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Linkedin Learning

Linkedin Learning

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

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📈 Telegram kanali Linkedin Learning analitikasi

Linkedin Learning (@linkedin_learning) Ingliz til segmentidagi kanali faol ishtirokchi. Hozirda hamjamiyat 216 960 obunachidan iborat bo'lib, Taʼlim toifasida 386-o'rinni va Hindiston mintaqasida 721-o'rinni egallagan.

📊 Auditoriya ko‘rsatkichlari va dinamika

невідомо sanasidan buyon loyiha tez o‘sib, 216 960 obunachiga ega bo‘ldi.

02 Iyul, 2026 dagi oxirgi ma’lumotlarga ko‘ra kanal barqaror faollikka ega. Oxirgi 30 kunda obunachilar soni -95 ga, so‘nggi 24 soatda esa 83 ga o‘zgardi va umumiy qamrov yuqori darajada qolmoqda.

  • Tasdiqlash holati: Tasdiqlanmagan
  • Jalb etish (ER): Auditoriya o‘rtacha 6.82% darajada jalb etiladi. Nashrdan keyingi dastlabki 24 soatda kontent odatda umumiy obunachilar sonining 1.87% ini tashkil etuvchi reaksiyalarni to‘playdi.
  • Post qamrovi: Har bir post o‘rtacha 14 787 marta ko‘riladi; birinchi sutkada odatda 4 053 ta ko‘rish yig‘iladi.
  • Reaksiyalar va o‘zaro ta’sir: Auditoriya faol: har bir postga o‘rtacha 12 ta reaksiya keladi.
  • Tematik yo‘nalishlar: Kontent author, linkedin, linux, javascript, 040k| kabi asosiy mavzularga jamlangan.

📝 Tavsif va kontent siyosati

Muallif resursni shaxsiy fikrni ifoda etish maydoni sifatida ta’riflaydi:
Linkedin Learning Download and watch Linkedin Learning Courses 📈 Pᴀɪᴅ ᴀᴅs : https://telega.io/c/linkedin_learning

Yuqori yangilanish chastotasi (oxirgi ma’lumot 03 Iyul, 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.

216 960
Obunachilar
+8324 soatlar
-2627 kunlar
-9530 kunlar
Postlar arxiv
🔰 Advanced NLP with Python for Machine Learning 🎟2020-08-10 • ⏱2h 14m • 💡Advanced 🗣 Derek Jedamski Build upon your founda
🔰 Advanced NLP with Python for Machine Learning 🎟2020-08-10 • ⏱2h 14m • 💡Advanced 🗣 Derek Jedamski Build upon your foundational knowledge of natural language processing (NLP) by exploring more complex topics such as word2vec, doc2vec, and recurrent neural networks. 📦 Topics: Natural Language Processing, Machine Learning, Python LinkedIn Learning

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📦 Exercice Files

Connecting with Your Audience Using Video @Linkedin_Learning

📁 Full description Learn about the power of video and how to use it to develop a strong online presence and connect with an audience. Appearing authentic on camera doesn’t come naturally to everyone, but there are techniques you can practice to become comfortable on camera. Instructor Jaime Cohen walks you through how to use video to create an effective online presence, how to become comfortable on camera, and how to connect with your audience. Jaime covers both the technical and performance aspects of cultivating a unique personal brand online through video.

🔰 Connecting with Your Audience Using Video 🎟2019-12-19 • ⏱36m • 💡General 🗣 Jaime Cohen Learn about how to gain confidenc
🔰 Connecting with Your Audience Using Video 🎟2019-12-19 • ⏱36m • 💡General 🗣 Jaime Cohen Learn about how to gain confidence on video and tell your story effectively—two essential skills to build a strong online presence and turn your audience into a thriving community. 📦 Topics: Personal Branding, On-camera Experience, Online Video Production LinkedIn Learning

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CRISC Cert Prep: 2 IT Risk Assessment @Linkedin_Learning

📁 Full description The Certified in Risk and Information Control (CRISC) certification is an established, well-recognized credential from ISACA. A CRISC certification shows employers that you understand how to identify and manage IT risk in an enterprise and that you’re capable of implementing and maintaining the controls necessary to address risks. This series of courses explains the four IT risk management domains. In this course, instructor Jerod Brennen focuses on IT Risk Assessment. Jerod covers risk assessment fundamentals, then goes into how to determine risk rankings. He goes over methods to analyze risk scenarios for your organizational structure, policies, technology, architecture, and more. Jerod discusses how to analyze the effectiveness of your current controls, including leveraging assessments and performing gap analysis. Jerod concludes with useful advice on communicating your risk assessment results and updating your risk register.

🔰 CRISC Cert Prep: 2 IT Risk Assessment 🎟2021-07-21 • ⏱1h 50m • 💡Intermediate 🗣 Jerod Brennen Learn about IT risk assessm
🔰 CRISC Cert Prep: 2 IT Risk Assessment 🎟2021-07-21 • ⏱1h 50m • 💡Intermediate 🗣 Jerod Brennen Learn about IT risk assessment, one of the four IT risk management domains, and continue your preparations for the CRISC certification exam. 📦 Topics: IT Risk Management, Risk Assessment LinkedIn Learning

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🧿 🔥 A new Course has been added to the channel @zero_to_mastery.

📦 Exercice Files

Machine Learning with Data Reduction in Excel, R, and Power BI @Linkedin_Learning

🔰 Machine Learning with Data Reduction in Excel, R, and Power BI 🎟2022-02-09 • ⏱3h 32m • 💡Intermediate 🗣 Helen Wall Analy
🔰 Machine Learning with Data Reduction in Excel, R, and Power BI 🎟2022-02-09 • ⏱3h 32m • 💡Intermediate 🗣 Helen Wall Analytics is a big part of how the world does data science. But did you know that you can use applications like Excel, R, and Power BI for high-dimensional data reduction with machine learning models and algorithms? In this course, instructor Helen Wall gives you an overview of machine learning and data reduction techniques that enable you to analyze large datasets and determine trends with a variety of different classifications. Learn about machine learning models like clusters and anomaly detection algorithms. Find out more about distance, dimensionality, and granularity, as you explore dimensional and numerical data reduction techniques, analytic models, and visualization tools in Excel, R, and Power BI. Along the way, get tips on how to integrate your methods so you can scale them for sharing with a wider audience. 📦 Topics: Machine Learning, Data Reduction LinkedIn Learning

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🔰 100 Days of Code – The Complete Python Pro Bootcamp for 2022 ⏱ 60 Hours 📦 230 Lessons At 56+ hours, this Python course is
🔰 100 Days of Code – The Complete Python Pro Bootcamp for 2022 ⏱ 60 Hours 📦 230 Lessons At 56+ hours, this Python course is without a doubt the most comprehensive Python course available anywhere online. Even if you have zero programming experience, this course will take you from beginner to professional. Master Python by building 100 projects in 100 days. Learn data science, automation, build websites, games and apps! Taught By: Dr. Angela Yu Download Full Course: https://t.me/+xQje4t_JCfI1N2Nk Download All Courses: https://t.me/zero_to_mastery

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🧿 🔥 A new Course has been added to the channel @zero_to_mastery.

Creating Safe Spaces for Tough Conversations at Work @Linkedin_Learning