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SAS(R) Data Management Tools and Applications

This is the second course in the Data Curation Professional, SAS Academy for Data Science program. The program is required to earn your SAS data science certification. Designed for SAS data scientists, this program covers SAS topics for data curation techniques, including big data preparation with Hadoop. In this course, you discover how to access your data from a variety of sources, create processes to manage and transform data, and ensure the reliability and consistency of your data.

27. 1. 2023

Introduction to Brake Control Systems: ABS, TCS, and ESC

Once reserved for high-end luxury vehicles, electronic brake control systems are now required standard equipment on even the most inexpensive cars and trucks. Today, nearly every new vehicle benefits from the optimized braking, enhanced acceleration, or improved stability that these systems provide. This comprehensive course introduces participants to the system-level design considerations, vehicle interface requirements, and inevitable performance compromises that must be addressed when implementing these technologies..

The course begins by defining the tire-road interface and analyzing fundamental vehicle dynamics. Following an in-depth study of system electronics, hydraulic hardware, and sensor requirements, participants learn about the control strategies employed by anti-lock brakes (ABS), dynamic rear proportioning (DRP), traction control (TCS), and electronic stability control (ESC) with heavy emphasis placed on the resulting vehicle dynamics. The course concludes with a study of unique applications, a look forward to advanced brake control system integration, and an overview of Federal Motor Vehicle Safety Standard 126.

This course has been approved by the Accreditation Commission for Traffic Accident Reconstruction (ACTAR) for 11 Continuing Education Units (CEUs). Upon completion of this seminar, accredited reconstructionists should mail a copy of their course certificate and the $5 student CEU fee to ACTAR, PO Box 1493, North Platte, NE 69103.

Objectives

By participating in this on-demand course, you’ll be able to:

• Analyze brake system design parameters and their vehicle performance effects
• Evaluate the compromises between stability, steerability, and stopping distance
• Identify the discrete mechanical components required for ABS
• Specify fundamental ABS performance attributes
• Calculate dynamic brake balance and explain the benefits of DRP
• Reconcile TCS performance expectations vs. method of implementation
• Define ESC performance metrics and physical limitations
• Assess features such as adaptive cruise control and brake assist
• Interpret federal requirements for the performance of ESC

26. 1. 2023

VMware vRealize Automation: Design and Deploy [V7.6]

This five-day course focuses on designing and deploying an enterprise cloud by using a distributed architecture deployment of VMware vRealize® Automation™. This course discusses the benefits and risks of available design alternatives and provides information that helps in making sound design decisions. You follow a proven approach to design and deploy an enterprise cloud that is available, scalable, manageable, secure, and that is built according to VMware best practices. During this class, you apply your new knowledge by working with other participants to design and deploy a vRealize Automation solution for a real-world project.

26. 1. 2022

Statistics 1: Introduction to ANOVA, Regression, and Logistic Regression

This introductory course is for SAS software users who perform statistical analyses using SAS/STAT software. The focus is on tests, ANOVA, and linear regression, and includes a brief introduction to logistic regression. This course (or equivalent knowledge) is a prerequisite to many of the courses in the statistical analysis curriculum.

A more advanced treatment of ANOVA and regression occurs in the Statistics 2: ANOVA and Regression course. A more advanced treatment of logistic regression occurs in the Categorical Data Analysis Using Logistic Regression course and the Predictive Modeling Using Logistic Regression course.

27. 1. 2023

Credit Scorecard Development and Implementation

This business-focused course provides a high-level introduction to credit risk management; detailed end-to-end methodology training for risk scorecard development for retail and SME portfolios; and discussions on scorecard implementation and risk strategy development, and scorecard and portfolio management reporting. The focus of the course is the development of application scorecards, but issues relating to behavior scorecard development will also be explored. Issues relevant to Basel II will be covered. These objectives are reflected in three sections.

Section 1, Introduction to Credit Risk: Students will get a high-level overview of the credit risk industry, risk management tools, and strategies. Students will understand the different uses of credit risk scorecards and learn industry terminology, as well as understand the main personas involved in successful credit scoring projects.

Section 2, Risk Scorecard Development: Students will learn how grouped-variable, points-based credit risk scorecards are developed, from the planning stages to delivery. While the main focus will be on business issues, statistical aspects of scorecard development will also be explored.

Section 3, Implementation and Maintenance: This section will cover post-development activities including setting cutoffs, strategy development, and scorecard maintenance reports.

27. 1. 2023

Statistics 2: ANOVA and Regression

This course teaches you how to analyze continuous response data and discrete count data. Linear regression, Poisson regression, negative binomial regression, gamma regression, analysis of variance, linear regression with indicator variables, analysis of covariance, and mixed models ANOVA are presented in the course.

27. 1. 2023

DASA DevOps Professional – Specify and Verify

The ultimate goal of any business is to deliver the value that its customers want. Understanding the customers’ needs, communicating these to the team clearly, and ensuring the intended outcome is produced is essential to deliver the required customer value. Recent developments in IT methodologies have given rise to a spate of concepts, such as Agile, Scrum, DevOps, and Lean IT, that has enabled the realization of the customer value more rapidly than traditional methods. DevOps focuses entirely on providing customer value.

Specification and Verification constitute the activities performed by a DevOps team that determine and communicate what is valuable within a product, both functionally and non-functionally, from the customers’ perspective and ensuring the delivery of the desired value. Being end-to-end responsible with the whole team to deliver value makes these activities an essential skill set of a DevOps Professional.

26. 1. 2022

MB-500 Microsoft Dynamics 365: Finance and Operations Apps Developer

In this course we discuss the tasks needed to fulfill the role of developer in Dynamics 365 Finance and Operations Apps. The Dynamics 365 for Finance and Operations (FO) developer is a key technical resource that implements and extends the application to meet the requirements of the business.

26. 1. 2022

Probability Surveys 1: Design, Descriptive Statistics, and Analysis

This course focuses on designing business and household surveys and analyzing data collected under complex survey designs. The course addresses the SAS procedures POWER, SURVEYSELECT, SURVEYMEANS, SURVEYFREQ, SURVEYREG, SURVEYLOGISTIC, and SURVEYIMPUTE. In addition, the graphing procedures GPLOT, SGPLOT, and SGPANEL are also covered.

27. 1. 2023

MB-700 Microsoft Dynamics 365: Finance and Operations Apps Solution Architect

This course is developed for those aspired to be and new to the solution architect role. This course provides the technical information focusing on application architecture and technical skills to start their journey into this role. This course will not cover the industrial skills and delivery skills required for this role.

Skills gained

26. 1. 2022

FDP-Shaping a Data Science Curriculum: Data Management, Machine Learning and Artificial Intelligence

This FDP supports developing a data science program that covers a variety of topics and enables students to acquire the skills that industry is looking for their employees to have. The FDP helps universities develop a pool of talent with the range of analytical and technology skills to work in a data-rich business environment.

27. 1. 2023

Introduction to Open Source Development, Git, and Linux (LFD201)

This course will prepare you to work comfortably and productively in open source development communities and Linux environments. It shows you have mastered important Linux methods and requisite tools, can use Git to create new repositories or clone existing ones, commit new changes, review revision histories, examine differences with older versions, work with different branches, merge repositories, and work with a distributed development team.

The course surveys how open source software works, including advantages of using it, methods of working in OSS communities, governance models and licensing choices. It delves into Linux systems, including installation, desktop environments, text editors, important commands and utilities, command shells and scripts, file systems and compiling software. It also provides a thorough introduction to Git, the source control system that arose out of the Linux kernel community, that enables widely distributed development to operate efficiently.

Lab info

Lab exercises in this course are designed to work either on native hardware, or using a virtual machine (VM), under a hypervisor, such as those in the KVM, VMWare, or Virtual Box families. Detailed instructions to set up your lab environment are provided in the course.

17. 2. 2023