Data Analytics Projects - SQL, Excel, Tableau, Python & Power BI Interview Resources

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Covering all technical and popular stuff about anything related to Data Science: AI, Big Data, Machine Learning, Statistics, general Math and the applications of former. Ads/ Promo: @love_data

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📈 Analytical overview of Telegram channel Data Analytics Projects - SQL, Excel, Tableau, Python & Power BI Interview Resources

Channel Data Analytics Projects - SQL, Excel, Tableau, Python & Power BI Interview Resources (@sqlproject) in the English language segment is an active participant. Currently, the community unites 39 505 subscribers, ranking 4 747 in the Education category and 10 383 in the India region.

📊 Audience metrics and dynamics

Since its creation on невідомо, the project has demonstrated rapid growth, gathering an audience of 39 505 subscribers.

According to the latest data from 11 June, 2026, the channel demonstrates stable activity. Although there has been a change in the number of participants by 205 over the last 30 days and by 11 over the last 24 hours, overall reach remains high.

Verification status: Not verified
Engagement rate (ER): The average audience engagement rate is 2.87%. Within the first 24 hours after publication, content typically collects 0.98% reactions from the total number of subscribers.
Post reach: On average, each post receives 1 133 views. Within the first day, a publication typically gains 388 views.
Reactions and interaction: The audience actively supports content: the average number of reactions per post is 3.
Thematic interests: Content is focused on key topics such as analytic, dataset, visualization, sql, learning.

📝 Description and content policy

The author describes the resource as a platform for expressing subjective opinions:
“Covering all technical and popular stuff about anything related to Data Science: AI, Big Data, Machine Learning, Statistics, general Math and the applications of former. Ads/ Promo: @love_data”

Thanks to the high frequency of updates (latest data received on 12 June, 2026), the channel maintains relevance and a high level of publication reach. Analytics show that the audience actively interacts with content, making it an important point of influence in the Education category.

39 505

Subscribers

+1124 hours

+367 days

+20530 days

1 133

Post views

~ 38824 hours

~ 52848 hours

2.87%

Engagement rate

~ 1

Posts per day

Ads index

beta

Posts Archive

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Day 1 Advanced Data Cleaning.pdf3.78 KB

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Data Cleaning.pdf3.92 MB

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Sales Data Analysis.pdf5.58 KB

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XGboost.pdf4.03 MB

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Machine Learning S. Sridhar, 2021

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D Mart Products sales Analysis project 🏪.pdf3.51 MB

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Count number of Faces using Python – OpenCV 🧠🚀 Don't forget to React ❤️ to this msg if you want more content Like this 👍

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20 high-income skills to learn in 2024 👇 1. Artificial intelligence (AI) 2. Cloud computing 3. Data science 4. Machine learning 5. Blockchain/ Crypto 6. Data analytics and business intelligence 7. Data engineering 8. Finance 9. Web Development 10. Software development 11. UX design 12. Web design 13. Graphic design 14. Video editing 15. Content marketing 16. Blogging 17. Tech skills 18. Business analysis 19. Cybersecurity 20. Entrepreneurship 21. Freelancing 22. Sales and marketing Free access to all the Paid Channels 👇👇 https://t.me/addlist/ID95piZJZa0wYzk5 Do react with ♥️ if you need more content like this ENJOY LEARNING 👍👍

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House Price Prediction Models.pdf1.25 MB

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Are you a data science beginner? Here are 5 beginner-friendly data science project ideas Loan Approval Prediction Predict whether a loan will be approved based on customer demographic and financial data. This requires data preprocessing, feature engineering, and binary classification techniques. Credit Card Fraud Detection Detect fraudulent credit card transactions with a dataset that contains transactions made by credit cards. This is a good project for learning about imbalanced datasets and anomaly detection methods. Netflix Movies and TV Shows Analysis Analyze Netflix's movies and TV shows to discover trends in ratings, popularity, and genre distributions. Visualization tools and exploratory data analysis are key components here. Sentiment Analysis of Tweets Analyze the sentiment of tweets to determine whether they are positive, negative, or neutral. This project involves natural language processing and working with text data. Weather Data Analysis Analyze historical weather data from the National Oceanic and Atmospheric Administration (NOAA) to look for seasonal trends, weather anomalies, or climate change indicators. This project involves time series analysis and data visualization. Join for more: https://t.me/sqlproject ENJOY LEARNING 👍👍

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5 Best beginner-friendly data science projects! 1-Loan Approval Prediction 2-Credit Card Fraud Detection 3-Netflix Movies and TV Shows Analysis 4-Sentiment Analysis of Tweets 5-Weather Data Analysis These projects are ideal for beginners who want to grasp the fundamentals and get closer to solving real-life projects. How to choose the right portfolio project? Here are my best tips: Pick What You Like: Choose a topic you enjoy to keep the project fun. Show Your Skills: Make sure your project shows off what you can do, like organizing data or making charts. Keep It Simple: Start with a simple project that you can expand later. Use Available Data: Choose a project with easy-to-find data.

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Underrated Telegram Channel for Data Analysts 👇👇 https://t.me/sqlspecialist Here, you will get free tutorials to learn SQL, Python, Power BI, Excel and many more Hope you guys will like it 😄

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Credit_Risk_Analysis.pdf1.29 MB

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“The Best Public Datasets for Machine Learning and Data Science” by Stacy Stanford https://datasimplifier.com/best-data-analyst-projects-for-freshers/ https://toolbox.google.com/datasetsearch https://www.kaggle.com/datasets http://mlr.cs.umass.edu/ml/ https://www.visualdata.io/ https://guides.library.cmu.edu/machine-learning/datasets https://www.data.gov/ https://nces.ed.gov/ https://www.ukdataservice.ac.uk/ https://datausa.io/ https://www.cs.toronto.edu/~delve/data/boston/bostonDetail.html https://www.kaggle.com/xiuchengwang/python-dataset-download https://www.quandl.com/ https://data.worldbank.org/ https://www.imf.org/en/Data https://markets.ft.com/data/ https://trends.google.com/trends/?q=google&ctab=0&geo=all&date=all&sort=0 https://www.aeaweb.org/resources/data/us-macro-regional http://xviewdataset.org/#dataset http://labelme.csail.mit.edu/Release3.0/browserTools/php/dataset.php http://image-net.org/ http://cocodataset.org/ http://visualgenome.org/ https://ai.googleblog.com/2016/09/introducing-open-images-dataset.html?m=1 http://vis-www.cs.umass.edu/lfw/ http://vision.stanford.edu/aditya86/ImageNetDogs/ http://web.mit.edu/torralba/www/indoor.html http://www.cs.jhu.edu/~mdredze/datasets/sentiment/ http://ai.stanford.edu/~amaas/data/sentiment/ http://nlp.stanford.edu/sentiment/code.html http://help.sentiment140.com/for-students/ https://www.kaggle.com/crowdflower/twitter-airline-sentiment https://hotpotqa.github.io/ https://www.cs.cmu.edu/~./enron/ https://snap.stanford.edu/data/web-Amazon.html https://aws.amazon.com/datasets/google-books-ngrams/ http://u.cs.biu.ac.il/~koppel/BlogCorpus.htm https://code.google.com/archive/p/wiki-links/downloads http://www.dt.fee.unicamp.br/~tiago/smsspamcollection/ https://www.yelp.com/dataset https://t.me/DataPortfolio/2 https://archive.ics.uci.edu/ml/datasets/Spambase https://bdd-data.berkeley.edu/ http://apolloscape.auto/ https://archive.org/details/comma-dataset https://www.cityscapes-dataset.com/ http://aplicaciones.cimat.mx/Personal/jbhayet/ccsad-dataset http://www.vision.ee.ethz.ch/~timofter/traffic_signs/ http://cvrr.ucsd.edu/LISA/datasets.html https://hci.iwr.uni-heidelberg.de/node/6132 http://www.lara.prd.fr/benchmarks/trafficlightsrecognition http://computing.wpi.edu/dataset.html https://mimic.physionet.org/ ✅ Free Courses with Certificate: https://t.me/free4unow_backup

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🖥 Fake news Detection Machine Learning Project with 92%Accuracy ✅ it contain compressed file in which "jupyter notebook file and dataset" ✅

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Learning MongoDB Stack Overflow

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In 2024, mastering data science is expected to blend conventional educational methods with innovative approaches. Here are the steps to learn data science in 2024: Enroll in a data science program: Whether it's at a university or through online platforms, find a program covering machine learning, statistics, and data visualization. Take online courses: Utilize platforms like Udacity, Udemy, or DataCamp to learn specific data science skills. Engage in data science competitions: Join competitions on platforms like Kaggle to apply your skills to real-world problems and learn from others. Connect with data science communities: Participate in forums, attend meetups, or join social media groups to network and learn from experienced data scientists. Keep up with industry trends: Stay informed about the latest developments in data science by following blogs, podcasts, and industry publications. Build a portfolio: Create projects to showcase your data science abilities and demonstrate your skills to potential employers or clients. Happy learning! 👍👍 Share your responses to this 👍❤️

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Graph Data Science For Dummies Book.pdf4.66 MB

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Data Lake vs Data Warehouse

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How to chose statistical test based on data