Linkedin Learning

رفتن به کانال در Telegram

Linkedin Learning Download and watch Linkedin Learning Courses 📈 Pᴀɪᴅ ᴀᴅs : https://telega.io/c/linkedin_learning

نمایش بیشتر

📈 تحلیل کانال تلگرام Linkedin Learning

کانال Linkedin Learning (@linkedin_learning) در بخش زبانی انگلیسی بازیگری فعال است. در حال حاضر جامعه شامل 217 335 مشترک است و جایگاه 387 را در دسته آموزش و رتبه 707 را در منطقه الهند دارد.

📊 شاخص‌های مخاطب و پویایی

از زمان ایجاد در невідомо، پروژه رشد سریعی داشته و 217 335 مشترک جذب کرده است.

بر اساس آخرین داده‌ها در تاریخ 10 ژوئیه, 2026، کانال فعالیت پایداری دارد. در ۳۰ روز گذشته تغییر اعضا برابر 243 و در ۲۴ ساعت گذشته برابر 106 بوده و همچنان دسترسی گسترده‌ای حفظ شده است.

وضعیت تأیید: تأیید نشده
نرخ تعامل (ER): میانگین تعامل مخاطب 6.78% است و در ۲۴ ساعت نخست پس از انتشار، محتوا معمولاً 1.86% واکنش نسبت به کل مشترکان کسب می‌کند.
دسترسی پست‌ها: هر پست به طور میانگین 14 743 بازدید دریافت می‌کند. در اولین روز معمولاً 4 040 بازدید جمع‌آوری می‌شود.
واکنش‌ها و تعامل: مخاطبان به‌طور فعال حمایت می‌کنند؛ میانگین واکنش به هر پست 16 است.
علایق موضوعی: محتوا بر موضوعات کلیدی مانند author, linkedin, linux, javascript, 040k| تمرکز دارد.

📝 توضیح و سیاست محتوایی

نویسنده این فضا را محل بیان دیدگاه‌های شخصی توصیف می‌کند:
“Linkedin Learning Download and watch Linkedin Learning Courses 📈 Pᴀɪᴅ ᴀᴅs : https://telega.io/c/linkedin_learning”

به لطف به‌روزرسانی‌های پرتکرار (آخرین داده در تاریخ 11 ژوئیه, 2026)، کانال همواره به‌روز و دارای دسترسی بالاست. تحلیل‌ها نشان می‌دهد مخاطبان به‌طور فعال با محتوا تعامل دارند و آن را به نقطه اثرگذاری مهم در دسته آموزش تبدیل کرده‌اند.

217 335

مشترکین

+10624 ساعت

+3557 روز

+24330 روز

14 743

نمایش های پست

~ 4 04024 ساعت

~ 5 62348 ساعت

6.78%

نرخ مشارکت

~ 1

پست های در روز

Ads index

beta

آرشیو پست ها

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Small Business Tips.zip104.96 MB

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📁 Full description If you're a small business owner or a side hustler, or if you just like learning about the world of micro-entrepreneurship, this action-packed course is for you. Author and entrepreneur Chris Guillebeau draws from Side Hustle School, his daily podcast, to present and answer questions on a variety of topics from real small business owners. Chris deals with topics including businesses you can start with a small amount of money, buying for resale on Alibaba, fighting burnout, growing a YouTube channel, and much more. He concludes with information on how you can submit a question that might be answered in future lessons. Note: This course was created by Chris Guillebeau. We are pleased to host this training in our library. Udemy Courses - ZTM Courses - Course

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🔰 Small Business Tips 🎟2021-08-13 • ⏱49m • 💡Beginner 🗣 Chris Guillebeau Hear answers to some of the most popular listener questions posed on the Side Hustle School podcast, with a focus on helping small business owners thrive in the new economy. 📦 Topics: Small Business Management LinkedIn Learning

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Introduction to Linux.zip158.53 MB

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📁 Full description With so many technical terms, cultural quirks, and options to pursue, getting started with Linux can seem overwhelming. In this course, instructor Scott Simpson covers the fundamentals of what you need to know in order to make smart choices about learning Linux. Scott discusses the Linux kernel, the software that allows you to interact with a computer’s hardware. He explains desktop environments, text-based terminal interfaces, and standard tools that are used on a Linux system. Scott goes over where different types of files are stored on Linux systems. He offers tips on choosing which Linux distribution, or distro, to use and helps you plan your Linux system. Scott shows you how to direct your strategy for learning Linux, then gives some tips on how to find answers and ask for help. Udemy Courses - ZTM Courses - Course

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🔰 Introduction to Linux 🎟2021-02-19 • ⏱52m • 💡Beginner 🗣 Scott Simpson Learning Linux can be a daunting task, so this course lays the groundwork for your Linux journey with term definitions, standards, and options you can pursue. 📦 Topics: Linux System Administration, Linux LinkedIn Learning

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AWS_Well_Architected_Framework_Performance_Efficiency_Pillar.zip158.70 MB

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📁 Full description The AWS Well-Architected Framework includes strategies to help enterprise architects compare workloads against AWS-identified best practices. It is designed to help architects build secure, high-performing, resilient, and efficient infrastructure for their applications and comprises five pillars: operational excellence, security, reliability, performance efficiency, and cost optimization. In this course, Mark Wilkins takes an in-depth look at the fifth pillar, performance efficiency. Mark covers the different computing resources—including compute, storage, database, and network—and shows how to optimize performance for each. He also illustrates the importance of fine-tuning performance to maintain efficiency over time. This course is designed to work in conjunction with the remaining courses in the path, and while Mark covers some topics that were detailed in the other pillars, in this course he looks at these topics specifically from the viewpoint of efficiency. Udemy Courses - ZTM Courses - Course

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🔰 AWS Well-Architected Framework: Performance Efficiency Pillar 🎟2021-04-01 • ⏱47m • 💡Intermediate 🗣 Mark Wilkins Learn how to optimize performance of your computing resources in an AWS environment and maintain performance efficiency over time. 📦 Topics: Efficiency Optimization, Enterprise Architecture Planning, Amazon Web Services LinkedIn Learning

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🪂 TORG Quick Airdrop 🥳 Earn $1 to $3 ⚡️ Forward & Invite friends 🔗 Join now https://gleam.io/3fyWb/torg-quick-airdrop-earn-1-to-3 Ends: 10:59AM 20th Sep. Distribution: 11:59AM 20th Sep. (Zurich) ❗️ Important Reminder ❗️ 👉 Amount in USD is for informational purpose only and changed based on the TORG price. 👉 Please turn on notification for @TORGTogether ⛔️ Anyone that claims to be TORG representative and messages you first in a private message is a scammer. If anyone asks you to send money to any address, they are also trying to scam you and should be ignored. Please report these users immediately.

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📦 Exercice Files

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More Python Tips, Tricks, and Techniques for Data Science.zip337.39 MB

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📁 Full description The power and versatility of Python—coupled with its large ecosystem of third-party packages—make it indispensable to data scientists. In this course, instructor Harshit Tyagi shares practical tips and techniques that can help you enhance your own Python data science workflow. Harshit covers how to work with IPython notebooks, including how to debug errors. He shows how to use NumPy to manipulate arrays, as well as how to work with pandas, the data manipulation and analysis tool. He provides tips for visualizing your data with Matplotlib, explaining how to add text to plots and annotate elements on a chart. Plus, get best practices for working with scikit-learn, as well as other machine learning tips. Udemy Courses - ZTM Courses - Course