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Tutorials

Delivering Data–Driven Decisions with AWS – Applying Machine Learning, Data Engineering, and Generative AI

Baturi 03 January 2024 26 0
Delivering Data–Driven Decisions with AWS – Applying Machine Learning, Data Engineering, and Generative AI
Free Download Delivering Data–Driven Decisions with AWS – Applying Machine Learning, Data Engineering, and Generative AI
Released 1/2024
MP4 | Video: h264, 1280x720 | Audio: AAC, 44.1 KHz, 2 Ch
Skill Level: Beginner | Genre: eLearning | Language: English + srt | Duration: 1h 50m | Size: 276 MB
AWS skills are in high demand as startups, consulting firms, and enterprises modernize their applications and transform data. Data analytics cannot scale without the help of cloud computing. In this course, instructor Wendy Wong teaches AWS skills with practical applications of machine learning, data engineering, and generative AI to help you make faster decisions for your organization and customers. This course guides you through the process of learning AWS skills with practical scenarios that complement agile projects and upskill in a no-code or low-code environment to deliver customer solutions that can be solved through machine learning, AI, data engineering, and data analytics at scale with cloud computing.

Tutorials

Data Engineering with dbt

Baturi 03 January 2024 18 0
Data Engineering with dbt
Free Download Data Engineering with dbt
Released 1/2024
MP4 | Video: h264, 1280x720 | Audio: AAC, 44.1 KHz, 2 Ch
Skill Level: Intermediate | Genre: eLearning | Language: English + srt | Duration: 1h 16m | Size: 186 MB
Data Build Tool (dbt) has quickly become an essential tool in many data stacks ranging from startups to big tech for managing data transformations. In this course, data engineer Mark Freeman helps you get started with setting up, running, and managing a dbt project via the open-source offering dbt Core. Learn how to install dbt Core, configure an environment for dbt, create and manage a dbt project, and deploy a dbt project in production. If you're a data professional tasked with implementing dbt within your organization, recently joined a team utilizing dbt and need to upskill, or just want to learn about dbt to increase your competitiveness within the data job market, check out this course.

Tutorials

Building Blocks for Deep Learning in the Wolfram Language

Baturi 03 January 2024 27 0
Building Blocks for Deep Learning in the Wolfram Language
Free Download Building Blocks for Deep Learning in the Wolfram Language
Released 1/2024
MP4 | Video: h264, 1280x720 | Audio: AAC, 44.1 KHz, 2 Ch
Skill Level: Advanced | Genre: eLearning | Language: English + srt | Duration: 54m | Size: 120 MB
This course explores how to construct neural networks in the Wolfram Language. The Wolfram Language neural network framework provides symbolic building blocks to build, train, and tune a network, as well as automatically process input and output using encoders and decoders. Discover how to build feed-forward networks, and learn about recurrent neural nets and why they are interesting.

Tutorials

Becoming a Data Analyst (Whether That Word Is in Your Title or Not)

Baturi 03 January 2024 21 0
Becoming a Data Analyst (Whether That Word Is in Your Title or Not)
Free Download Becoming a Data Analyst (Whether That Word Is in Your Title or Not)
Released 1/2024
MP4 | Video: h264, 1280x720 | Audio: AAC, 44.1 KHz, 2 Ch
Skill Level: Intermediate | Genre: eLearning | Language: English + srt | Duration: 59m | Size: 145 MB
Data analytics—the science of applying data analysis to solve problems—affects every aspect of business. Moreover, the stakes have never been higher for analysts as the opportunities for data analysis have reached unprecedented levels. Yet the growing complexity of data tools and technology have left many wondering where to start. This course with Kevin Hartman establishes basic yet often ignored skills every successful analyst needs. Kevin covers three interdependent functional areas where analysts must build strength: data strategist, data technologist, and data designer. He examines how these three roles have been staffed over time and how the analyst's role has undergone an evolution resulting in the need for people who can blend all three roles. He explains each role, its purpose, and examines tools and techniques that enable its function. He also explores the mindset of the successful analyst: one characterized by curiosity, optimism, and a healthy dose of boldness.