Process Mining – wprowadzenie - Plan Szkolenia

Knowledge discovery in databases (KDD) is the process of discovering useful knowledge from a collection of data. Real-life applications for this data mining technique include marketing, fraud detection, telecommunication and manufacturing.

In this instructor-led, live course, we introduce the processes involved in KDD and carry out a series of exercises to practice the implementation of those processes.

Audience

• Data analysts or anyone interested in learning how to interpret data to solve problems

Format of the Course

• After a theoretical discussion of KDD, the instructor will present real-life cases which call for the application of KDD to solve a problem. Participants will prepare, select and cleanse sample data sets and use their prior knowledge about the data to propose solutions based on the results of their observations.

Fintech refers to the convergence of finance + new technologies.

In this instructor-led, live training, participants will gain an understanding of the technologies, methods and mindset needed to implement a Fintech strategy.

This training is aimed at managers who need to gain a "big picture" understanding of Fintech, break down the hype and jargon, and take tangible first steps towards the adoption of new technologies applicable to financial business and services.

By the end of this training, participants will be able to

• Present viable Fintech strategies for their organization.
• Understand and explain the role and functionality of key technologies.
• Draft an action plan for introducing new technologies in step-by-step fashion.

Format of the course

• Part lecture, part discussion, exercises and case study group activities

Inżynieria wymagań to proces definiowania, zbierania, dokumentowania, zarządzania i analizy potrzeb, oczekiwań i funkcjonalności, które powinny być zrealizowane przez dany system, produkt czy projekt informatyczny. Inżynieria wymagań odgrywa kluczową rolę w sukcesie projektów informatycznych, ponieważ dokładne, zrozumiałe i spójne wymagania stanowią fundament dla tworzonego systemu czy produktu. Poprawne zrozumienie i dokładne zdefiniowanie potrzeb użytkowników oraz interesariuszy jest kluczowe dla osiągnięcia satysfakcji klientów i sukcesu projektów informatycznych.

IREB odgrywa istotną rolę w ujednoliceniu praktyk związanych z inżynierią wymagań, pomagając profesjonalistom w tej dziedzinie w doskonaleniu swoich umiejętności, a także podnosząc standardy jakości w procesach tworzenia oprogramowania. Certyfikaty IREB są cenione w branży jako potwierdzenie wysokich kompetencji zawodowych w zakresie zarządzania i inżynierii wymagań.

This course demonstrates through hands-on practice the fundamentals and applications of software engineering, requirements engineering and testing.

IREB CPRE (International Requirements Engineering Board - Certified Professional for Requirements Engineering) to certyfikacja dla specjalistów w dziedzinie inżynierii wymagań. Ta certyfikacja ma na celu potwierdzenie wiedzy, umiejętności i doświadczenia w obszarze zarządzania i inżynierii wymagań w procesie tworzenia oprogramowania. Wartość Certyfikacji IREB CPRE: Potwierdzenie i uznanie wiedzy, umiejętności i doświadczenia w obszarze inżynierii wymagań. Wyróżnienie się na rynku pracy jako profesjonalista specjalizujący się w zarządzaniu wymaganiami. Zwiększenie wiarygodności i zaufania wśród pracodawców, klientów i współpracowników.

Model Based Development (MBD) is a software development methodology that enables faster, more cost-effective development of dynamic systems such as control systems, signal processing and communication systems. It relies on graphic modeling rather than the traditional text based programming.

In this instructor-led, live training participants will learn how to apply MBD methodologies to reduce development costs and accelerate the time to market of their embedded software products.

By the end of this training, participants will be able to

• Select and utilize the right tools for implementing MBD.
• Use MBD to carry out rapid development in the early stages of their embedded software project.
• Shorten the release of their embedded software into the market.

Format of the course

• Part lecture, part discussion, exercises and heavy hands-on practice

Requirements Analysis, also known as Requirements Engineering, is the process of identifying user expectations for a new or altered product or project.

This instructor-led, live training (online or onsite) is aimed at persons who wish to understand requirements analysis and conduct requirements analysis efficiently and accurately using analysis techniques for their projects.

By the end of this training, participants will be able to:

• identify different types of requirements.
• understand the overall concepts of, and activities within, requirements analysis.
• be familiar with the requirements analysis methodology.
• use different requirements analysis techniques to their advantage.
• structure requirements in order to communicate efficiently with architects and developers through an iterative requirement gathering process.

Format of the Course

• Interactive lecture and discussion.
• Lots of exercises and practice.
• Hands-on implementation in a live-lab environment.

Course Customization Options

• To request a customized training for this course, please contact us to arrange.

Cel:

Opanowanie umiejętności pracy z programem SPSS na poziomie samodzielności

Adresaci:

Analitycy, Badacze, Naukowcy, studenci i wszyscy, którzy chcą pozyskać umiejętność posługiwania się pakietem SPSS oraz poznać popularne techniki eksploracji danych.

Course can be provided with any tools, including free open-source data mining software and applications

Audience

If you try to make sense out of the data you have access to or want to analyse unstructured data available on the net (like Twitter, Linked in, etc...) this course is for you.

It is mostly aimed at decision makers and people who need to choose what data is worth collecting and what is worth analyzing.

It is not aimed at people configuring the solution, those people will benefit from the big picture though.

Delivery Mode

During the course delegates will be presented with working examples of mostly open source technologies.

Short lectures will be followed by presentation and simple exercises by the participants

Content and Software used

All software used is updated each time the course is run, so we check the newest versions possible.

It covers the process from obtaining, formatting, processing and analysing the data, to explain how to automate decision making process with machine learning.