Published 11/2022
MP4 | Video: h264, 1280x720 | Audio: AAC, 44.1 KHz
Language: English | Size: 1.12 GB | Duration: 1h 54m
Create and collaborate on online documents in real-time and from any device using Google Docs by Google Workspace

Published 11/2022
Created by Being Commerce,Being Commerce
MP4 | Video: h264, 1280x720 | Audio: AAC, 44.1 KHz, 2 Ch
Genre: eLearning | Language: English | Duration: 246 Lectures ( 17h 49m ) | Size: 9.88 GB

Published 11/2022
MP4 | Video: h264, 1280x720 | Audio: AAC, 44.1 KHz
Language: English | Size: 734.74 MB | Duration: 1h 7m
Become Pro in Google Drive cloud storage & increase your productivity to store, share, edit, and many more. Learn More!

2022-11-20
MP4 | Video: h264, 1600x900 | Audio: AAC, 44.1 KHz
Language: Afrikaans | Size: 323.15 MB | Duration: 1h 14m
Seo Link Building Ranking #1 On Google 2022

2022-11-20
MP4 | Video: h264, 960x540 | Audio: AAC, 44.1 KHz
Language: English | Size: 160.35 MB | Duration: 1h 32m
Google Adwords Basic Concepts For Beginners

Published 11/2022
MP4 | Video: h264, 1280x720 | Audio: AAC, 44.1 KHz
Language: English | Size: 547.87 MB | Duration: 1h 2m
Become a Google Calendar expert! Learn everything you need to know about Calendar with this complete walkthrough!

Released: 2020
Duration: 2h 39m | .MP4 1280x720, 30 fps(r) | AAC, 48000 Hz, 2ch | 403 MB
Level: Beginner | Genre: eLearning | Language: English
Google Analytics is the industry standard for web analytics. This powerful tool provides the means to track, analyze, and report on site visits, marketing goals, and ad revenue generated from your site. This course explains how to use Google Analytics to better understand who your digital customers are, how they found your website, and how they engage with your site once they get there. This course covers the platform's out-of-the-box functionality, from account creation to reporting fundamentals. Instructor Corey Koberg explains how to glean insights from the vast array of data available: from averages and segments to trends and context.

Released: 11/2022
Duration: 3h 49m | .MP4 1280x720, 30 fps(r) | AAC, 48000 Hz, 2ch | 618 MB
Level: Intermediate | Genre: eLearning | Language: English
Is Google Cloud Platform (GCP) right for your business? Explore the offerings of this leading cloud services provider. This course is designed for IT professionals—architects, network admins, and technology stakeholders—evaluating GCP for their organizations as well as those tasked with getting apps up and running on the Google cloud. Learn how to set up an account and use the console, APIs, Cloud Shell, and other GCP tools. Then explore the core services—serverless computing, data storage, and machine learning—and the developer tools that Google provides for building your own custom solutions. Along the way, instructor Lynn Langit shows how to use GCP to manage virtual machines, Docker containers, Kubernetes clusters, functions, relational data stores, NoSQL data, and more. She also shares practical tips for saving money and planning deployments, and reviews examples of common architectural patterns.

Released: 11/2018
Duration: 39m | .MP4 1280x720, 30 fps(r) | AAC, 48000 Hz, 2ch | 81 MB
Level: Intermediate | Genre: eLearning | Language: English
Predictive analytics use historic data to look forward, enabling organizations to make better decisions. However, making accurate predictions from big data can be an overwhelming task. Enter Google Cloud Platform (GCP), a suite of cloud-computing services that bring scalability, elasticity, and automated machine learning to predictive analytics. This course—one of a series by data scientist Kumaran Ponnambalam—shows how to apply the power of GCP to generate predictions for your business. Start off by exploring the different tools and features for predictive analytics in GCP, including Cloud Dataproc, Cloud ML Engine, and the machine learning APIs such as Cloud Translation, Cloud Vision, and Cloud Video Intelligence. Then explore learn how to build, train, and deploy models to create predictions. Plus, learn best practices for cost control, testing, and performance monitoring of predictive models.

Released: 11/2018
Duration: 57m | .MP4 1280x720, 30 fps(r) | AAC, 48000 Hz, 2ch | 134 MB
Level: Intermediate | Genre: eLearning | Language: English
Cloud computing brings unlimited scalability and elasticity to data science applications. Expertise in the major platforms, such as Google Cloud Platform (GCP), is essential to the IT professional. This course—one of a series by cloud engineering specialist and data scientist Kumaran Ponnambalam—shows how to conduct exploratory data analytics with GCP. First, review the concepts of segmentation and profiling. Then get hands on, as you learn to perform both text and visual analysis of data using tools provided by GCP: Cloud Datalab, BigQuery, Cloud Dataflow, and Data Studio. Finally, look at an end-to-end use case that applies what you've learned in the course.