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Data Science & Machine Learning

Data Science & Machine Learning

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The first channel on Telegram that offers exciting questions, answers, and tests in data science, artificial intelligence, machine learning, and programming languages. For promotions: @love_data

Ko'proq ko'rsatish

📈 Telegram kanali Data Science & Machine Learning analitikasi

Data Science & Machine Learning (@datascienceinterviews) Ingliz til segmentidagi kanali faol ishtirokchi. Hozirda hamjamiyat 27 229 obunachidan iborat bo'lib, Taʼlim toifasida 7 209-o'rinni va Hindiston mintaqasida 16 024-o'rinni egallagan.

📊 Auditoriya ko‘rsatkichlari va dinamika

невідомо sanasidan buyon loyiha tez o‘sib, 27 229 obunachiga ega bo‘ldi.

10 Iyun, 2026 dagi oxirgi ma’lumotlarga ko‘ra kanal barqaror faollikka ega. Oxirgi 30 kunda obunachilar soni 103 ga, so‘nggi 24 soatda esa 7 ga o‘zgardi va umumiy qamrov yuqori darajada qolmoqda.

  • Tasdiqlash holati: Tasdiqlanmagan
  • Jalb etish (ER): Auditoriya o‘rtacha 0.78% darajada jalb etiladi. Nashrdan keyingi dastlabki 24 soatda kontent odatda umumiy obunachilar sonining 0.62% ini tashkil etuvchi reaksiyalarni to‘playdi.
  • Post qamrovi: Har bir post o‘rtacha 212 marta ko‘riladi; birinchi sutkada odatda 170 ta ko‘rish yig‘iladi.
  • Reaksiyalar va o‘zaro ta’sir: Auditoriya faol: har bir postga o‘rtacha 1 ta reaksiya keladi.
  • Tematik yo‘nalishlar: Kontent insidead, mining, pinix, learning, neo kabi asosiy mavzularga jamlangan.

📝 Tavsif va kontent siyosati

Muallif resursni shaxsiy fikrni ifoda etish maydoni sifatida ta’riflaydi:
The first channel on Telegram that offers exciting questions, answers, and tests in data science, artificial intelligence, machine learning, and programming languages. For promotions: @love_data

Yuqori yangilanish chastotasi (oxirgi ma’lumot 11 Iyun, 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.

27 229
Obunachilar
+724 soatlar
+127 kunlar
+10330 kunlar
Postlar arxiv
Welcome to Lefaroll - the cyber channel from the cyber nation.If Israel is the “capital of cybersecurity,” this is the contro
Welcome to Lefaroll - the cyber channel from the cyber nation.If Israel is the “capital of cybersecurity,” this is the control room: sharp updates on live campaigns, TTPs, infra, leaks, offensive tooling, takedowns, and attacker drama - with a strong Israel-focused angle.No PR, no fluff - just real intel juice, context, and what attackers actually care about right now.Most posts are in Hebrew (you might need auto-translate) - but it’s 100% worth it.For CTI, SOC, Blue/Red, OSINT, and anyone who likes watching the Matrix up close. https://t.me/Lefaroll #ad InsideAds

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Welcome to Lefaroll - the cyber channel from the cyber nation.If Israel is the “capital of cybersecurity,” this is the contro
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Welcome to Lefaroll - the cyber channel from the cyber nation.If Israel is the “capital of cybersecurity,” this is the contro
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Welcome to Lefaroll - the cyber channel from the cyber nation.If Israel is the “capital of cybersecurity,” this is the contro
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Some practical interview questions for an entry-level data analyst role in Power BI: •  Data Import Scenario: Describe how you would import data from various sources (Excel,SQL Server, CSV) into Power BI. •  Data Cleaning Exercise: In Power BI, how would you handle a dataset with missing values and inconsistent formats to prepare it for analysis? •  Handling Large Datasets: If you're working with a very large dataset in Power BI that is causing performance issues, what strategies would you use to optimize the data processing? •  Calculated Columns and Measures: Explain how you would use calculated columns and measures in Power BI to analyze year-over-year growth. •  Data Modeling Case: You have sales data in one table and customer data in another. How would you create a data model in Power BI to analyze customer purchase behavior? •  Visualizations Task: Describe your approach to visualizing sales data in Power BI to highlight trends over time across different product categories. •  Dashboard Optimization: A Power BI dashboard is loading slowly. What steps would you take to diagnose and improve its performance? •  Data Refresh Scheduling: How would you set up and manage automatic data refreshes for a weekly sales report in Power BI? •  Row-Level Security: How would you implement user-level security in Power BI for a report that needs different access levels for various users? •  Troubleshooting a DAX Calculation: If a DAX formula in Power BI is not returning the expected results, how would you go about troubleshooting it? •  Integration with Other Tools: Describe a scenario where you integrated Power BI with another tool or service (like Excel, Azure, or a web API). •  Interactive Reports Creation: How would you design a Power BI report that allows user interaction, such as using slicers or drill-down features? •  Adapting to Data Source Changes: If there are structural changes in a primary data source (like addition or removal of columns), how would you update your Power BI reports and dashboards? •  Sharing Reports: Explain how you would share a report with your team and set up access controls using Power BI Service. •  SQL Queries in Power BI: How do you use SQL queries in Power BI for advanced data transformation or analysis? •  Error Handling in Data Sources: How do you manage and resolve errors in data sources or calculations in Power BI? •  Custom Visuals Usage: Have you used custom visuals in Power BI? Describe the scenario and the benefit •  Collaboration in Power BI Projects: Discuss how you have worked with others on a Power BI project. What collaboration tools or features within Power BI did you utilize? •  Performance Tuning: What steps do you take to ensure your Power BI reports are performing optimally when dealing with large datasets or complex calculations? Power BI Interviews 👇👇 https://whatsapp.com/channel/0029VaGgzAk72WTmQFERKh02 Hope you'll like it Like this post if you need more resources like this 👍❤️

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