Zaawansowane techniki Process Mining dla Manadżerów i Analityków procesów Training Course

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.

In this instructor-led, live training in Poland, 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.

Requirements engineering is the process of defining, collecting, documenting, managing and analyzing the needs, expectations and functionalities that should be implemented by a given system, product or IT project. Requirements engineering plays a key role in the success of IT projects because accurate, understandable and consistent requirements constitute the foundation for the system or product being created. Correctly understanding and precisely defining the needs of users and stakeholders is crucial to achieving customer satisfaction and the success of IT projects.

IREB plays an important role in standardizing requirements engineering practices, helping professionals in the field improve their skills and raising quality standards in software development processes. IREB certificates are valued in the industry as confirmation of high professional competences in management and requirements engineering.

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) is a certification for requirements engineering professionals. This certification aims to confirm knowledge, skills and experience in the area of management and requirements engineering in the software development process. The Value of IREB CPRE Certification: Confirmation and recognition of knowledge, skills and experience in the area of requirements engineering. Stand out in the job market as a professional specializing in requirements management. Increasing credibility and trust among employers, clients and colleagues.

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

This instructor-led, live training in Poland (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.

Purpose of the training
To learn the benefits of using use cases to describe system functionality.
To learn effective methods of obtaining functional requirements.
To acquire the ability to define functional requirements in UML notation (use case diagrams) and in the form of use case specifications.

Advantages 
Training conducted by an expert with several years of experience in the IT industry and extensive knowledge of IT processes.
Emphasis on practice - the necessary theory is supported by project practice, the topics discussed relate to real project situations.
Training conducted using tools used in requirements engineering, which gives the opportunity to learn the basic functionality of such tools. 
Possibility to apply the acquired knowledge already during the training. 

Goal:

Learning to work with SPSS at the level of independence

The addressees:

Analysts, researchers, scientists, students and all those who want to acquire the ability to use SPSS package and learn popular data mining techniques.

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.