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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 216 863 suscriptores, ocupando la posición 385 en la categoría Educación y el puesto 718 en la región India.
📊 Métricas de audiencia y dinámica
Desde su creación el невідомо, el proyecto ha mostrado un crecimiento acelerado, reuniendo a 216 863 suscriptores.
Según los últimos datos del 01 julio, 2026, el canal mantiene una actividad estable. En los últimos 30 días la variación de miembros fue de -205, y en las últimas 24 horas de 56, conservando un alto alcance.
- Estado de verificación: No verificado
- Tasa de interacción (ER): El promedio de interacción de la audiencia es 6.64%. Durante las primeras 24 horas tras publicar, el contenido suele obtener 1.84% de reacciones respecto al total de suscriptores.
- Alcance de las publicaciones: Cada publicación recibe en promedio 14 405 visualizaciones. En el primer día suele acumular 3 998 visualizaciones.
- Reacciones e interacción: La audiencia responde de forma activa: el promedio de reacciones por publicación es 12.
- 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 02 julio, 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.
216 863
Suscriptores
+5624 horas
-4037 días
-20530 días
Archivo de publicaciones
216 863
American drew sneakers just for fun and posted them in the Adidas metaverse store. They were bought for $30k 🤷
Metaverses are a new trend that even a lazy person will earn on. How to go into them if you're not very great at this topic?
Check out the MetaWorlds channel. Everything here is for beginners. How to buy a piece of digital land for a dollar and sell it for $8,000? Or maybe draw a meta-apartment and sell it for a real price?
Don't miss another trend where you can make jack: @metawolds
216 863
📁 Full description
GitLab is a web-based tool designed to help developers collaborate more effectively throughout each phase of the software development life cycle. Curious about how to fit GitLab into your team's workflow?In this course, Josh Samuelson shows you how, covering how to set up a GitLab project, edit files, and leverage key features to collaborate more effectively with your teammates. Learn how to use the basic GitLab editor to make changes to a file, create branch and merge requests, and interpret the Git commit history. Find out more about using key collaboration features, such as Todos and issues, a built-in ticketing system for tracking work on your projects.
216 863
🔰 Learning GitLab
🎟2022-02-07 • ⏱1h 3m • 💡Beginner
🗣 Josh Samuelson
Learn how to use GitLab to develop software. Discover how to set up a GitLab project, edit files, and leverage key features to collaborate more effectively.
📦 Topics: Gitlab
LinkedIn Learning
216 863
📁 Full description
Excel PivotTables–which allow you to quickly calculate and analyze large amounts of data–are one of the most powerful features of Microsofts ubiquitous spreadsheet tool. But many users have only a basic understanding of how PivotTables work. In this course, instructor Jess Stratton offers a plethora of bite-sized tips designed to deepen your understanding of how PivotTables work and how to use them more effectively.Learn how to properly format data and create a basic PivotTable in Excel. Discover ways to adjust, rearrange, and group data to calculate and summarize values that you can put to use on the job. Get tips on data filtering and sorting, conditional formatting, and using PivotCharts and slicers. Along the way, Jess shows how to deal with common PivotTable error messages, such as invalid field names and overlapping reports. By the end of this course, youll be able to create more robust PivotTables in minutes—just in time for that next meeting.
216 863
🔰 Excel PivotTable Quick Tips
🎟2022-02-15 • ⏱16m • 💡General
🗣 Jess Stratton
Explore quick, bite-sized tips on how to analyze data quickly with PivotTables in Microsoft Excel.
📦 Topics: Pivot Tables, Microsoft Excel
LinkedIn Learning
216 863
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216 863
📁 Full description
Artificial intelligence is a growing area of interest for the future of work. However, it can feel overwhelming to begin learning about AI given the vastness of the subject. In this course, Jim Sterne, a longtime marketing analyst passionate about advancing AI, shares the basics of what you need to know to get started using artificial intelligence. First, Jim reviews the basics of what artificial intelligence truly is. He then explores some additional concepts related to AI, such as natural language processing, computer vision, and machine learning. Then, Jim shares applications of machine learning, artificial intelligence, and how the two work together. He also reviews the relationship between humans and AI, and how you can use AI to your benefit. He closes by reviewing the future state of artificial intelligence. Upon completion of this course, you will have a solid base of knowledge to begin leveraging AI to your advantage.
This course was created by Madecraft. We are pleased to host this training in our library.
216 863
🔰 Artificial Intelligence for Students
🎟2021-07-05 • ⏱1h 28m • 💡Beginner
🗣 Jim Sterne
Learn the fundamentals of artificial intelligence, a growing area of technology that will be prevalent for years to come.
📦 Topics: Natural Language Processing, Machine Learning, Artificial Intelligence
LinkedIn Learning
216 863
📁 Full description
Get Ben Sullins's 12 must-have SQL techniques for data science pros—engineers, DevOps, data miners, programmers, and other systems specialists. Ben's tips focus on practical applications of SQL queries for data analysis. Learn how to retrieve data, join tables, calculate rolling averages and rankings, work with dates and times, use window functions, aggregate and filter data, and much more. Each tip is short, relevant, and up to date with current industry best practices—making this the perfect course for busy analysts who normally struggle to find time to build their skills.
216 863
🔰 SQL Tips and Tricks for Data Science
🎟2016-11-29 • ⏱59m • 💡Intermediate
🗣 Ben Sullins
Get Ben Sullins's 12 must-have SQL techniques for data science pros—engineers, DevOps, data miners, programmers, and other systems specialists.
📦 Topics: SQL
LinkedIn Learning
