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SQL for beginners

SQL is an essential language for everyone working with data. In this course we provide the fundamentals to get started developing general-purpose queries. We will use the popular PostgreSQL database.

SQL is one of the most in demand skills for business analysts, data scientists, and anyone who finds themselves working with data.

Objectives:

  • You’ll learn how to read and write complex queries to a database using one of the most in demand skills – PostgreSQL.
  • Help you understand and apply SQL with MySQL, including Database Design and Data Analysis.
  • SELECT and WHERE statements.
  • Creating aggregates with GROUP BY and HAVING.
  • Modify, delete and create tables in the database.

Blockchain Bootcamp for Data Scientists

This course reviews why blockchain is the future of data science. There are many decisions and issues that face the technical team and data leadership, and this class will enable participants to effectively make those decisions both offensively and defensively.

What You’ll Learn

  • How we got to now: the digital data transformation
  • Where data science is headed: the coming datapocalypse
  • Why blockchain is the solution for data science
  • Examples of successful blockchain data science projects
  • How to get started with your first blockchain-based data science project

Linux for Cloud Technicians (LFS303)

Linux & cloud are two are of the most in-demand skills in IT. This course provides essential knowledge for configuring and managing Linux systems and containers, expanding on the standard administration knowledge and incorporating critical tasks and operations commonly used in cloud environments. Whether you’re looking for training to help start a new Linux IT career, or you’re just brushing up on your skills, this instructor-led course will teach you what you need to know.

This course prepares you to connect to a system and perform critical customization and configuration tasks for cloud and non-cloud instances. You will have the opportunity to manage networking, system services, user account creation and administration, and much more; you will also familiarize yourself with virtualization, containers, and DevOps concepts; and gain important skills, like text file processing, file operations, bash scripting, use of git, troubleshooting, etc., which will come in handy when administering multiple systems in the cloud efficiently.

This course gives you the skills and information you need to administer systems in a cloud environment.

Blockchain Bootcamp for IoT

This one day training will cover not only an overview of IoT and Blockchain, but how Blockchain holds the potential to securely unlock business and operational value of IoT to support common tasks, such as sensing, processing, storing information, and communicating.

What’s Included

With class you will receive:

  • Expert Instructor through class
  • Certificate of Completion
  • One Year of unlimited access to course content
  • Ability to stop, pause rewind and move through all chapters
  • Class Slides

Red Hat High Availability Clustering for SAP Solutions (RH445)

Learn how to deploy, protect, and scale SAP infrastructure with Red Hat Enterprise Linux for SAP Solutions. This course teaches best practices for deploying SAP HANA and SAP S/4HANA in a high availability configuration. In addition, you will discover how to efficiently automate deployments with Red Hat Ansible Automation Platform and Red Hat supported Ansible roles specific to SAP.

AZ-204 Developing Solutions for Microsoft Azure

This course teaches developers how to create end-to-end solutions in Microsoft Azure. Students will learn how to implement Azure compute solutions, create Azure Functions, implement and manage web apps, develop solutions utilizing Azure storage, implement authentication and authorization, and secure their solutions by using KeyVault and Managed Identities. Students will also learn how to connect to and consume Azure services and third-party services, and include event- and message-based models in their solutions.
The course also covers monitoring, troubleshooting, and optimizing Azure solutions.

SQL for intermediate users

SQL is an essential language for everyone working with data. In this course we go beyond the basics and provide an overview of some advanced functionality, like using regular expressions for analyzing text data (pattern matching, log analysis) and optimizing queries.

Objectives:

  • MySQL overview
  • Use advanced techniques with the SELECT statement
  • Use subqueries
  • Overview and use the advanced features
  • Advanced techniques of SQL language

SMAX310 – SMAX 2021.x Essentials for Tenant Administrators

This course covers how a tenant administrator will use Service Management Automation X (SMAX) to perform a variety of management tasks that range from data management, and people management, to designing the applications and its workflows. SMAX is a new suite designed to simplify the way businesses manage their IT services and assets. It uses the Information Technology Infrastructure Library (ITIL)-compliant IT processes with embedded machine learning and contextual analytics.
You are a tenant administrator who wants to perform all administrative tasks in service management for setting up a new process-based book order application from creating custom record types with forms, fields, business rules, processes, notifications, and workflows to defining custom actions and predefined lists. You also want to design and administer the look and feel of the service portal and are interested in customizing the default application settings, settings for a smart ticket, and search with an automatic routing solution. You also want to manage access to different parts of the application, and locations, and provide different groupings of a record for classification. You want to manage configuration data across tenants and view sample data. From creating, importing, managing, designing, administering, customizing, and analyzing these administrative operations, you will learn how SMAX helps in this and future situations. You have not used SMAX before.
This course is applicable for SMAX 2021.02, 2021.05, and 2021.11 versions. The slides and student guides are of the 2019.05 version but are still compatible with the 2021 lab, and the lab guide is for the 2021.11 version of SMAX.

Analytics Value Training for Insurance

Analytics Value Training for Insurance will help you to understand your digital assets and their value better. This program is designed to transform your organization into a data-driven organization and obtain business value with analytics in the insurance industry. More specifically, you learn how to apply analytics to create business value, how predictive modeling and visualizing can help you find hidden nuggets, and how to impact your organization by using the right communication and message. Our eight-month learning program enables you to learn and reflect on critical analytics skills for Data Analytics professionals in the insurance industry. Rather than exclusively feeding you technical knowledge that can quickly become obsolete, we will cover the critical skills to succeed with analytics and create a permanent behavioral change. The program includes 10 days of mandatory training to translate new knowledge into real business and analytics issues and cases. Optional days for more in-depth tool training and lab sessions during the period are available, both for the individual and in the plenum. 

Optimization Concepts for Data Science and Artificial Intelligence

This course focuses on linear, nonlinear, and mixed integer linear optimization concepts in SAS Viya. Students learn how to formulate optimization problems and how to make their formulations efficient by using index sets and arrays. The demonstrations in the course include examples of diet formulation and portfolio optimization. Learn the OPTMODEL procedure and open source tools to formulate and solve optimization problems.

SAS(R) Visual Analytics 2 for SAS(R)9: Advanced

This course describes advanced features of data preparation, analytics, and report creation in SAS Visual Analytics.

Optimization Concepts for Data Science

This course focuses on linear, nonlinear, and efficiency optimization concepts. You learn how to formulate optimization problems and how to make their formulations efficient by using index sets and arrays. The demonstrations in the course include examples of data envelopment analysis and portfolio optimization. The OPTMODEL procedure is used to solve optimization problems that reinforce concepts introduced in the course.

The e-learning format of this course includes Virtual Lab time to practice.

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