Financial Data Analytics with Python

AI, Technology & Digital · 5 Days · Public · Al-Khobraa certified · From USD 3,900

Overview

In today’s data-driven financial world, the ability to process, analyse, and interpret large financial datasets is a critical skill for professionals across banking, investment, risk management, and corporate finance. Python has become the leading tool for financial analytics, offering powerful libraries for data manipulation, statistical modelling, machine learning, and predictive analysis.

Learning Objectives

• Use Python for financial data analysis, including data cleaning, processing, and visualisation
• Apply statistical and machine learning techniques to financial forecasting and risk assessment
• Develop and interpret financial models, including valuation, portfolio optimisation, and scenario analysis
• Leverage big data and sentiment analysis for financial decision-making and market predictions
• Implement algorithmic trading strategies and understand ethical and regulatory considerations in financial data analytics

Who Should Attend

This Financial Data Analytics with Python training course is designed for professionals looking to enhance their financial data analytics skills. It is most suitable for:

• Finance professionals and analysts
• Investment and risk managers
• Traders and investment professionals
• Consultants and decision-makers

Course Outline

Day 1 — Introduction to Financial Data Analytics

• Understanding the role of data analytics in finance
• Overview of Python programming for financial applications
• Setting up the Python environment: Jupyter Notebooks
• Introduction to essential Python libraries: NumPy, Pandas, Matplotlib

Day 2 — Exploratory Data Analysis (EDA) in Finance

• Data cleaning and preprocessing techniques
• Descriptive statistics and data summarisation
• Visualising financial data trends and patterns
• Time series analysis fundamentals

Day 3 — Financial Modelling and Analysis

• Implementing financial models using Python
• Valuation of financial instruments: bonds, stocks, derivatives
• Risk assessment and management techniques
• Portfolio optimisation and analysis

Day 4 — Machine Learning Applications in Finance

• Introduction to machine learning concepts
• Supervised learning: regression and classification models
• Unsupervised learning: clustering and dimensionality reduction
• Developing predictive models for financial forecasting

Day 5 — Advanced Topics

• Algorithmic trading strategies and backtesting
• Sentiment analysis using financial news and social media
• Big data analytics in finance
• Ethical considerations and regulatory compliance in financial data analytics

Accreditation

Al-Khobraa certified. On completion delegates receive an Al-Khobraa certificate of achievement.

Dates & Venues

Dates	Venue	Delivery	Duration	Fee (USD)
20–24 September 2026	Dubai, UAE	Public	5 days	3,900
29 November – 3 December 2026	Istanbul, Turkey	Public	5 days	4,500
7–11 December 2026	Cape Town, South Africa	Public	5 days	4,500

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Frequently Asked Questions

What do Al-Khobraa AI, technology and digital courses cover?

The portfolio covers cyber security, data analytics and data science, artificial intelligence (AI) and machine learning, Power BI and Excel for analysis, digital transformation and IT governance. Courses are applied — delegates work with real datasets and tools rather than slideware.

Who should attend an AI, technology or digital course?

These courses suit IT and cyber security staff, data and business analysts, engineers and operations professionals who work with plant or business data, digital transformation teams, and managers who commission or govern technology projects. Foundation-level courses assume no programming background.

How long are AI, technology and digital courses, and where are they held?

Most Al-Khobraa AI, technology and digital courses run over 5 days. The exact duration, dates and city for this course are listed in the dates section on this page. Public sessions run across Saudi Arabia — Riyadh, Jeddah, Al-Khobar, Jubail and Yanbu — as well as regional and international venues, with live virtual classrooms available on request.

What certificate will I receive?

Delegates who complete the course receive an Al-Khobraa certificate of completion, issued by a Saudi-registered training provider. Al-Khobraa also delivers internationally accredited programmes; where a course carries an external awarding body such as PMI, CIPS, ILM or IOSH, that body is named on the course's own page.

Can AI, technology and digital training be delivered in-house for our team?

Yes. Any Al-Khobraa AI, technology and digital course can be delivered in-house at your own premises anywhere in Saudi Arabia or the GCC, with the content, dates and language of delivery tailored to your team. Al-Khobraa is an approved HRDF (Hadaf) provider, so eligible Saudi employers can seek training support. Contact us for a quotation.

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