Data Analytics
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Dive into the world of Data Analytics โ€“ uncover insights, explore trends, and master data-driven decision making.

Admin: @HusseinSheikho || @Hussein_Sheikho
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๐Ÿš€๐—ง๐—ต๐—ฒ ๐—ฃ๐˜†๐˜๐—ต๐—ผ๐—ป ๐—˜๐—ฐ๐—ผ๐˜€๐˜†๐˜€๐˜๐—ฒ๐—บ ๐—ฆ๐—ธ๐—ถ๐—น๐—น๐˜€ ๐—˜๐˜ƒ๐—ฒ๐—ฟ๐˜† ๐——๐—ฒ๐˜ƒ๐—ฒ๐—น๐—ผ๐—ฝ๐—ฒ๐—ฟ ๐—ฆ๐—ต๐—ผ๐˜‚๐—น๐—ฑ ๐— ๐—ฎ๐˜€๐˜๐—ฒ๐—ฟ๐Ÿ

https://t.iss.one/DataAnalyticsX ๐Ÿ˜…
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This channels is for Programmers, Coders, Software Engineers.

0๏ธโƒฃ Python
1๏ธโƒฃ Data Science
2๏ธโƒฃ Machine Learning
3๏ธโƒฃ Data Visualization
4๏ธโƒฃ Artificial Intelligence
5๏ธโƒฃ Data Analysis
6๏ธโƒฃ Statistics
7๏ธโƒฃ Deep Learning
8๏ธโƒฃ programming Languages

โœ… https://t.iss.one/addlist/8_rRW2scgfRhOTc0

โœ… https://t.iss.one/Codeprogrammer
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๐Ÿ“ฑ TorchCode โ€” a PyTorch training tool for preparing for ML interviews

40 tasks for implementing operators and architectures that are actually asked in interviews. Automatic checking, hints, and reference solutions โ€” all in the browser without installation.

If you're preparing for an ML interview, it's useful to go through at least half of them.

Link: https://github.com/duoan/TorchCode

tags: #useful #pytorch

https://t.iss.one/CodeProgrammer โœ…
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โœ๏ธ SQL for Data Science in 6 Weeks

An experienced data scientist has put together a step-by-step plan for learning SQL, organizing it into a repository on GitHub. Each week โ€” a new topic with useful materials and practice.

The program looks like this:
โ–ถ๏ธ Week 1 โ€” SQL basics and data extraction;
โ–ถ๏ธ Week 2 โ€” grouping using GROUP BY;
โ–ถ๏ธ Week 3 โ€” all types of JOIN and where to apply them;
โ–ถ๏ธ Week 4 โ€” analyzing window functions;
โ–ถ๏ธ Week 5 โ€” CTE and subqueries;
โ–ถ๏ธ Week 6 โ€” final project to reinforce.

A great start for those who want to improve their SQL skills specifically for analytics and Data Science tasks.

โžก๏ธ Link to the course
https://github.com/andresvourakis/free-6-week-sql-roadmap-data-science

https://t.iss.one/DataAnalyticsX ๐ŸŸก
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This channels is for Programmers, Coders, Software Engineers.

0๏ธโƒฃ Python
1๏ธโƒฃ Data Science
2๏ธโƒฃ Machine Learning
3๏ธโƒฃ Data Visualization
4๏ธโƒฃ Artificial Intelligence
5๏ธโƒฃ Data Analysis
6๏ธโƒฃ Statistics
7๏ธโƒฃ Deep Learning
8๏ธโƒฃ programming Languages

โœ… https://t.iss.one/addlist/8_rRW2scgfRhOTc0

โœ… https://t.iss.one/Codeprogrammer
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๐Ÿ’Ž By: https://t.iss.one/DataScienceC
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Master in Data Analysis and Analytics

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๐ŸŒ Language: English (US)
๐Ÿ‘ฅ Students: 19,230 students
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โš ๏ธ Please note: A verification layer has been added to prevent bad actors and bots from claiming the courses, so it is important for genuine users to enroll manually to not lose this free opportunity.

๐Ÿ’Ž By: https://t.iss.one/DataScienceC
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SQL Basics.pdf
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๐Ÿ’ป Collection of cheat sheets on SQL

I've gathered for you short and understandable cheat sheets on the main topics:
โ–ถ๏ธ Basics of the SQL language;
โ–ถ๏ธ JOINs with clear examples;
โ–ถ๏ธ Window functions;
โ–ถ๏ธ SQL for data analysis.

An excellent set to refresh your knowledge before a job interview or quickly recall the syntax.

tags: #sql #useful

https://t.iss.one/DataAnalyticsX
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The most complete list of video courses on Computer Science on the internet.

cs-video-courses โ€” 78K+ stars.

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Everything is free. All lectures are in video format. Everything is collected in one repository.

Topics:

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From beginner level (CS50) to advanced (6.824 Distributed Systems).

The curriculum is free. ๐Ÿค™
https://github.com/Developer-Y/cs-video-courses

https://t.iss.one/CodeProgrammer โšก๏ธ
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This channels is for Programmers, Coders, Software Engineers.

0๏ธโƒฃ Python
1๏ธโƒฃ Data Science
2๏ธโƒฃ Machine Learning
3๏ธโƒฃ Data Visualization
4๏ธโƒฃ Artificial Intelligence
5๏ธโƒฃ Data Analysis
6๏ธโƒฃ Statistics
7๏ธโƒฃ Deep Learning
8๏ธโƒฃ programming Languages

โœ… https://t.iss.one/addlist/8_rRW2scgfRhOTc0

โœ… https://t.iss.one/Codeprogrammer
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๐Ÿงน ๐—ฆ๐˜๐—ฒ๐—ฝ๐˜€ ๐˜๐—ผ ๐—–๐—น๐—ฒ๐—ฎ๐—ป ๐—ฎ ๐——๐—ฎ๐˜๐—ฎ๐˜€๐—ฒ๐˜ ๐—ถ๐—ป ๐—ฃ๐˜†๐˜๐—ต๐—ผ๐—ป

https://t.iss.one/DataAnalyticsX
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๐Ÿš€ Sber has released two open-source MoE models: GigaChat-3.1 Ultra and Lightning

Both code and weights are available under the MIT license on HuggingFace.

๐Ÿ‘‰ Key details:

โ€ข Trained from scratch (not a finetune) on proprietary data and infrastructure
โ€ข Mixture-of-Experts (MoE) architecture

Models:

๐Ÿง  GigaChat-3.1 Ultra
โ€ข 702B MoE model for high-performance environments
โ€ข Outperforms DeepSeek-V3-0324 and Qwen3-235B on math and reasoning benchmarks
โ€ข Supports FP8 training and MTP

โšก๏ธ GigaChat-3.1 Lightning
โ€ข 10B model (1.8B active parameters)
โ€ข Outperforms Qwen3-4B and Gemma-3-4B on Sber benchmarks
โ€ข Efficient local inference
โ€ข Up to 256k context

Engineering highlights:

โ€ข Custom metric to detect and reduce generation loops
โ€ข DPO training moved to native FP8
โ€ข Improvements in post-training pipeline
โ€ข Identified and fixed a critical issue affecting evaluation quality

๐ŸŒ Trained on 14 languages (optimized for English and Russian)

Use cases:

โ€ข chatbots
โ€ข AI assistants
โ€ข copilots
โ€ข internal ML systems

Sber provides a solid open foundation for developers to build production-ready AI systems with lower infrastructure costs.
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