Get in Touch
 Duration 35 hours

Course Outline

Introduction

Establishing the Development Environment

  • Local programming versus online environments: Utilizing Anaconda and Jupyter

Core Python Programming Concepts

  • Flow control, data types, function definition, data structures, and operator usage

Enhancing Python Functionality

  • Working with modules and packages

Developing Your Initial Python Application

  • Calculating initial and final dates and times

Retrieving External Data via Python

  • Handling CSV data through import, export, read, and write operations
  • Interacting with SQL database information

Structuring Data with Python Arrays and Vectors

  • Leveraging NumPy and vectorized operations

Data Visualization with Python

  • Creating 2D and 3D plots using Matplotlib, pyplot, and SciPy

Data Analysis Using Python

  • Executing data analysis with scipy.stats and pandas
  • Managing financial data import and export (including Excel and web sources)

Modeling Asset Price Movements

  • Implementing Monte Carlo simulations

Asset Allocation and Portfolio Optimization

  • Executing capital allocation, asset distribution, and risk evaluation

Risk Assessment and Investment Performance Evaluation

  • Formulating and resolving portfolio optimization challenges

Fixed-Income Analysis and Options Valuation

  • Conducting fixed-income assessments and pricing options

Financial Time Series Analysis

  • Examining time series data within financial markets

Deploying Python Applications to Production

  • Integrating your application with Excel and other web-based tools

Application Performance Enhancement

  • Optimizing application efficiency
  • Utilizing Parallel Computing and Multiprocessing

Debugging and Troubleshooting

Concluding Remarks

Requirements

  • Familiarity with financial instruments such as securities and derivatives
  • A broad understanding of probability and statistical principles
  • Basic knowledge of differential and integral calculus

Number of participants


Price per participant

Open Training Courses require 5+ participants.

Testimonials (3)

How to manage business financials

surprise mtileni - Hatima Holdings (Pty) ltd
Course - Learning Xero

Good communication, open for discussion, kept it interesting and engaging

Ahmet Keyman - Keytrade AG
Course - Management Accounting and Finance for Non-Finance Professionals

Hands-on exercises related to content really helps to understand more about each topic. Also, style of start class with lecture and continue with hands-on exercise is good and helpful to relate with the lecture that presented earlier.

Nazeera Mohamad - Ministry of Science, Technology and Innovation
Course - Introduction to Data Science and AI using Python

Upcoming Courses

Python Programming for Finance

2026-11-06 09:30
35 hours
Green Heart Complex
1013 EUR (Online)
1013 EUR (Classroom)

Python Programming for Finance

2026-11-20 09:30
35 hours
Green Heart Complex
1013 EUR (Online)
1013 EUR (Classroom)

Python Programming for Finance

2026-12-04 09:30
35 hours
Green Heart Complex
1013 EUR (Online)
1013 EUR (Classroom)

Python Programming for Finance

2026-12-18 09:30
35 hours
Green Heart Complex
1013 EUR (Online)
1013 EUR (Classroom)

Python Programming for Finance

2027-01-01 09:30
35 hours
Green Heart Complex
1013 EUR (Online)
1013 EUR (Classroom)

Related Courses

Introduction to Data Science and AI using Python

 35 Hours
This 35-hour program on Serbia focuses on the practical application of Data Science and AI using Python. Participants will study CRISP-DM workflows, machine learning utilizing TensorFlow, NLP, and Big Data via Spark. It is designed for beginners looking to gain job-ready analytics proficiency and pursue Python data science certification for business applications.
Read more...

Apache Airflow for Data Science: Automating Machine Learning Pipelines

 21 Hours

This instructor-led, live training in Serbia (online or onsite) is aimed at intermediate-level participants who wish to automate and manage machine learning workflows, including model training, validation, and deployment using Apache Airflow.

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

  • Set up Apache Airflow for machine learning workflow orchestration.
  • Automate data preprocessing, model training, and validation tasks.
  • Integrate Airflow with machine learning frameworks and tools.
  • Deploy machine learning models using automated pipelines.
  • Monitor and optimize machine learning workflows in production.
Read more...

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

 14 Hours
This 14-hour program in Serbia empowers senior leaders with actionable insights into AML and CTF prevention. It delves into FATF recommendations, robust compliance frameworks, and advanced risk detection methodologies, enabling organizations to proficiently identify and report suspicious financial transactions.
Read more...

Basics of Financial Markets. Banking Overview

 14 Hours

The course 'Fundamentals of Financial Markets: Banking Overview' enables participants to understand the structure of financial markets, retail, and investment banking. Participants will acquire basic theoretical knowledge useful for projects in this area. The course covers key terms, functions of financial markets, different types of banks, and financial instruments.

Read more...

Practical Cash Management and Corporate Liquidity Planning

35 Hours

This five-day programme equips participants with a hands-on understanding of corporate cash management, liquidity planning, and short-term treasury operations. The curriculum emphasizes real-world business applications, allowing attendees to effectively monitor cash positions, develop accurate cash-flow forecasts, optimize working capital, manage banking relationships, reinforce payment controls, and make informed funding and investment decisions.

Through practical exercises, case studies, and business scenarios, participants will acquire the knowledge and tools necessary to improve liquidity visibility, enhance financial control, and establish a structured cash management framework within their organizations.

Read more...

Data Analysis with Python, Pandas and Numpy

 14 Hours

This instructor-led, live training in Serbia (online or onsite) is aimed at intermediate-level Python developers and data analysts who wish to enhance their skills in data analysis and manipulation using Pandas and NumPy.

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

  • Set up a development environment that includes Python, Pandas, and NumPy.
  • Create a data analysis application using Pandas and NumPy.
  • Perform advanced data wrangling, sorting, and filtering operations.
  • Conduct aggregate operations and analyze time series data.
  • Visualize data using Matplotlib and other visualization libraries.
  • Debug and optimize their data analysis code.
Read more...

eCommerce Fraud Strategy for Managers

 14 Hours
This instructor-led course in Serbia empowers managers to detect and reduce fraud risks in eCommerce environments. It examines fraud patterns, identifies platform vulnerabilities, assesses organizational readiness for new protective measures, and strategies for communicating policies to staff.
Read more...

FARM (FastAPI, React, and MongoDB) Full Stack Development

 14 Hours

This instructor-led, live training (available online or onsite) targets developers who want to utilize the FARM (FastAPI, React, and MongoDB) stack to create dynamic, high-performance, and scalable web applications.

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

  • Configure the necessary development environment integrating FastAPI, React, and MongoDB.
  • Comprehend the key concepts, features, and benefits of the FARM stack.
  • Build REST APIs using FastAPI.
  • Design interactive applications with React.
  • Develop, test, and deploy applications (both front end and back end) using the FARM stack.
Read more...

Developing APIs with Python and FastAPI

 14 Hours

This instructor-led live training in Serbia (online or onsite) is intended for developers who want to use FastAPI with Python to build, test, and deploy RESTful APIs with greater speed and ease.

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

  • Set up the required development environment to build APIs with Python and FastAPI.
  • Create APIs faster and more easily using the FastAPI library.
  • Learn how to create data models and schemas based on Pydantic and OpenAPI.
  • Connect APIs to a database using SQLAlchemy.
  • Implement security and authentication in APIs using FastAPI tools.
  • Build container images and deploy web APIs to a cloud server.
Read more...

Financial Markets

 14 Hours
This interactive training in Serbia provides in-depth practical knowledge of key financial markets, their functions, and regulations. It covers asset classes, regulatory frameworks, clearing, settlement, and alternative investments. Ideal for enhancing skills in client services and market participation.
Read more...

FinOps

 7 Hours

This instructor-led live training in Serbia (online or onsite) is aimed at cloud administrators, cloud architects, technology heads, and financial analysts who wish to record, manage, monitor, and process financial assets of an organization in the cloud.

By the end of this training, participants will be able to use FinOps practices in an organization to forecast costs, optimize processes, and perform financial management operations in the cloud.

Read more...

FinOps Certified FOCUS Analyst Preparation

 14 Hours

This instructor-led, live training in Serbia (online or onsite) targets intermediate-level finance professionals seeking comprehensive knowledge of FinOps principles and methodologies, including cloud financial management, optimization strategies, and collaboration among finance, engineering, and business teams.

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

  • Understand the FinOps framework, principles, and phases.
  • Manage cloud costs effectively through data analysis and governance.
  • Collaborate between finance, engineering, and business units to align cloud spend.
  • Use FinOps tools for cost allocation, forecasting, and optimization.
  • Prepare for the FinOps Certified FOCUS Analyst exam.
Read more...

FinOps Certified Professional Preparation

 21 Hours

This instructor-led, live training in Serbia (online or on-site) is designed for advanced-level cloud financial management professionals who wish to validate their expertise in financial operations (FinOps) related to cloud cost management.

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

  • Acquire the advanced knowledge necessary for the FinOps Certified Professional exam.
  • Comprehend complex FinOps practices, such as cost optimization, budget management, and reporting.
  • Develop practical skills for applying FinOps strategies in real-world scenarios.
  • Prepare effectively to successfully pass the FinOps Certified Professional exam.
Read more...

Learning Xero

 14 Hours

This instructor-led live training (onsite or remote) is designed for accountants and bookkeepers looking to utilize Xero for bookkeeping purposes.

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

  • Obtain a real-time perspective on cash flow.
  • Connect bank accounts with Xero to facilitate bank reconciliation.
  • Prepare and review VAT (Value Added Tax) returns within Xero.
  • Generate reports for distribution among team members.
Read more...

Management Accounting and Finance for Non-Finance Professionals

 14 Hours

This instructor-led, live training in Serbia (online or onsite) targets beginner-level non-finance professionals who wish to develop a foundational understanding of the financial and accounting principles essential for effective business decision-making.

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

  • Understand basic financial and accounting concepts that are essential for business decision-making.
  • Interpret and analyze financial statements such as income statements, balance sheets, and cash flow statements.
  • Apply key financial ratios to assess the financial health of a business.
  • Develop and manage budgets and perform variance analysis to monitor business performance.
  • Use break-even analysis to support operational and strategic decisions.
Read more...

Related Categories

Finance
Finance
Python
Python
Data Science
Data Science