Courses
Abbreviations work too: K8s, AI, UX.
Angular
Angular is a TypeScript-based JavaScript front-end framework developed by Google for developing web applications. Its main goal is to make it easier to develop Single Page Applications (SPA). Single-page applications are applications that improve the user experience without…
IOS Gaming: Developing IOS Apps for Gaming
Mobile gaming is one of the fastest-growing industries. It has become the primary driver of growth in the game industry over the past several years. According to a recent report by Newzoo, the mobile game industry, in which…
IOS Application Development: The Swift Programming Language
Swift is an exciting, new programming language for the rapid development of iOS and OS X apps. It combines the best features of languages like Python, Ruby and Java to create a powerful modern language that's great to…
Developing Android Apps for Gaming
Mobile game applications, while popular, are perhaps the most difficult type of mobile applications to develop. In this course, you will learn general game development techniques and then apply them to the Android development environment. You will cover…
Android Application Development
With Android phones being produced by all of the major phone manufacturers and with the addition of new tablet devices, it's no surprise that the Android platform is the fastest growing mobile development platform in the world. In…
Data Visualization
The Data Visualization Training is a 2-day program covering Python, Excel, Plotly, and data storytelling. It covers effective visual design, interactive charts, and building Excel dashboards. Python and Excel offer powerful tools for data visualization, and each has…
Data Analysis with PivotTables
In this course, you will learn advanced PivotTable features and how to create PivotCharts. PivotTables and PivotCharts are tools you can use to analyze and summarize your raw data. You will learn how to organize the data in…
Data Analysis with Java
This course starts by showing you the various techniques of pre-processing your data. You will then get well-versed with the basics of data analysis with Java, how data changes state, and how Java fits into the overall analysis…
Data Analysis with Python
This training is designed for beginners to the Python language and those who wish to perform analysis processes such as statistical operations and visualization on data using Python. By the end of the training, participants are expected to…
Data Analysis with R
R has a rich set of libraries that can be used for basic as well as advanced data analysis tasks. If you have a basic understanding of data analysis concepts and want to take your skills to the…
Data Analysis Boot Camp
This training is designed for beginners to the Python language and those who wish to perform analysis processes such as statistical operations and visualization on data using Python. By the end of the training, participants are expected to…
Introduction to Data Analysis
Organizations need to make business decisions more quickly and accurately than ever before. Basing these decisions on data and best practice analysis techniques and less on gut feel or "the way we have always done things" is how…
Digitalization and Industry 4.0 – Advanced
Technological development and digitalization create huge opportunities for your company to increase customer value by streamlining processes, improving quality, creating new revenue streams and reducing production costs. However, it requires a very difficult struggle. Digitalization of a business; It requires a…
Digitalization and Industry 4.0 – Intermediate
Technology development and digitalization create enormous opportunities for your company to increase customer value by streamlining processes, increasing quality, creating new revenue streams, and reducing production costs. But the challenges are significant. Digitalization of business requires a systematical…
Digitalization and Industry 4.0 – Fundamentals
Technology development and digitalization create enormous opportunities for your company to increase customer value by streamlining processes, increasing quality, creating new revenue streams, and reducing production costs. But the challenges are significant. Digitalization of business requires a systematical…
Industry 4.0
Industry 4.0 is a term that refers to the fourth industrial revolution and describes the integration of technologies such as digitalization, automation, data analytics, artificial intelligence and the internet of things in industrial production. This concept aims to increase…
Business Modeling for an Agile Digital Alignment
This 2 day training course aims at helping delegates to learn how to model their business processes and assets in order to adapt them to digital disruptions based on goals, strategies and impacted capabilities as part of the…
Business and IT System Agility in the Digital Age
This introduction seminar provides you with an overview of the digital business models, business and enterprise architecture frameworks as well as methodologies organizations are trying to focus on to increase their agility facing disruptions of the digital age…
Digital Transformation – Guiding the Big Data to Strengthen the Decision-Making
This training “Data-Driven Digital Transformation – Turning Disruptions into Opportunity by Strengthening the Decision Making” aims at helping attendees (CxOs, strategists, business analysts, data analysts, product managers and architects) understand foundations of the Digital Business Models, their connections…
Digital Transformation – Impacts on the Business
The emergence of digital technologies, like artificial intelligence, machine learning, blockchain, and the Internet of Things, as well as platform business models and the rise of Internet giants, is changing the dynamics of competition across industries, and uncovering…