Mercure Lisboa Almada

9, Rua Abel Salazar, 9, PRAGAL 2805-313 ALMADA, Almada, Portugal, 2805-313 Almada

"A perfect getaway about 30 minutes from Lisbon". Disconnect from the world and discover the Mercure Lisboa Almada Hotel. This 4-star hotel set in a green zone overlooks the Tagus River and the mythical Cristo Rei. A short drive away, relax on beautiful Costa da Caparica beaches. There is a modern restaurant with a wide variety of natural fruit juices and mocktails, plus 4 fully equipped meeting rooms.

Subcategories (7)

Explore Our Courses

Management Accounting and Finance for Non-Finance Professionals

14 Hours

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

35 Hours

QuickBooks for Financial and Administrative Accounting

14 Hours

Financial Action Task Force (FATF) Recommendations

14 Hours

FinOps Certified Professional Preparation

21 Hours

Prompt Engineering for Finance

14 Hours

Financial Action Task Force (FATF) Mutual Evaluation

21 Hours

FinOps Certified FOCUS Analyst Preparation

14 Hours

SWIFT for Banking Professionals

7 Hours

Extrajudicial and Judicial Collection

14 Hours

OneStream for Financial Analysts: Certification Preparation

14 Hours

Financial Analysis in Excel

14 Hours

R Programming for Finance

28 Hours

Python Programming for Finance

35 Hours

kdb+ and q: Analyze Time Series Data

21 Hours

Anti-Money Laundering (AML) and Combating Terrorist Financing (CTF)

14 Hours

The Compliance and MLRO Refresher Programme

7 Hours

Corporate Governance

7 Hours

Credit Risk Management for Consumer Lending

21 Hours

Deep Learning for Banking (with Python)

28 Hours

eCommerce Fraud Strategy for Managers

14 Hours

FATCA Compliance for Financial Professionals

7 Hours

FinOps

7 Hours

GnuCash for Business Accounting

7 Hours

Investment Banking: Introduction to Structured Products

21 Hours

IFRS 17 (International Financial Reporting Standard)

21 Hours

Learning Xero

14 Hours

Compliance and the Management of Compliance Risk

21 Hours

MATLAB Fundamentals + MATLAB for Finance

35 Hours

Machine Learning for Banking (with Python)

21 Hours

Machine Learning for Finance (with Python)

21 Hours

Open Bank Project for Developers

14 Hours

A Practical Guide to Successful Pricing Strategies

7 Hours

QAD for Financials

7 Hours

Online Payment Processing with Stripe

14 Hours

Overview of Structured Products

14 Hours

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Testimonials (8)

Provisional Upcoming Courses (Contact Us For More Information)

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