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Linkedin Learning
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Linkedin Learning Download and watch Linkedin Learning Courses 📈 Pᴀɪᴅ ᴀᴅs : https://telega.io/c/linkedin_learning
Mostrar más📈 Análisis del canal de Telegram Linkedin Learning
El canal Linkedin Learning (@linkedin_learning) en el segmento lingüístico de Inglés es un actor destacado. Actualmente la comunidad reúne a 217 219 suscriptores, ocupando la posición 390 en la categoría Educación y el puesto 714 en la región India.
📊 Métricas de audiencia y dinámica
Desde su creación el невідомо, el proyecto ha mostrado un crecimiento acelerado, reuniendo a 217 219 suscriptores.
Según los últimos datos del 23 junio, 2026, el canal mantiene una actividad estable. En los últimos 30 días la variación de miembros fue de 189, y en las últimas 24 horas de 76, conservando un alto alcance.
- Estado de verificación: No verificado
- Tasa de interacción (ER): El promedio de interacción de la audiencia es 6.79%. Durante las primeras 24 horas tras publicar, el contenido suele obtener 1.31% de reacciones respecto al total de suscriptores.
- Alcance de las publicaciones: Cada publicación recibe en promedio 14 740 visualizaciones. En el primer día suele acumular 2 837 visualizaciones.
- Reacciones e interacción: La audiencia responde de forma activa: el promedio de reacciones por publicación es 14.
- Intereses temáticos: El contenido se centra en temas clave como author, linkedin, linux, javascript, 040k|.
📝 Descripción y política de contenido
El autor describe el recurso como un espacio para expresar opiniones subjetivas:
“Linkedin Learning
Download and watch Linkedin Learning Courses
📈 Pᴀɪᴅ ᴀᴅs :
https://telega.io/c/linkedin_learning”
Gracias a la alta frecuencia de actualizaciones (últimos datos recibidos el 24 junio, 2026), el canal mantiene la vigencia y un amplio alcance. La analítica demuestra que la audiencia interactúa activamente con el contenido, lo que lo convierte en un punto de referencia dentro de la categoría Educación.
217 219
Suscriptores
+7624 horas
+887 días
+18930 días
Archivo de publicaciones
217 213
🔸 Full description 🔸
Are you looking for a practical, simple, visual introduction to creating an AI-powered application? This course was designed for you. While GPT-4 has piqued much of the worlds attention, few people have developed the skills required to build their own AI-powered tools. Join instructor Denys Linkov to find out more about how to get started building AI-powered applications using GPT-4. In this course, Denys offers a comprehensive overview of the OpenAI playground, including the basics of large language models and prompts. Get tips for beginner, intermediate, and advanced prompting to start creating a no-code chatbot on your own. Along the way, test out your new skills in the challenge exercises provided at the end of each section of the course.
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🔅 GPT-4 Foundations: Building AI-Powered Apps
🌐 Author: Denys Linkov
🔰 Level: Beginner
⏰ Duration: 1h 2m
🌀
Learn the basics of prompting and connecting prompts together to build a small application with GPT-4.
📗 Topics: GPT-4, Generative AI, Artificial Intelligence
📤 Join @linkedin_learning for more courses217 213
🔅 Python Statistics Essential Training
🌐 Author: Matt Harrison
🔰 Level: Advanced
⏰ Duration: 2h 39m
🌀
Learn to use Python to unlock the power of data and use it to inform decisions.
📗 Topics: Statistics, Python
📤 Join @python_trainings for more courses217 213
🔸 Full description 🔸
Suggested Prerequisites
Be familiar with variables, functions, and conditional logic.
Watch the Programming Foundations: Fundamentals course if you want to understand the syntax for basic Python commands.
Be sure to install any version of Python that starts with a “3.” Python 3.8.0 is used in the course.
Use any code editor. Visual Studio Code is used in the course.
Projects
Perform various tasks with a collection that has two groups of variables, such as creating a dictionary.
Create a for loop by printing the names of different fruits in the terminal each on a separate line.
Take a value, convert it, and print the result to the terminal with a text description using string concatenation.
Find and fix some errors in Python code, including syntax, runtime, and logic errors.
Continue your coding journey as you dive deeper into the foundational concepts, practices, and terminology of programming. In this installment of the Programming Foundations series, instructor Sasha Vodnik goes beyond the basics, using Python to tackle a variety of intermediate and advanced concepts and skills you can add to your programming repertoire.
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🔅 Programming Foundations: Beyond the Fundamentals
🌐 Author: Sasha Vodnik
🔰 Level: Beginner
⏰ Duration: 2h 4m
🌀
Dive deeper into the foundational concepts, practices, and terminology of programming. Learn how to work with collections, use external code, find and fix bugs, and more.
📗 Topics: Programming
📤 Join @linkedin_learning for more courses217 213
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AI tool in your pocket. Most popular AI service has appeared in the Telegram — this is a 100% analogue of Midjourney.
Every day, based on user requests, it creates millions of pictures for every taste. And the guys from Pixy transferred it to a coolest telegram bot.
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🚨 720% – average upside of ERC20 tokens when added to CEX.
Did you miss on PEPE, BALD and APE? Not your fault, you just didn't have the info. Market presents new oppottunities every day, follow professionals like DON CRYPTON to be aware of it.
Limited to 20 users only – https://t.me/+2XRi3V7RpQw5OWI0
217 213
🔸 Full description 🔸
The myriad formulas and functions in Excel are a large part of what makes it such a uniquely powerful program. But for many users, figuring out how to apply these formulas and functions to solve everyday problems can seem overwhelming. In this course, staff instructor Jess Stratton demystifies these powerful features, sharing bite-sized tips designed to help you work faster and more efficiently in Excel. Jess begins by covering the fundamental concepts you need to get started with functions and formulas, such as how to programmatically reference cells located in other worksheets and combine cell data with other characters. She goes over identifying values, then digs into a variety of useful Excel functions. Jess highlights how to count cells that meet a specific set of criteria using COUNTIF, extract characters with LEFT and RIGHT, use INDEX and MATCH to retrieve a value, and much more.
217 213
🔅 Excel Formulas and Functions Quick Tips
🌐 Author: Jess Stratton
🔰 Level: General
⏰ Duration: 35m
🌀
These bite-sized tips will help you learn how to use Excel's most common functions and formulas.
📗 Topics: Microsoft Excel
📤 Join @linkedin_learning for more courses