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 11/2022
MP4 | Video: h264, 1280x720 | Audio: AAC, 44.1 KHz, 2 Ch
Skill Level: Beginner | Genre: eLearning | Language: English + srt | Duration: 1h 16m | Size: 473 MB
Cybersecurity is one of the most important—and least talked-about—business issues today. But how can you prepare your organization against the threat of a devastating attack? Join instructor and cybersecurity expert Matthew Rosenquist as he identifies the five biggest mistakes made by cybersecurity organizations, regardless of their size or stature.

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Released: 11/2022
Duration: 1h 2m | .MP4 1280x720, 30 fps(r) | AAC, 48000 Hz, 2ch | 142 MB
Level: Beginner | Genre: eLearning | Language: English

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.

Released: 09/2018
Duration: 1h | .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 veteran cloud engineering specialist and data scientist Kumaran Ponnambalam—shows how to design and build data warehouses using GCP. Explore the different types of storage options available in GCP for files, relational data, documents, and big data, including Cloud SQL, Cloud Bigtable, and Cloud BigQuery. Then learn how to use one solution, BigQuery, to perform data storage and query operations, and review advanced use cases, such as working with partition tables and external data sources. Finally, learn best practices for table design, storage and query optimization, and monitoring of data warehouses in BigQuery.

Released: 09/2019
Duration: 2h 7m | .MP4 1280x720, 30 fps(r) | AAC, 48000 Hz, 2ch | 309 MB
Level: Beginner | Genre: eLearning | Language: English
The hype about big data may have peaked several years ago, but big data is far from gone. Instead it forms the foundation for some of today's most exciting technologies. Artificial intelligence (AI), machine learning, and data science rely on big data, or data that—by virtue of its velocity, volume, or variety—can't be easily stored or analyzed with traditional methods. In this nontechnical course, Barton Poulson digs into the topic of big data, explaining how it works and shapes our modern data universe. Barton explains big data's relationship to AI, data science, social media, and the Internet of Things (IoT). He goes over some of the ethical issues behind the use of big data. Plus, he covers techniques involved in analyzing big data, including data mining and predictive analytics.

Released: 11/2022
Duration: 8h 30m | .MP4 1280x720, 30 fps(r) | AAC, 48000 Hz, 2ch | 1.42 GB
Level: Beginner + Intermediate | Genre: eLearning | Language: English
One of the biggest challenges for user experience designers is the ever-increasing kinds of experiences. Seemingly everywhere we look—from phones, tablets, and watches to cars and refrigerators—we see a screen. Large screen or small, high-res or low, as user experiences become more specialized, designers and developers have a lot more to consider. Luckily, Adobe XD was designed exactly for this purpose, and in this course, Tom Green gets you up and running quickly with this vector-based UX tool. He starts with an overview of the basic workspace, toolbars, and panels, then shows how to create and manage projects. He explains how to integrate XD with Photoshop, Illustrator, and Sketch, along with a host of plugins that extend XD's functionality. Tom also covers how to create a design system and document it, new methods for sharing your prototypes with your stakeholders and team members, and many more ways Adobe XD can help you meet the challenges of modern UX design and development.

Released: 11/2022
Duration: 1h 11m | .MP4 1280x720, 30 fps(r) | AAC, 48000 Hz, 2ch | 125 MB
Level: Intermediate | Genre: eLearning | Language: English
Metadata, or data about data, is an important aspect of working with information. From file modification dates to the lens used to take a photo, these bits of information attached to or associated with files tell us a lot of information. And, while metadata is useful in many ways, it can also reveal sensitive information. In this course, LinkedIn Senior Staff Instructor Scott Simpson details how to view and modify file metadata on Windows, Linux, and macOS. He demonstrates how to leverage platform metadata tools and discusses the security implications of metadata.