Courses

Data Transformation

Multidimensional View of Information

Dimensional Modeling

Data Cubes

Dimension Hierarchies

OLAP Solutions

About the ServiceNow interface

How to use various features and applications

How to use role‑based scenarios to show the workflow and interactivity of the ServiceNow platform

About creating an incident, investigating a problem and recommending a change by experiencing ServiceNow in various roles (End User, IT User and System Administrator)

Learn the fundamentals of programming in R

Work with R’s conditional statements, functions, and loops

Build your own functions in R

Get your data in and out of R

Learn the core tools for data science with R

Manipulate data with the Tidyverse ecosystem of packages

Systematically explore data in R

The grammar of graphics and the ggplot2 package

Visualise data: plot different types of data & draw insights

Transform data: best practices of when and how

Index, slice, and subset data

Learn the fundamentals of statistics and apply them in practice

Hypothesis testing in R

Understand and carry out regression analysis in R

Work with dummy variables

Learn to make decisions that are supported by the data!

Have fun by taking apart Star Wars and Pokemon data, as well some more serious data sets

Java Basics

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Variables and Data Types

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Functions in Java

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Arrays in Java

Understanding how to use collections properly is a vital part in writing effective C# applications. In this course, Advanced C# Collections, you'll learn how to use the full range of Microsoft collections and understand how to ensure collection elements are unique using sets, along with customizing dictionary key lookup and sorting of elements. First, you’ll develop an understanding of the principles of collection scalability, which is important to ensure performance stays acceptable when dealing with very large collections. Then, you'll discover how to make your code around collections more robust by using collection interfaces to decouple code, and read-only and immutable collections to protect your data. Finally, you'll delve into using collections in a multi-threaded scenario using the concurrent collections. By the end of this course, you'll have the knowledge needed to effectively choose the most appropriate collection for any reasonable situation, and leverage that collection following good practices.

The following are the learning outcomes of this AWS Solutions Architect Associate course:

Efficient design and deployment of the AWS system

Cost-evaluation and cost-control mechanisms

Elastic Load Balancing on multiple EC2 instances

Data ingress and egress on AWS

Identifying relevant and suitable uses of AWS architecture

Lift and shift mechanism of AWS on-premises applications

Finding the right solutions based on computational, database, and security needs

And of course, be AWS Solutions Architect exam ready!

Angular uses RxJS to create Observable data streams, but that’s just one of its many features. In this course, RxJS in Angular: Reactive Development, you will gain the ability to develop your applications with a more declarative and reactive approach using RxJS. First, you will learn RxJS terms and syntax and examine several key RxJS operators so you can better leverage this powerful technology. Next, you will discover a declarative approach to defining data streams and combining data streams to merge data from multiple sources so you can more easily display useful related data for your users. Finally, you will explore how to create streams from user actions, such as a selection, and merge the data streams with the action streams to react to those actions, automatically updating the view as needed. When you are finished with this course, you will have the skills and knowledge of RxJS needed to incorporate the power of Observable streams into your applications, providing your users with a more performant and interactive application.