Explorati cursurile noastre

Basics of Customizing for Financial Accounting: GL, AP, AR in SAP S/4 HANA (S4F12)

35 ore
Acest curs de instruire live, condus de un instructor în Moldova (online sau la fața locului) se adresează consultanților de aplicații și proprietarilor de procese de afaceri care doresc să învețe cum să configureze procesele de afaceri pentru modulul financiar SAP S/4 HANA. La sfârșitul acestui curs de formare, participanții vor fi capabili să:
  • Înțelegeți setările de personalizare de bază în principalele componente ale contabilității financiare cu SAP S/4HANA.
    • .
  • Configurați setările datelor de bază (conturi G/L, conturi de clienți și furnizori) ale FA cu SAP S/4HANA.
    • .
  • Configurați setările de control al documentelor, de control al înregistrărilor și de compensare a documentelor financiare ale FA cu SAP S/4HANA.
    • .
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SWIFT for Banking Professionals

7 ore
The Society for Worldwide Interbank Financial Telecommunication (SWIFT) is a global member-owned cooperative and the world’s leading provider of secure financial messaging services that enables financial institutions worldwide to send and receive information about financial transactions in a secure, standardized, and reliable environment.This instructor-led, live training (online or onsite) is aimed at beginner-level banking professionals who wish to gain in-depth knowledge and skills in using the SWIFT network for handling international bank transfers.By the end of this training, participants will be able to:
  • Understand the SWIFT network and decode SWIFT codes.
  • Navigate SWIFT messages and execute international transfers.
  • Learn about the potential risks associated with international transfers and how to mitigate these risks.
  • Explore advanced SWIFT services and understand how they improve the speed, transparency, and traceability of cross-border payments.
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.
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Extrajudicial and Judicial Collection

14 ore
Acest curs de formare live, condus de un instructor în Moldova (online sau la fața locului) se adresează profesioniștilor din domeniul financiar și juridic care doresc să învețe principiile și practicile de colectare extrajudiciară și judiciară, permițându-le să gestioneze și să rezolve eficient problemele de colectare.La finalul acestui curs de formare, participanții vor fi capabili să:
  • Înțeleagă avantajele și dezavantajele colectării extrajudiciare și judiciare.
  • Să aplice principalele metode și tehnici de colectare extrajudiciară și judiciară.
  • Să evalueze eficacitatea și eficiența colectării extrajudiciare și judiciare.
  • să abordeze aspectele juridice și etice implicate în colectarea extrajudiciară și judiciară.
  • Să integreze colectarea extrajudiciară și judiciară într-un mod cuprinzător și coerent.
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Financial Analysis in Excel

14 ore
During the training, will present the issues of financial analysis using the advanced features of Excel. This course is intended for financial analysts, accountants and all those who want to expand their skills spreadsheet with issues of financial analysis.
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R Programming for Finance

28 ore
R este o limbă de programare populară în industria financiară. Este utilizat în aplicații financiare, de la programe de tranzacționare de bază la sisteme de management al riscurilor. În acest curs de instruire, participanții vor învăța cum să utilizeze R pentru a dezvolta aplicații practice pentru a rezolva o serie de probleme legate de finanțe specifice. La sfârșitul cursului, participanții vor putea:
  • Înțelegeți fundamentele limbajului de programare R
  • Selectați și utilizați pachete și tehnici R pentru a organiza, vizualiza și analiza datele financiare din diferite surse (CSV, Excel, baze de date, web, etc.)
  • Construiți aplicații care rezolvă probleme legate de alocarea activelor, analiza riscurilor, performanța investițiilor și multe altele
  • Soluționarea problemelor, implementarea integrată și optimizarea unei aplicații R
Audienţă
  • Dezvoltatori
  • Analiştii
  • cantitatea
Formatul cursului
  • Lecții parțiale, discuții parțiale, exerciții și practici grele
Notă
  • Această formare urmărește să ofere soluții pentru unele dintre problemele de principiu cu care se confruntă profesioniștii din domeniul finanțelor. Cu toate acestea, dacă aveți o anumită temă, un instrument sau o tehnică pe care doriți să o completați sau să o preluați mai departe, vă rugăm să ne contactați pentru a organiza.
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Python Programming for Finance

35 ore
Python is a programming language that has gained huge popularity in the financial industry. Adopted by the largest investment banks and hedge funds, it is being used to build a wide range of financial applications ranging from core trading programs to risk management systems. In this instructor-led, live training, participants will learn how to use Python to develop practical applications for solving a number of specific finance related problems. By the end of this training, participants will be able to:
  • Understand the fundamentals of the Python programming language
  • Download, install and maintain the best development tools for creating financial applications in Python
  • Select and utilize the most suitable Python packages and programming techniques to organize, visualize, and analyze financial data from various sources (CSV, Excel, databases, web, etc.)
  • Build applications that solve problems related to asset allocation, risk analysis, investment performance and more
  • Troubleshoot, integrate, deploy, and optimize a Python application
Audience
  • Developers
  • Analysts
  • Quants
Format of the course
  • Part lecture, part discussion, exercises and heavy hands-on practice
Note
  • This training aims to provide solutions for some of the principle problems faced by finance professionals. However, if you have a particular topic, tool or technique that you wish to append or elaborate further on, please please contact us to arrange.
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kdb+ and q: Analyze Time Series Data

21 ore
kdb+ is an in-memory, column-oriented database and q is its built-in, interpreted vector-based language. In kdb+, tables are columns of vectors and q is used to perform operations on the table data as if it was a list. kdb+ and q are commonly used in high frequency trading and are popular with the major financial institutions, including Goldman Sachs, Morgan Stanley, Merrill Lynch, JP Morgan, etc. In this instructor-led, live training, participants will learn how to create a time series data application using kdb+ and q. By the end of this training, participants will be able to:
  • Understand the difference between a row-oriented database and a column-oriented database
  • Select data, write scripts and create functions to carry out advanced analytics
  • Analyze time series data such as stock and commodity exchange data
  • Use kdb+'s in-memory capabilities to store, analyze, process and retrieve large data sets at high speed
  • Think of functions and data at a higher level than the standard function(arguments) approach common in non-vector languages
  • Explore other time-sensitive applications for kdb+, including energy trading, telecommunications, sensor data, log data, and machine and network usage monitoring
Audience
  • Developers
  • Database engineers
  • Data scientists
  • Data analysts
Format of the course
  • Part lecture, part discussion, exercises and heavy hands-on practice
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The Compliance and MLRO Refresher Programme

7 ore
The Compliance and MLRO Refresher Programme examines the key risk management issues and topics that are of vital importance in today’s highly-regulated environment. As well as being targeted at Compliance Officers, MLROs, MLCOs and other risk management professionals it is also aimed at members of senior management and board members keen to know more about what to expect from the risk control functions within their organisations. The Programme is lectured by subject-matter-expert from the UK. The key learning objective of the Programme is to equip attendees with sufficient knowledge to assess objectively the adequacy of their organisation’s existing risk management controls and practices and to make appropriate enhancements.
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Corporate Governance

7 ore
Audience All staff needing a working knowledge of Corporate Governance for their organisation Format of the course A highly-interactive combination of:
  • Facilitated Discussions
  • Slide Presentations
  • Examples
  • Exercises
  • Case Studies
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Credit Risk Management for Consumer Lending

21 ore
Audience
  • Newly-appointed Personal Lending Managers
  • Support staff responsible for gathering and interpreting information for the lending managers
  • Staff responsible for the management of bad and doubtful debts who need a working knowledge of the decision-making process which led to the lending being made
Lending to Personal Customers – Consumer Lending – demands a high-level of skill in the assessment of individual lending proposals. In many cases it has none of the sources of financial information traditionally associated with Corporate Lending – Balance Sheets, Profit & Loss Accounts etc. – and relies more on the trust and rapport built up between the customer and the lender. By the end of this course lenders to Personal Customers will be able to:
  • Understand the process for assessing lending propositions from Personal Customers
  • Utilise that process to come to a logical decision to agree to the loan or to decline it with robust reasons
  • Manage and control a Personal Lending portfolio to ensure, as far as possible, that all loans are repaid in full. (Remembering that there’s no completely risk-free lending…!)
  • Build rapport with customers to (try to!) ensure that all their loans are fully repaid
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Deep Learning for Finance (with R)

28 ore
Machine learning is a branch of Artificial Intelligence wherein computers have the ability to learn without being explicitly programmed. Deep learning is a subfield of machine learning which uses methods based on learning data representations and structures such as neural networks. R is a popular programming language in the financial industry. It is used in financial applications ranging from core trading programs to risk management systems. In this instructor-led, live training, participants will learn how to implement deep learning models for finance using R as they step through the creation of a deep learning stock price prediction model. By the end of this training, participants will be able to:
  • Understand the fundamental concepts of deep learning
  • Learn the applications and uses of deep learning in finance
  • Use R to create deep learning models for finance
  • Build their own deep learning stock price prediction model using R
Audience
  • Developers
  • Data scientists
Format of the course
  • Part lecture, part discussion, exercises and heavy hands-on practice
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Deep Learning for Banking (with Python)

28 ore
Machine learning is a branch of Artificial Intelligence wherein computers have the ability to learn without being explicitly programmed. Deep learning is a subfield of machine learning which uses methods based on learning data representations and structures such as neural networks. Python is a high-level programming language famous for its clear syntax and code readability. In this instructor-led, live training, participants will learn how to implement deep learning models for banking using Python as they step through the creation of a deep learning credit risk model. By the end of this training, participants will be able to:
  • Understand the fundamental concepts of deep learning
  • Learn the applications and uses of deep learning in banking
  • Use Python, Keras, and TensorFlow to create deep learning models for banking
  • Build their own deep learning credit risk model using Python
Audience
  • Developers
  • Data scientists
Format of the course
  • Part lecture, part discussion, exercises and heavy hands-on practice
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Deep Learning for Banking (with R)

28 ore
Machine learning is a branch of Artificial Intelligence wherein computers have the ability to learn without being explicitly programmed. Deep learning is a subfield of machine learning which uses methods based on learning data representations and structures such as neural networks. R is a popular programming language in the financial industry. It is used in financial applications ranging from core trading programs to risk management systems. In this instructor-led, live training, participants will learn how to implement deep learning models for banking using R as they step through the creation of a deep learning credit risk model. By the end of this training, participants will be able to:
  • Understand the fundamental concepts of deep learning
  • Learn the applications and uses of deep learning in banking
  • Use R to create deep learning models for banking
  • Build their own deep learning credit risk model using R
Audience
  • Developers
  • Data scientists
Format of the course
  • Part lecture, part discussion, exercises and heavy hands-on practice
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Deep Learning for Finance (with Python)

28 ore
Machine learning is a branch of Artificial Intelligence wherein computers have the ability to learn without being explicitly programmed. Deep learning is a subfield of machine learning which uses methods based on learning data representations and structures such as neural networks. Python is a high-level programming language famous for its clear syntax and code readability. In this instructor-led, live training, participants will learn how to implement deep learning models for finance using Python as they step through the creation of a deep learning stock price prediction model. By the end of this training, participants will be able to:
  • Understand the fundamental concepts of deep learning
  • Learn the applications and uses of deep learning in finance
  • Use Python, Keras, and TensorFlow to create deep learning models for finance
  • Build their own deep learning stock price prediction model using Python
Audience
  • Developers
  • Data scientists
Format of the course
  • Part lecture, part discussion, exercises and heavy hands-on practice
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FATCA Compliance for Financial Professionals

7 ore
Acest curs de formare live, condus de un instructor în Moldova (online sau la fața locului) se adresează profesioniștilor din domeniul financiar din instituțiile din SUA și din afara SUA care doresc să înțeleagă aspectele juridice, de conformitate și de aplicare a FATCA, astfel încât să mențină conformitatea cu autoritățile fiscale din SUA (IRS). La sfârșitul acestui curs, participanții vor fi capabili să înțeleagă:
  • FATCA's impact asupra conformității fiscale globale și a transparenței financiare.
    • .
  • FATCA's due diligence și cerințele de raportare.
    • .
  • FATCA's cele mai importante aspecte juridice și cum să asigure conformitatea.
    • .
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Financial Markets

14 ore
This introductory course will provide participants with a first class and detailed working knowledge of the key financial markets, their purpose, function, main activities and their regulation. It is intended to be part refresher, part educational and part challenging so that all delegates will derive the maximum benefit from it. Feedback and discussion will be actively encouraged throughout the sessions which are intended to be interactive not just reactive and factual. The primary function is to ensure that by completion, all course delegates will be much better equipped to deal with clients and their ongoing needs and to put into context the services and markets in which they are trading and participating.
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Investment Banking: Introduction to Structured Products

21 ore
Introduction to Structured Products The purpose of the course is to provide delegates with an introduction to the Structured Products used in investment banking. On completion of the course all delegates will have a working knowledge of the subject and will be able answer
  1. What are structured products?
  2. Why issue them?
  3. How do issuers and investors benefit?
  4. How do you structure and price a range of derivative products?
  5. What are the risks and costs of producing structured financial products?
  6. What are embedded derivatives?
  7. What are exotic options?
  8. What are the pricing and hedging considerations?
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IFRS 17 (International Financial Reporting Standard)

21 ore
Acest curs de instruire live, condus de un instructor în Moldova (online sau la fața locului) se adresează managerilor care doresc să obțină o înțelegere practică a standardului IFRS 17. La sfârșitul acestui curs de formare, participanții vor fi capabili să:
  • Identificați cerințele cheie ale IFRS 17.
    • .
  • Cunoașteți diferențele dintre IFRS 17 și IFRS 4.
    • .
  • Înțelegeți regulile IFRS.
    • .
  • Înțelegeți modelele financiare și numerele acestora.
    • .
  • Disecționați și înțelegeți diferite tipuri de contracte de asigurare și modele contabile.
    • .
  • Pregătiți un plan și un calendar de tranziție bine informat.
    • .
  • Implementați IFRS 17 în cadrul unei organizații.
    • .
  • Identificați și măsurați performanța contractelor de asigurare.
    • .
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Compliance and the Management of Compliance Risk

21 ore
Audiance All staff who need a working knowledge of Compliance and the Management of Risk Format of the course A combination of:
  • Facilitated Discussions
  • Slide Presentations
  • Case Studies
  • Examples
Course Objectives By the end of this course, delegates will be able to:
  • Understand the major facets of Compliance and the national and international efforts being made to manage the risk related to it
  • Define the ways in which a company and its staff might set up a Compliance Risk Management Framework
  • Detail the roles of Compliance Officer and Money Laundering Reporting Officer and how they should be integrated into a business
  • Understand some other “hot spots” in Financial Crime – especially as they relate to International Business, Offshore Centres and High-Net-Worth Clients
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MATLAB Fundamentals + MATLAB for Finance

35 ore
This course provides a comprehensive introduction to the MATLAB technical computing environment + an introduction to using MATLAB for financial applications. The course is intended for beginning users and those looking for a review. No prior programming experience or knowledge of MATLAB is assumed. Themes of data analysis, visualization, modeling, and programming are explored throughout the course. Topics include:
  • Working with the MATLAB user interface
  • Entering commands and creating variables
  • Analyzing vectors and matrices
  • Visualizing vector and matrix data
  • Working with data files
  • Working with data types
  • Automating commands with scripts
  • Writing programs with logic and flow control
  • Writing functions
  • Using the Financial Toolbox for quantitative analysis
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Machine Learning for Banking (with Python)

21 ore
Machine Learning is a branch of Artificial Intelligence wherein computers have the ability to learn without being explicitly programmed. Python is a programming language famous for its clear syntax and readability. It offers an excellent collection of well-tested libraries and techniques for developing machine learning applications. In this instructor-led, live training, participants will learn how to apply machine learning techniques and tools for solving real-world problems in the banking industry. Participants first learn the key principles, then put their knowledge into practice by building their own machine learning models and using them to complete a number of team projects. Audience
  • Developers
  • Data scientists
Format of the course
  • Part lecture, part discussion, exercises and heavy hands-on practice
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Machine Learning for Banking (with R)

28 ore
In this instructor-led, live training, participants will learn how to apply machine learning techniques and tools for solving real-world problems in the banking industry. R will be used as the programming language. Participants first learn the key principles, then put their knowledge into practice by building their own machine learning models and using them to complete a number of live projects. Audience
  • Developers
  • Data scientists
  • Banking professionals with a technical background
Format of the course
  • Part lecture, part discussion, exercises and heavy hands-on practice
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Machine Learning for Finance (with Python)

21 ore
Machine learning is a branch of Artificial Intelligence wherein computers have the ability to learn without being explicitly programmed. Python is a programming language famous for its clear syntax and readability. It offers an excellent collection of well-tested libraries and techniques for developing machine learning applications. In this instructor-led, live training, participants will learn how to apply machine learning techniques and tools for solving real-world problems in the finance industry. Participants first learn the key principles, then put their knowledge into practice by building their own machine learning models and using them to complete a number of team projects. By the end of this training, participants will be able to:
  • Understand the fundamental concepts in machine learning
  • Learn the applications and uses of machine learning in finance
  • Develop their own algorithmic trading strategy using machine learning with Python
Audience
  • Developers
  • Data scientists
Format of the course
  • Part lecture, part discussion, exercises and heavy hands-on practice
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Machine Learning for Finance (with R)

28 ore
Machine learning is a branch of Artificial Intelligence wherein computers have the ability to learn without being explicitly programmed. R is a popular programming language in the financial industry. It is used in financial applications ranging from core trading programs to risk management systems. In this instructor-led, live training, participants will learn how to apply machine learning techniques and tools for solving real-world problems in the finance industry. R will be used as the programming language. Participants first learn the key principles, then put their knowledge into practice by building their own machine learning models and using them to complete a number of team projects. By the end of this training, participants will be able to:
  • Understand the fundamental concepts in machine learning
  • Learn the applications and uses of machine learning in finance
  • Develop their own algorithmic trading strategy using machine learning with R
Audience
  • Developers
  • Data scientists
Format of the course
  • Part lecture, part discussion, exercises and heavy hands-on practice
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QAD for Financials

7 ore
Acest curs de instruire live, condus de un instructor în Moldova (online sau la fața locului) se adresează managerilor financiari, controlorilor și contabililor care doresc să exploreze funcțiile avansate ale QAD's pentru a gestiona și raporta datele financiare. La finalul acestui curs, participanții vor fi capabili să gestioneze, să raporteze, să consolideze și să eficientizeze conturile de producție și datele financiare.
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Introduction to R for Finance

21 ore
R is a popular programming language in the financial industry. It is used in financial applications ranging from core trading programs to risk management systems. In this instructor-led, live training, participants will learn the fundamentals of R programming as they walk through coding in R using financial examples. By the end of this training, participants will be able to:
  • Understand the basics of R programming
  • Use R to manipulate their data to perform basic financial operations
Audience
  • Programmers
  • Finance professionals
  • IT Professionals
Format of the course
  • Part lecture, part discussion, exercises and heavy hands-on practice
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Online Payment Processing with Stripe

14 ore
Acest curs de instruire live, condus de un instructor în Moldova (online sau la fața locului) se adresează dezvoltatorilor care doresc să monetizeze un site web sau o aplicație web folosind Stripe API. La sfârșitul acestui curs de formare, participanții vor fi capabili să:
  • Setați mediul de dezvoltare necesar pentru a începe să dezvoltați.
  • Construiți o aplicație care integrează caracteristici de procesare a plăților, cum ar fi Checkout, Payment Intents și Billing.
    • .
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Overview of Structured Products

14 ore
Structured products are investments comprised of multiple components.
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Anti-Money Laundering (AML) and Combating Terrorist Financing (CTF)

14 ore
Audience All Senior Management who need a working knowledge of AML / CTF and their prevention – and an awareness of the other relevant and current Financial Crime issues; Format of the course A combination of:
  • Facilitated Discussions
  • Slide Presentations
  • Case Studies
  • Examples
Course Objectives By the end of this course, delegates will be able to:
  • Explain how AML and CTF might be prevented
  • Understand the major facets of AML and CTF as they apply to their companies and the national and international efforts being made to combat them
  • Define the ways in which a company and its staff should protect themselves against the risks of Money Laundering and Terrorist Financing
  • Detail how a company might become a target for Money Laundering and Terrorist Financing: and explain which “red flags” might help them to identify, prevent and report any (suspicious or actual) criminal activity
  • Understand some of the other “hot spots” in Financial Crime
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CRS: Foreign Financial Reporting and Automatic Exchange of Information

14 ore
The Common Reporting Standard (CRS) is an OECD standard which calls on international jurisdictions to obtain information from their financial institutions and automatically exchange that information with other jurisdictions on an annual basis. The Standard requires all reports to be sent electronically in a format known as CRS XML. To resolve errors related to file preparation and incomplete or inaccurate record information, the CRS Status Message XML Schema was created to check for file and record errors in the CRS XML Schema file. In this instructor-led, live training, participants will learn:
  • the basic structure of the CRS XML Schema and CRS Status Message XML Schema.
  • steps for processing these files.
  • steps for converting Excel files to XML schema files.
  • steps for filing with their respective jurisdiction.
Format of the course
  • Part lecture, part discussion, exercises and heavy hands-on practice
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Mărturii(17)

Antrenor, Richard a fost foarte bun.

Lisa
Curs - The Compliance and MLRO Refresher Programme

Tradus de catre o masina

The trainer was very knowledgeable and well prepared. I think we was very well capable to prepare a training that was suitable for our needs.

Sophia van den Broek - Triple Jump
Curs - Corporate Governance

It was a one to one session so I was able to ask specific questions relating to my own company needs. The course covered the topic really well and gave me many ideas and actions to take away

Hazel Matthews
Curs - Corporate Governance

The whole day was just great and relaxed which really helped. All the printouts really helped.

Louise Mackrell
Curs - Corporate Governance

She was very personable and presented a fluid delivery of the course material.

Karli Buckle
Curs - Corporate Governance

Vajitha was engaging, very knowledgeable, clear and prepared

Cécile McNeil
Curs - Corporate Governance

activity after each topic

JOCELYN BARTOLOME - Innovative Investors & Financing Co., Inc.; Innovative Investors & Financing Co., Inc.
Curs - Credit Risk Management for Consumer Lending

all the topics are all informative and related to our daily life and work . so its really very helpful and useful .

EMMA GABRIEL - Innovative Investors & Financing Co., Inc.; Innovative Investors & Financing Co., Inc.
Curs - Credit Risk Management for Consumer Lending

I obtained a lot of information in my line of work most especially about leadership and how our system works

HERMAN TENORIO - Innovative Investors & Financing Co., Inc.; Innovative Investors & Financing Co., Inc.
Curs - Credit Risk Management for Consumer Lending

The most like about the training is about the workshop so that we apply what i have learn about the topic

Janette Base - Innovative Investors & Financing Co., Inc.; Innovative Investors & Financing Co., Inc.
Curs - Credit Risk Management for Consumer Lending

Doing the case study was particularly helpful.. The self awareness bit was an eye opener.. all in all a great training session.

Zandrea Cabal - Innovative Investors & Financing Co., Inc.; Innovative Investors & Financing Co., Inc.
Curs - Credit Risk Management for Consumer Lending

The lecturer is very knowledgeable and can substantiate theories with his own personal experiences.

Harry Estipona
Curs - Financial Markets

real exemples of the trainer

Joana Gomes
Curs - Compliance and the Management of Compliance Risk

Serviciu personal și orientat către nevoile mele

ANN - New Vitality Clinic
Curs - GnuCash for Business Accounting

Tradus de catre o masina

The pricing strategies. Need to have more real case examples on the strategies and the pricing methods.

Ruziham A Razak - Telekom Malaysia Berhad
Curs - A Practical Guide to Successful Pricing Strategies

the exchange of ideas and the interactive nature of the conversations

Ian Reddall
Curs - A Practical Guide to Successful Pricing Strategies

Interesul instructorului față de tabloul nostru de bord pentru a face sugestii.

ELLEN CAROLINE SANTOS RIBEIRO - Aché Laboratório Farmacêuticos S.a
Curs - FinOps

Tradus de catre o masina

Other regions in Moldova

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