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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Сеть:Free Courses with Certificate - Python Programming, Data Science, Java Coding, SQL, Web Development, AI, ML, ChatGPT Expert Индия10 383 Образование4 747...

📈 Аналитический обзор Telegram-канала Data Analytics Projects - SQL, Excel, Tableau, Python & Power BI Interview Resources

Канал Data Analytics Projects - SQL, Excel, Tableau, Python & Power BI Interview Resources (@sqlproject) языкового сегмента Английский является активным участником. Сейчас сообщество объединяет 39 505 подписчиков, занимая 4 747 место в категории Образование и 10 383 место в регионе Индия.

📊 Показатели аудитории и динамика

С момента создания невідомо проект демонстрирует стремительный рост, собрав аудиторию из 39 505 подписчиков.

Согласно последним данным от 11 июня, 2026, канал показывает стабильную активность. За последние 30 дней изменение числа участников составило 205, а за последние 24 часа — 11, при этом общий охват остаётся высоким.

Статус верификации: Не верифицирован
Уровень вовлечённости (ER): Средний показатель вовлечённости аудитории составляет 2.87%. В первые 24 часа после публикации контент обычно набирает 0.98% реакций от общего числа подписчиков.
Охват публикаций: В среднем каждый пост получает 1 133 просмотров. В течение первых суток публикация набирает 388 просмотров.
Реакции и взаимодействия: Аудитория активно поддерживает контент: среднее количество реакций на один пост — 3.
Тематические интересы: Контент сосредоточен на ключевых темах, таких как analytic, dataset, visualization, sql, learning.

📝 Описание и контентная политика

Автор описывает ресурс как площадку для выражения субъективного мнения:
“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”

Благодаря высокой частоте обновлений (последние данные получены 12 июня, 2026) канал поддерживает актуальность и высокий уровень охвата публикаций. Аналитика показывает, что аудитория активно взаимодействует с контентом, что делает его важной точкой влияния в категории Образование.

39 505

Подписчики

+1124 часа

+367 дней

+20530 день

1 133

Просмотры поста

~ 38824 часа

~ 52848 часов

2.87%

Коэффициент вовлеченности

~ 1

Постов в день

Ads index

beta

Архив постов

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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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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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“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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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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