Get in Touch

Course Outline

Introduction

Establishing the Development Environment

  • Local vs. online programming: Anaconda and Jupyter

Core Python Programming Concepts

  • Control flow, data types, functions, data structures, and operators

Enhancing Python's Functionality

  • Working with Modules and Packages

Creating Your First Python Application

  • Calculating start and end dates and times

Interacting with External Data via Python

  • Importing and exporting, as well as reading and writing CSV data
  • Connecting to and retrieving data from SQL databases

Structuring Data with Arrays and Vectors in Python

  • NumPy and vectorized operations

Data Visualization with Python

  • 2D and 3D plotting using Matplotlib, pyplot, and SciPy

Data Analysis with Python

  • Statistical analysis using scipy.stats and pandas
  • Importing and exporting financial data (Excel, web sources, etc.)

Simulating Asset Price Movements

  • Monte Carlo simulation techniques

Asset Allocation and Portfolio Optimization

  • Executing capital allocation, asset distribution, and risk evaluation

Risk Assessment and Investment Performance

  • Formulating and resolving portfolio optimization challenges

Fixed-Income Analysis and Option Pricing

  • Conducting fixed-income analysis and pricing options

Financial Time Series Analysis

  • Evaluating time series data in financial contexts

Deploying Your Python Application to Production

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

Application Performance

  • Optimizing application efficiency
  • Parallel computing and multiprocessing

Debugging and Troubleshooting

Conclusion

Requirements

  • Foundational knowledge of finance (e.g., securities, derivatives)
  • General comprehension of probability and statistics
  • Basic knowledge of differential and integral calculus
 35 Hours

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

2026-10-27 09:30
35 hours
Lille, Gare Flandres
6150 EUR (Online)
7150 EUR (Classroom)

Python Programming for Finance

2026-11-10 09:30
35 hours
Toulouse, City Center
6150 EUR (Online)
7150 EUR (Classroom)

Python Programming for Finance

2026-11-24 09:30
35 hours
Marseille, Prado Quarter
6150 EUR (Online)
7150 EUR (Classroom)

Python Programming for Finance

2026-12-08 09:30
35 hours
Montpellier, Garosud
6150 EUR (Online)
7150 EUR (Classroom)

Related Courses

Introduction to Data Science and AI using Python

 35 Hours
This 35-hour program on France focuses on practical Data Science and AI applications using Python. Participants will master CRISP-DM workflows, machine learning with TensorFlow, NLP, and Big Data processing with Spark. It is an excellent choice for beginners aiming to build career-ready analytical skills and earn Python data science certification for business environments.
Read more...

Apache Airflow for Data Science: Automating Machine Learning Pipelines

 21 Hours

This instructor-led live training, held in France (online or onsite), is designed for 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 France provides senior leaders with the practical expertise needed to prevent AML and CTF. It covers FATF guidelines, compliance frameworks, and risk identification methods, empowering organizations to accurately detect and escalate suspicious financial transactions.
Read more...

AWS Cloud9 for Data Science

 28 Hours

This instructor-led, live training in France (online or onsite) is aimed at intermediate-level data scientists and analysts who wish to use AWS Cloud9 for streamlined data science workflows.

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

  • Set up a data science environment in AWS Cloud9.
  • Perform data analysis using Python, R, and Jupyter Notebook in Cloud9.
  • Integrate AWS Cloud9 with AWS data services like S3, RDS, and Redshift.
  • Utilize AWS Cloud9 for machine learning model development and deployment.
  • Optimize cloud-based workflows for data analysis and processing.
Read more...

Practical Cash Management and Corporate Liquidity Planning

35 Hours

This five-day course offers participants a hands-on comprehension of corporate cash management, liquidity planning, and short-term treasury operations. Emphasizing real-world business applications, the program empowers attendees to effectively monitor cash positions, generate reliable cash-flow forecasts, optimize working capital, manage banking relationships, enhance payment controls, and make well-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, strengthen 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 France (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 training in France empowers managers to recognize and reduce fraud risks for eCommerce businesses. It examines the origins of fraud, analyzes platform weaknesses, assesses organizational readiness for new anti-fraud tools, and guides teams in communicating the right policies.
Read more...

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

 14 Hours

This instructor-led live training, offered online or onsite, is intended for developers aiming to leverage the FARM (FastAPI, React, and MongoDB) stack to build dynamic, high-performance, and scalable web applications.

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

  • Set up the necessary development environment that integrates FastAPI, React, and MongoDB.
  • Understand the key concepts, features, and benefits of the FARM stack.
  • Learn how to build REST APIs with FastAPI.
  • Learn how to design interactive applications with React.
  • Develop, test, and deploy applications (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 France (online or onsite) targets developers who wish to use FastAPI with Python to build, test, and deploy RESTful APIs more easily and quickly.

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

  • Set up the necessary development environment to develop APIs with Python and FastAPI.
  • Create APIs quicker and easier 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 the FastAPI tools.
  • Build container images and deploy web APIs to a cloud server.
Read more...

Financial Markets

 14 Hours
This interactive course on France provides a deep, practical insight into major financial markets, their functions, and regulatory environments. It examines asset classes, regulatory standards, clearing, settlement, and alternative investments, making it ideal for professionals seeking to strengthen their client service capabilities and market participation skills.
Read more...

FinOps

 7 Hours

This instructor-led training, offered in France (online or on-site), targets cloud administrators, cloud architects, technology heads, and financial analysts who wish to record, manage, monitor, and process organizational financial assets within the cloud.

By the end of this training, participants will be capable of implementing FinOps practices in their organization to forecast costs, optimize processes, and carry out financial management operations in the cloud.

Read more...

FinOps Certified FOCUS Analyst Preparation

 14 Hours

This instructor-led, live training in France (online or onsite) is designed for intermediate-level finance professionals aiming to acquire comprehensive knowledge of FinOps principles and methodologies, covering 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 France (online or onsite) is designed for advanced-level cloud financial management professionals who wish to validate their expertise in financial operations (FinOps) related to cloud cost management.

Upon completing this training, participants will be able to:

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

Learning Xero

 14 Hours

This instructor-led live training (onsite or remote) targets accountants and bookkeepers interested in using Xero for bookkeeping purposes.

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

  • Obtain a real-time view of cash flow.
  • Link bank accounts to Xero for reconciliation.
  • Prepare and verify VAT (Value Added Tax) returns in Xero.
  • Create reports to share among team members.
Read more...

Management Accounting and Finance for Non-Finance Professionals

 14 Hours

This instructor-led, live training in France (online or onsite) is designed for non-finance professionals at a beginner level who wish to gain 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