-dataset.com/
15. Kinetics Dataset
Data Link: https://deepmind.com/research/open-source/kinetics
16. IMDB-Wiki dataset
Data Link: https://data.vision.ee.ethz.ch/cvl/rrothe/imdb-wiki/
17. Color Detection Dataset
Data Link: https://github.com/codebrainz/color-names/blob/master/output/colors.csv
18. Urban Sound 8K dataset
Data Link: https://urbansounddataset.weebly.com/urbansound8k.html
19. Librispeech Dataset
Data Link: http://www.openslr.org/12
20. Breast Histopathology Images Dataset
Data Link: https://www.kaggle.com/paultimothymooney/breast-histopathology-images
21. Youtube 8M Dataset
Data Link: https://research.google.com/youtube8m/
Join for more -> https://www.tg-me.com/addlist/ID95piZJZa0wYzk5
ENJOY LEARNING ๐๐
1. Enron Email Dataset
Data Link: https://www.cs.cmu.edu/~enron/
2. Chatbot Intents Dataset
Data Link: https://github.com/katanaml/katana-assistant/blob/master/mlbackend/intents.json
3. Flickr 30k Dataset
Data Link: https://www.kaggle.com/hsankesara/flickr-image-dataset
4. Parkinson Dataset
Data Link: https://archive.ics.uci.edu/ml/datasets/parkinsons
5. Iris Dataset
Data Link: https://archive.ics.uci.edu/ml/datasets/Iris
6. ImageNet dataset
Data Link: http://www.image-net.org/
7. Mall Customers Dataset
Data Link: https://www.kaggle.com/shwetabh123/mall-customers
8. Google Trends Data Portal
Data Link: https://trends.google.com/trends/
9. The Boston Housing Dataset
Data Link: https://www.cs.toronto.edu/~delve/data/boston/bostonDetail.html
10. Uber Pickups Dataset
Data Link: https://www.kaggle.com/fivethirtyeight/uber-pickups-in-new-york-city
11. Recommender Systems Dataset
Data Link: https://cseweb.ucsd.edu/~jmcauley/datasets.html
Source Code: https://bit.ly/37iBDEp
12. UCI Spambase Dataset
Data Link: https://archive.ics.uci.edu/ml/datasets/Spambase
13. GTSRB (German traffic sign recognition benchmark) Dataset
Data Link: http://benchmark.ini.rub.de/?section=gtsrb&subsection=dataset
Source Code: https://bit.ly/39taSyH
14. Cityscapes Dataset
Data Link: https://www.cityscapes-dataset.com/
15. Kinetics Dataset
Data Link: https://deepmind.com/research/open-source/kinetics
16. IMDB-Wiki dataset
Data Link: https://data.vision.ee.ethz.ch/cvl/rrothe/imdb-wiki/
17. Color Detection Dataset
Data Link: https://github.com/codebrainz/color-names/blob/master/output/colors.csv
18. Urban Sound 8K dataset
Data Link: https://urbansounddataset.weebly.com/urbansound8k.html
19. Librispeech Dataset
Data Link: http://www.openslr.org/12
20. Breast Histopathology Images Dataset
Data Link: https://www.kaggle.com/paultimothymooney/breast-histopathology-images
21. Youtube 8M Dataset
Data Link: https://research.google.com/youtube8m/
Join for more -> https://www.tg-me.com/addlist/ID95piZJZa0wYzk5
ENJOY LEARNING ๐๐
Data Cleaning Checklist:
If you're just starting out in the world of data analytics, hopefully this checklist helps demystify the concept of "data cleaning"...
โ Missing data - Decide if youโre going to omit the datapoint, mathematically estimate the missing data using statistical methods, or use an external source to fill in the missing data.
โ Duplicate data - Identify duplicate data and what it means in context. Is the duplicate an error that needs to be deleted? Or is it possible that you could have two of the same data point?
โ Formatting errors - Ensure all data is rounded to the correct decimal place, all data is aligned correctly, and the data format is consistent within columns.
โ Incorrect data types - Ensure all of your data is pulled as the correct data type (ex. making sure that integers are not used for money values).
โ Outliers - Identify data points that are +/- 2 standard deviations from the mean, and double check that these values are correct. If they are correct, they may require further investigation.
If you're just starting out in the world of data analytics, hopefully this checklist helps demystify the concept of "data cleaning"...
โ Missing data - Decide if youโre going to omit the datapoint, mathematically estimate the missing data using statistical methods, or use an external source to fill in the missing data.
โ Duplicate data - Identify duplicate data and what it means in context. Is the duplicate an error that needs to be deleted? Or is it possible that you could have two of the same data point?
โ Formatting errors - Ensure all data is rounded to the correct decimal place, all data is aligned correctly, and the data format is consistent within columns.
โ Incorrect data types - Ensure all of your data is pulled as the correct data type (ex. making sure that integers are not used for money values).
โ Outliers - Identify data points that are +/- 2 standard deviations from the mean, and double check that these values are correct. If they are correct, they may require further investigation.
5 Handy Tips to master Data Science โฌ๏ธ
1๏ธโฃ Begin with introductory projects that cover the fundamental concepts of data science, such as data exploration, cleaning, and visualization. These projects will help you get familiar with common data science tools and libraries like Python (Pandas, NumPy, Matplotlib), R, SQL, and Excel
2๏ธโฃ Look for publicly available datasets from sources like Kaggle, UCI Machine Learning Repository. Working with real-world data will expose you to the challenges of messy, incomplete, and heterogeneous data, which is common in practical scenarios.
3๏ธโฃ Explore various data science techniques like regression, classification, clustering, and time series analysis. Apply these techniques to different datasets and domains to gain a broader understanding of their strengths, weaknesses, and appropriate use cases.
4๏ธโฃ Work on projects that involve the entire data science lifecycle, from data collection and cleaning to model building, evaluation, and deployment. This will help you understand how different components of the data science process fit together.
5๏ธโฃ Consistent practice is key to mastering any skill. Set aside dedicated time to work on data science projects, and gradually increase the complexity and scope of your projects as you gain more experience.
1๏ธโฃ Begin with introductory projects that cover the fundamental concepts of data science, such as data exploration, cleaning, and visualization. These projects will help you get familiar with common data science tools and libraries like Python (Pandas, NumPy, Matplotlib), R, SQL, and Excel
2๏ธโฃ Look for publicly available datasets from sources like Kaggle, UCI Machine Learning Repository. Working with real-world data will expose you to the challenges of messy, incomplete, and heterogeneous data, which is common in practical scenarios.
3๏ธโฃ Explore various data science techniques like regression, classification, clustering, and time series analysis. Apply these techniques to different datasets and domains to gain a broader understanding of their strengths, weaknesses, and appropriate use cases.
4๏ธโฃ Work on projects that involve the entire data science lifecycle, from data collection and cleaning to model building, evaluation, and deployment. This will help you understand how different components of the data science process fit together.
5๏ธโฃ Consistent practice is key to mastering any skill. Set aside dedicated time to work on data science projects, and gradually increase the complexity and scope of your projects as you gain more experience.
๐Here are 5 fresh Project ideas for Data Analysts ๐
๐ฏ ๐๐ถ๐ฟ๐ฏ๐ป๐ฏ ๐ข๐ฝ๐ฒ๐ป ๐๐ฎ๐๐ฎ ๐
https://www.kaggle.com/datasets/arianazmoudeh/airbnbopendata
๐กThis dataset describes the listing activity of homestays in New York City
๐ฏ ๐ง๐ผ๐ฝ ๐ฆ๐ฝ๐ผ๐๐ถ๐ณ๐ ๐๐ผ๐ป๐ด๐ ๐ณ๐ฟ๐ผ๐บ ๐ฎ๐ฌ๐ญ๐ฌ-๐ฎ๐ฌ๐ญ๐ต ๐ต
https://www.kaggle.com/datasets/leonardopena/top-spotify-songs-from-20102019-by-year
๐ฏ๐ช๐ฎ๐น๐บ๐ฎ๐ฟ๐ ๐ฆ๐๐ผ๐ฟ๐ฒ ๐ฆ๐ฎ๐น๐ฒ๐ ๐๐ผ๐ฟ๐ฒ๐ฐ๐ฎ๐๐๐ถ๐ป๐ด ๐
https://www.kaggle.com/c/walmart-recruiting-store-sales-forecasting/data
๐กUse historical markdown data to predict store sales
๐ฏ ๐ก๐ฒ๐๐ณ๐น๐ถ๐ ๐ ๐ผ๐๐ถ๐ฒ๐ ๐ฎ๐ป๐ฑ ๐ง๐ฉ ๐ฆ๐ต๐ผ๐๐ ๐บ
https://www.kaggle.com/datasets/shivamb/netflix-shows
๐กListings of movies and tv shows on Netflix - Regularly Updated
๐ฏ๐๐ถ๐ป๐ธ๐ฒ๐ฑ๐๐ป ๐๐ฎ๐๐ฎ ๐๐ป๐ฎ๐น๐๐๐ ๐ท๐ผ๐ฏ๐ ๐น๐ถ๐๐๐ถ๐ป๐ด๐ ๐ผ
https://www.kaggle.com/datasets/cedricaubin/linkedin-data-analyst-jobs-listings
๐กMore than 8400 rows of data analyst jobs from USA, Canada and Africa.
ENJOY LEARNING ๐๐
๐ฏ ๐๐ถ๐ฟ๐ฏ๐ป๐ฏ ๐ข๐ฝ๐ฒ๐ป ๐๐ฎ๐๐ฎ ๐
https://www.kaggle.com/datasets/arianazmoudeh/airbnbopendata
๐กThis dataset describes the listing activity of homestays in New York City
๐ฏ ๐ง๐ผ๐ฝ ๐ฆ๐ฝ๐ผ๐๐ถ๐ณ๐ ๐๐ผ๐ป๐ด๐ ๐ณ๐ฟ๐ผ๐บ ๐ฎ๐ฌ๐ญ๐ฌ-๐ฎ๐ฌ๐ญ๐ต ๐ต
https://www.kaggle.com/datasets/leonardopena/top-spotify-songs-from-20102019-by-year
๐ฏ๐ช๐ฎ๐น๐บ๐ฎ๐ฟ๐ ๐ฆ๐๐ผ๐ฟ๐ฒ ๐ฆ๐ฎ๐น๐ฒ๐ ๐๐ผ๐ฟ๐ฒ๐ฐ๐ฎ๐๐๐ถ๐ป๐ด ๐
https://www.kaggle.com/c/walmart-recruiting-store-sales-forecasting/data
๐กUse historical markdown data to predict store sales
๐ฏ ๐ก๐ฒ๐๐ณ๐น๐ถ๐ ๐ ๐ผ๐๐ถ๐ฒ๐ ๐ฎ๐ป๐ฑ ๐ง๐ฉ ๐ฆ๐ต๐ผ๐๐ ๐บ
https://www.kaggle.com/datasets/shivamb/netflix-shows
๐กListings of movies and tv shows on Netflix - Regularly Updated
๐ฏ๐๐ถ๐ป๐ธ๐ฒ๐ฑ๐๐ป ๐๐ฎ๐๐ฎ ๐๐ป๐ฎ๐น๐๐๐ ๐ท๐ผ๐ฏ๐ ๐น๐ถ๐๐๐ถ๐ป๐ด๐ ๐ผ
https://www.kaggle.com/datasets/cedricaubin/linkedin-data-analyst-jobs-listings
๐กMore than 8400 rows of data analyst jobs from USA, Canada and Africa.
ENJOY LEARNING ๐๐
Data Science Projects With Source Code๐ป
Recommendation System for Films
https://github.com/topics/movie-recommendation-system
Recognition of traffic signals
https://github.com/topics/traffic-sign-recognition
Detection of Drowsiness in Drivers
https://github.com/topics/driver-drowsiness-detection
Speech Emotion Recognition
https://github.com/topics/speech-emotion-recognition
Sentimental Analysis
https://github.com/yashspr/sentiment_analysis_ml_part
Recommendation System for Films
https://github.com/topics/movie-recommendation-system
Recognition of traffic signals
https://github.com/topics/traffic-sign-recognition
Detection of Drowsiness in Drivers
https://github.com/topics/driver-drowsiness-detection
Speech Emotion Recognition
https://github.com/topics/speech-emotion-recognition
Sentimental Analysis
https://github.com/yashspr/sentiment_analysis_ml_part
Forwarded from Data Analytics & AI
Pandas cheatsheet.pdf
596.7 KB
Step-by-Step Data Analysis Projects with Python Code
Below are popular data analysis projects from users. They will:
- Help you gain skills in working with real data
- Introduce you to Python libraries for data analysis
- Inspire you for your own data analysis projects
Netflix Data Analysis
Video Game Sales Analysis
Is There a Trend of Increasing Geek Girls?
Let's Discover More About the Olympic Games!
Marketing Analysis
Animal Shelter Data Analysis
Amazon Data Analysis
Billionaire Data Analysis
Credit Card Data Analysis
Pokemon Data Analysis
Spotify Data Analysis. What Does It Take to Hit the Charts
I have curated best 80+ top-notch Data Analytics Resources ๐๐
https://topmate.io/analyst/861634
If you go on purchasing these books, it will cost you more than 15000 but I kept the minimal price for everyone's benefit.
I hope these resources will help you in data analytics journey.
I will add more resources here in the future without any additional cost.
All the best for your career โค๏ธ
If you find this content useful, give it ๐โค๏ธ
Below are popular data analysis projects from users. They will:
- Help you gain skills in working with real data
- Introduce you to Python libraries for data analysis
- Inspire you for your own data analysis projects
Netflix Data Analysis
Video Game Sales Analysis
Is There a Trend of Increasing Geek Girls?
Let's Discover More About the Olympic Games!
Marketing Analysis
Animal Shelter Data Analysis
Amazon Data Analysis
Billionaire Data Analysis
Credit Card Data Analysis
Pokemon Data Analysis
Spotify Data Analysis. What Does It Take to Hit the Charts
I have curated best 80+ top-notch Data Analytics Resources ๐๐
https://topmate.io/analyst/861634
If you go on purchasing these books, it will cost you more than 15000 but I kept the minimal price for everyone's benefit.
I hope these resources will help you in data analytics journey.
I will add more resources here in the future without any additional cost.
All the best for your career โค๏ธ
If you find this content useful, give it ๐โค๏ธ
Python-2.pdf
5 MB
Python Tutorial in Jupyter Notebook
๐ Dataset Name: Spotify Songs Album
๐ This dataset provides concise details about music tracks and their performance across various platforms. It includes essential information like track name, artist(s), release date, and presence in popular playlists and charts on platforms like Spotify, Apple Music, Deezer, and Shazam. Additionally, it features metrics such as BPM, key, mode, danceability, valence, energy, acousticness, instrumentalness, and liveness_speechiness, which offer insights into the musical characteristics and appeal of each track.
๐ก With this data, analysts can evaluate the popularity, genre, and audience engagement of different music offerings across multiple streaming services.
๐ค From: Kaggle
๐ค Size: 47.1 kB
๐ This dataset provides concise details about music tracks and their performance across various platforms. It includes essential information like track name, artist(s), release date, and presence in popular playlists and charts on platforms like Spotify, Apple Music, Deezer, and Shazam. Additionally, it features metrics such as BPM, key, mode, danceability, valence, energy, acousticness, instrumentalness, and liveness_speechiness, which offer insights into the musical characteristics and appeal of each track.
๐ก With this data, analysts can evaluate the popularity, genre, and audience engagement of different music offerings across multiple streaming services.
๐ค From: Kaggle
๐ค Size: 47.1 kB
Spotify Songs Album.zip
47.1 KB
Dataset Name: Spotify Songs Album
๐จFor your free crypto signals with no upfront payment or fees, grow your crypto portfolio or earn from crypto for free๐
๐๐๐๐๐๐๐
click here to join channel now!!!
๐๐๐๐๐๐๐
click here to join channel now!!
๐๐๐๐๐๐๐
click here to join channel now!!!
๐๐๐๐๐๐๐
click here to join channel now!!
Data Analytics Projects for Beginners ๐
Web Scraping
https://github.com/shreyaswankhede/IMDb-Web-Scraping-and-Sentiment-Analysis
Product Price Scraping and Analysis
https://github.com/CodesdaLu/Web-Scrapping
News Scraping
https://github.com/rohit-yadav/scraping-news-articles
Real Time Stock Price Scraping with Python
https://youtu.be/rONhdonaWUo?si=A3oDEVbLIAP78cCz
Zomato Analysis
https://youtu.be/fFi_TBw27is?si=E0iLd3J06YHfQkRk
IPL Analysis
https://github.com/Yashmenaria1/IPL-Data-Exploration
https://www.youtube.com/watch?v=ur-v0dv0Qtw
https://www.youtube.com/watch?v=ur-v0dv0Qtw
Football Data Analysis
https://youtu.be/yat7soj__4w?si=h5CLIvVFzzKm8IEP
Market Basket Analysis
https://youtu.be/Ne8Sbp2hJIk?si=ThEuvdOnRrpcVjOg
Customer Churn Prediction
https://github.com/Pradnya1208/Telecom-Customer-Churn-prediction
Employeeโs Performance for HR Analytics
https://www.kaggle.com/code/rajatraj0502/employee-s-performance-for-hr-analytics
Food Price Prediction
https://github.com/VectorInstitute/foodprice-forecasting
Web Scraping
https://github.com/shreyaswankhede/IMDb-Web-Scraping-and-Sentiment-Analysis
Product Price Scraping and Analysis
https://github.com/CodesdaLu/Web-Scrapping
News Scraping
https://github.com/rohit-yadav/scraping-news-articles
Real Time Stock Price Scraping with Python
https://youtu.be/rONhdonaWUo?si=A3oDEVbLIAP78cCz
Zomato Analysis
https://youtu.be/fFi_TBw27is?si=E0iLd3J06YHfQkRk
IPL Analysis
https://github.com/Yashmenaria1/IPL-Data-Exploration
https://www.youtube.com/watch?v=ur-v0dv0Qtw
https://www.youtube.com/watch?v=ur-v0dv0Qtw
Football Data Analysis
https://youtu.be/yat7soj__4w?si=h5CLIvVFzzKm8IEP
Market Basket Analysis
https://youtu.be/Ne8Sbp2hJIk?si=ThEuvdOnRrpcVjOg
Customer Churn Prediction
https://github.com/Pradnya1208/Telecom-Customer-Churn-prediction
Employeeโs Performance for HR Analytics
https://www.kaggle.com/code/rajatraj0502/employee-s-performance-for-hr-analytics
Food Price Prediction
https://github.com/VectorInstitute/foodprice-forecasting
๐ Dataset Name: Employee Data Analysis
๐ Unlocking Insights for a Thriving Workplace
๐ Our extensive collection of datasets provides a deep dive into different aspects of employee engagement and organizational dynamics.
๐ก Our extensive collection of datasets provides a deep dive into different aspects of employee engagement and organizational dynamics.
๐ค From: Kaggle
๐ค Size: 120 kB
๐ Unlocking Insights for a Thriving Workplace
๐ Our extensive collection of datasets provides a deep dive into different aspects of employee engagement and organizational dynamics.
๐ก Our extensive collection of datasets provides a deep dive into different aspects of employee engagement and organizational dynamics.
๐ค From: Kaggle
๐ค Size: 120 kB
Employee Data Analysis.zip
120 KB
Dataset Name: Employee Data Analysis
๐ฅ Step-by-step Data Analysis Projects with SQL
Below are popular data projects from Kaggle, GitHub and Medium and YouTube. They will:
- Help you gain skills in working with real data
- Introduce you to SQL for data analysis
- Inspire you to undertake your own data analysis projects
๐บ Real World Fake Data Analysis
๐ Housing sales in Nashville
๐ Walmart Sales Analysis SQL Project
๐งณ Alex the Analyst SQL Project
๐ค Superstore Sales Analysis using SQL
๐ธ International Debt Analysis using SQL
โฝ๏ธ Soccer Game Analysis using SQL
๐ World Population Analysis 2015 using SQL
๐ SQL Project for Data Analysis
๐ Public Transportation Data Analysis using SQL
๐ธ Instagram User Data Analysis using SQL
๐ HR Data Analysis using SQL
๐ฌ Data Analyst Project: Step-by-step analysis with SQL
๐ผ Music Store Data Analysis Project Using SQL
โ Top 10 SQL Projects with Datasets
โ Roadmap to Master SQL
#DataAnalyst #DataAnalytics #DataAnalysis #data_analyst #sql
If you find this useful, give it a๐
Below are popular data projects from Kaggle, GitHub and Medium and YouTube. They will:
- Help you gain skills in working with real data
- Introduce you to SQL for data analysis
- Inspire you to undertake your own data analysis projects
๐บ Real World Fake Data Analysis
๐ Housing sales in Nashville
๐ Walmart Sales Analysis SQL Project
๐งณ Alex the Analyst SQL Project
๐ค Superstore Sales Analysis using SQL
๐ธ International Debt Analysis using SQL
โฝ๏ธ Soccer Game Analysis using SQL
๐ World Population Analysis 2015 using SQL
๐ SQL Project for Data Analysis
๐ Public Transportation Data Analysis using SQL
๐ธ Instagram User Data Analysis using SQL
๐ HR Data Analysis using SQL
๐ฌ Data Analyst Project: Step-by-step analysis with SQL
๐ผ Music Store Data Analysis Project Using SQL
โ Top 10 SQL Projects with Datasets
โ Roadmap to Master SQL
#DataAnalyst #DataAnalytics #DataAnalysis #data_analyst #sql
If you find this useful, give it a๐