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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Tarmoq:Free Courses with Certificate - Python Programming, Data Science, Java Coding, SQL, Web Development, AI, ML, ChatGPT Expert Hindiston9 708 Taʼlim4 591...

📈 Telegram kanali Data Analytics Projects - SQL, Excel, Tableau, Python & Power BI Interview Resources analitikasi

Data Analytics Projects - SQL, Excel, Tableau, Python & Power BI Interview Resources (@sqlproject) Ingliz til segmentidagi kanali faol ishtirokchi. Hozirda hamjamiyat 39 698 obunachidan iborat bo'lib, Taʼlim toifasida 4 591-o'rinni va Hindiston mintaqasida 9 708-o'rinni egallagan.

📊 Auditoriya ko‘rsatkichlari va dinamika

невідомо sanasidan buyon loyiha tez o‘sib, 39 698 obunachiga ega bo‘ldi.

29 Avgust, 2026 dagi oxirgi ma’lumotlarga ko‘ra kanal barqaror faollikka ega. Oxirgi 30 kunda obunachilar soni 36 ga, so‘nggi 24 soatda esa 17 ga o‘zgardi va umumiy qamrov yuqori darajada qolmoqda.

Tasdiqlash holati: Tasdiqlanmagan
Jalb etish (ER): Auditoriya o‘rtacha 1.87% darajada jalb etiladi. Nashrdan keyingi dastlabki 24 soatda kontent odatda umumiy obunachilar sonining 0.73% ini tashkil etuvchi reaksiyalarni to‘playdi.
Post qamrovi: Har bir post o‘rtacha 744 marta ko‘riladi; birinchi sutkada odatda 290 ta ko‘rish yig‘iladi.
Reaksiyalar va o‘zaro ta’sir: Auditoriya faol: har bir postga o‘rtacha 2 ta reaksiya keladi.
Tematik yo‘nalishlar: Kontent analytic, dataset, visualization, sql, learning kabi asosiy mavzularga jamlangan.

📝 Tavsif va kontent siyosati

Muallif resursni shaxsiy fikrni ifoda etish maydoni sifatida ta’riflaydi:
“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”

Yuqori yangilanish chastotasi (oxirgi ma’lumot 30 Avgust, 2026 da olingan) sababli kanal doimo dolzarb va katta qamrovli bo‘lib qoladi. Analitika auditoriya kontent bilan faol hamkorlik qilishini, uni Taʼlim toifasidagi muhim ta’sir nuqtasiga aylantirishini ko‘rsatadi.

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39 698

Obunachilar

+1724 soatlar

-137 kunlar

+3630 kunlar

744

Post ko'rishlar

~ 29024 soatlar

~ 40348 soatlar

1.87%

Muloqot nisbati

~ 1

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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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