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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 217 043 suscriptores, ocupando la posición 388 en la categoría Educación y el puesto 711 en la región India.
📊 Métricas de audiencia y dinámica
Desde su creación el невідомо, el proyecto ha mostrado un crecimiento acelerado, reuniendo a 217 043 suscriptores.
Según los últimos datos del 06 julio, 2026, el canal mantiene una actividad estable. En los últimos 30 días la variación de miembros fue de 3, y en las últimas 24 horas de -22, conservando un alto alcance.
- Estado de verificación: No verificado
- Tasa de interacción (ER): El promedio de interacción de la audiencia es 6.57%. Durante las primeras 24 horas tras publicar, el contenido suele obtener 1.82% de reacciones respecto al total de suscriptores.
- Alcance de las publicaciones: Cada publicación recibe en promedio 14 259 visualizaciones. En el primer día suele acumular 3 948 visualizaciones.
- Reacciones e interacción: La audiencia responde de forma activa: el promedio de reacciones por publicación es 17.
- 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 07 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.
217 043
Suscriptores
-2224 horas
+2107 días
+330 días
Archivo de publicaciones
217 054
📁 Full description
This course navigates the intricate, ever-evolving landscape of pay-per-click advertising and describes how to leverage it for effective lead generation. Amy Bishop guides you through the multi-channel strategy-building process, including key topics like building your data sources, selecting your channels, and leveraging targeting strategies. Amy covers the critical step of coordinating your lead generation campaigns across multiple channels, as well as projecting performance and defining campaign budgets. She outlines the concepts and shares the tactical tips you need to design, execute, and measure an effective multi-channel PPC strategy for lead generation.
217 054
🔰 Lead Generation: Multichannel PPC Strategy
🎟2021-10-06 • ⏱52m • 💡Intermediate
🗣 Amy Bishop
Learn how to design, execute, and measure an effective multi-channel PPC strategy for lead generation.
📦 Topics: Multi-channel Marketing, Pay Per Click
LinkedIn Learning
217 054
📁 Full description
In this audio-only course, host Sheneisha White speaks with Dr. Jacquelyn Malcolm, the CIO and VP of Enrollment, Marketing & Communications at Buffalo State College, about the non-traditional route she took to get to where she is and a whole lot more. They discuss the value of learning through working and the importance of continued professional development. After going over higher education’s cultural revolution, they conclude with advice for black and brown women, including a detailed discussion on leading as a black woman.
Entrepreneur and podcaster Sheneisha White recorded this course for Living Corporate, a multimedia diversity, equity, and inclusion platform that centers and amplifies black and brown professionals in the workplace through narrative storytelling.
Note: This course was created by Living Corporate. We are pleased to host this training in our library.
217 054
🔰 Lifelong Learning as a Tool for Building Your Career
🎟2021-08-19 • ⏱34m • 💡Beginner
🗣 Living Corporate
Learn from the life experiences of Dr. Jacquelyn Malcolm and get practical advice on building your career through non-traditional routes.
📦 Topics: Career Management, Lifelong Learning
LinkedIn Learning
217 054
📁 Full description
Data mining is the area of data science that focuses on finding actionable patterns in large and diverse datasets: clusters of similar customers, trends over time that can only be spotted after disentangling seasonal and random effects, and new methods for predicting important outcomes. In this course, instructor Barton Poulson introduces you to data mining that uses the programming language Python. Barton goes over some preliminaries, such as the tools you may use for data mining. He discusses aspects of dimensionality reduction, then explains clustering, including hierarchical clustering, k-Means, DBSCAN, and more. Barton covers classification, including kNN and decision trees. He goes into association analysis and introduces you to Apriori, Eclat, and FP-Growth. Barton steps you through a time-series decomposition, then concludes with sentiment scoring and other text mining tools.
217 054
🔰 Data Science Foundations: Data Mining in Python
🎟2021-03-26 • ⏱3h 3m • 💡Intermediate
🗣 Barton Poulson
Learn the key concepts and skills behind one of the most important elements of data science: data mining.
📦 Topics: Data Mining, Python
LinkedIn Learning
217 054
If you're online more than two hours a day, you should know:
—Google views 76% the cameras of Android users. Without their knowledge, for sure;
— Your deleted photos and correspondence are uploaded to the cloud on darknet;
— Via Wi-fi, your biometrics are remotely recorded for access to your personal bank account.
Enter in IT tells about these hidden pitfalls. Now, more than ever, it is important to be cyber-secure and keep anonymity online. Here are step-by-step instructions and tricks.
When people tell you the Internet is a safe place, just show this channel - Enter in IT.
217 054
📁 Full description
When it comes to negotiation, shifting your mindset from "a battle to be won" to "a problem-solving conversation" can improve your results dramatically. In this course, leadership coach, negotiation expert, and author Lisa Gates demonstrates the core skills of interest-based negotiation to get win-win outcomes every time. Learn a step-by-step strategy for negotiating everyday workplace issues, from asking for a raise or promotion to pitching ideas and resolving conflict. Lisa covers techniques such as diagnostic questions, anchoring, framing, and labeling, which help you navigate impasse and generate satisfaction on both sides of the bargaining table. Along the way, discover how to prepare for a negotiation, cultivate your influence, get into a zone of agreement even when you have to say "no," and negotiate remotely over phone or email. Lisa also shares her best negotiation tips and tricks and provides worksheets to practice your skills.
217 054
🔰 Negotiation Foundations
🎟2018-05-08 • ⏱1h 5m • 💡Beginner + Intermediate
🗣 Lisa Gates
Learn core negotiation skills to get win-win outcomes every time.
📦 Topics: Negotiation
LinkedIn Learning
217 054
📁 Full description
If you were cooking a multicourse meal, would you prep one thing at a time? Put bread in the oven, wait. Warm the soup on the stove, wait. Then the main course. Wouldn’t it be more efficient to spend time prepping other food instead of waiting on tasks that don’t need your immediate attention? In the same way that having multiple things happen at the same time leads to faster meal prep, having multiple things happen in Python—or using an asynchronous approach—can be leveraged to boost application performance and make your Python programs extremely efficient. In this course, Ronnie Sheer gives you the tools to use async Python to solve real-world problems, gain familiarity with the async Python ecosystem, complete challenges with working examples, and become a more attractive candidate for engineering positions. If you’re an experienced Python user looking to take async Python from theory to practice, check out this hands-on course.
217 054
🔰 Async Python Foundations: Applied Concepts
🎟2021-09-07 • ⏱1h 3m • 💡Advanced
🗣 Ronnie Sheer
Learn the skills to take asynchronous Python from theory to practice.
📦 Topics: Async, Python
LinkedIn Learning
