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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 217 142 suscriptores, ocupando la posición 389 en la categoría Educación y el puesto 717 en la región India.
📊 Métricas de audiencia y dinámica
Desde su creación el невідомо, el proyecto ha mostrado un crecimiento acelerado, reuniendo a 217 142 suscriptores.
Según los últimos datos del 21 junio, 2026, el canal mantiene una actividad estable. En los últimos 30 días la variación de miembros fue de 210, y en las últimas 24 horas de -2, conservando un alto alcance.
- Estado de verificación: No verificado
- Tasa de interacción (ER): El promedio de interacción de la audiencia es 6.71%. Durante las primeras 24 horas tras publicar, el contenido suele obtener 1.41% de reacciones respecto al total de suscriptores.
- Alcance de las publicaciones: Cada publicación recibe en promedio 14 571 visualizaciones. En el primer día suele acumular 3 053 visualizaciones.
- Reacciones e interacción: La audiencia responde de forma activa: el promedio de reacciones por publicación es 13.
- 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 22 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.
217 142
Suscriptores
-224 horas
+27 días
+21030 días
Archivo de publicaciones
217 142
🔸 Full description 🔸
Many stock market trades are conducted with algorithms, computer programs that buy or sell stocks according to mathematical formulas. These equity trades happen at a speed and frequency that humans cannot replicate. It's important for finance professionals and everyone who invests in the stock market to know how these algorithms work. In this course, Professor Michael McDonald shows how to develop a back-tested, rules-based trading strategy and program a simple trading algorithm of your own. Professor McDonald goes over the basics of securities markets, from stocks, bonds, and derivatives to predicting values with regressions. He explains investing and securities, including case studies and a chance to visually examine trading relationships. He shares the steps to build your own algorithms, then goes over buying and selling with an algorithm, expanding the algorithm to other securities, and analyzing scenarios in investing. Plus, Professor McDonald covers practical examples of trading with algorithms.
217 142
🔅 Algorithmic Trading and Stocks Essential Training
🔊 Author: Michael McDonald
🔸 Date: 2022-09-15
⏰ Duration: 2h 22m
🌀
Learn how to develop a back-tested, rules-based stock trading strategy and program a simple trading algorithm of your own.
📗 Topics: Algorithmic Trading, Stocks
🔷 Join @linkedin_learning for more courses217 142
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217 142
🌐 Explore a World of Knowledge in Business & Finance 🌐
🚀 Elevate Your Skills with Expert-led Courses in:
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217 142
🔸 Full description 🔸
You may love creating content, but how can you leverage your content into a reliable source of income? In this course, digital marketing consultant and instructor Sam Dey guides you through practical tips to generate revenue as a creator. Learn what adshare revenue is and how it works. Go over adshare platforms, pros and cons of the revenue share model, and ways to increase your revenue share. Find out how affiliate marketing works, as well as what affiliate programs are available, how to promote affiliate links, and how to create your own affiliate program. Explore ways you can sell products through print on demand, publishing an ebook, creating online courses, or creating an ecommerce website. Plus, dive into techniques you can use to attract sponsorships.
217 142
🔅 Monetization Tips for Creators
🌐 Author: Sam Dey
🔰 Level: Beginner + Intermediate
⏰ Duration: 40m
🌀
Learn new ways to turn the content you create into revenue streams.
📗 Topics: Content Monetization, Content Strategy
📤 Join @linkedin_learning for more courses217 142
Repost from Linkedin Learning
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217 142
Happy New Year!
In the new 2024 year, we wish a rapid increase in subscribers, high posts reach, high-quality active audience and, of course, happiness and health.
See you in 2024,
@Linkedin_Learning
217 142
🔸 Full description 🔸
If youve ever seen a PowerPoint presentation, youve probably seen a bad PowerPoint presentation. The phrase “death by PowerPoint” exists for a reason. Bad and boring PowerPoint presentations are often due to bad slides, and bad presentations are so prevalent that many people feel like the problem is PowerPoint itself. In this course, PowerPoint MVP Heather Ackmann shows you how to use PowerPoint to create better visuals that support and complement your message, improve the presentation environment, and cater to your audience's needs. Learn about popular design principles, accessibility guidelines, and other tools to improve your PowerPoint slides—and your presentations—quickly.
217 142
🔅 PowerPoint: Designing Better Slides
🌐 Author: Heather Ackmann
🔰 Level: Intermediate
⏰ Duration: 2h 42m
🌀
PowerPoint MVP Heather Ackmann shows how to create better PowerPoint slides that will keep your audience engaged and get your message across.
📗 Topics: Information Graphics, Microsoft PowerPoint
📤 Join @linkedin_learning for more courses217 142
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