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Professional training course · DMBI-013

Financial Data Analytics with Python

Financial decision-making increasingly depends on the ability to analyze large volumes of data quickly and accurately. Traditional spreadsheet-based analysis is no longer…

  • 5 daysClassroom
  • 13Upcoming dates
  • 5Cities
  • £2,250Fees from
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Financial Data Analytics with Python
Next classroom session Frankfurt 14 - 18 Dec 2026 · £3,250 Next in London London 21 - 25 Jun 2027 · £4,200

Course overview

Why Attend

Financial decision-making increasingly depends on the ability to analyze large volumes of data quickly and accurately. Traditional spreadsheet-based analysis is no longer sufficient for handling complex datasets, forecasting trends, and uncovering hidden insights.

Python has emerged as a powerful tool for financial analytics, enabling professionals to automate analysis, build predictive models, and visualize financial data with precision and efficiency.

This course is designed to provide a practical foundation in using Python for financial data analysis. Participants will learn how to work with financial datasets, perform data manipulation, conduct analysis, and generate meaningful insights to support strategic and operational decisions.

Course Methodology

This programme combines hands-on coding with applied financial analysis:

  • Guided coding exercises using Python
  • Real-world financial datasets and scenarios
  • Step-by-step demonstrations of analytical techniques
  • Interactive problem-solving sessions
  • Practical frameworks for financial data interpretation

Course Objectives

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

  • Understand the fundamentals of Python for financial analysis
  • Import, clean, and manipulate financial datasets
  • Perform exploratory data analysis (EDA)
  • Apply statistical techniques to financial data
  • Create visualizations to communicate insights
  • Automate financial analysis workflows
  • Build simple predictive models for financial forecasting

Target Audience

This course is suitable for:

  • Financial Analysts and Accountants
  • Investment and Portfolio Analysts
  • Risk and Compliance Professionals
  • Business and Data Analysts
  • Finance Managers and Controllers
  • Professionals interested in financial technology (FinTech)

Target Competencies

Participants will develop competencies in:

  • Python programming for financial applications
  • Data cleaning and preprocessing
  • Financial data analysis and interpretation
  • Data visualization and reporting
  • Automation of analytical workflows
  • Basic predictive modeling
  • Data-driven financial decision-making 

Course outline

  1. 1Day 1: Introduction to Python for Financial Analytics
    • Overview of Python in finance
    • Setting up the Python environment
    • Basic Python programming concepts
    • Working with variables, data types, and structures
    • Introduction to key libraries (Pandas, NumPy)
    • Loading and exploring financial datasets
  2. 2Day 2: Data Preparation and Exploration
    • Data cleaning and preprocessing techniques
    • Handling missing and inconsistent data
    • Data transformation and normalization
    • Exploratory Data Analysis (EDA)
    • Summary statistics and financial indicators
    • Practical exercises with financial data
  3. 3Day 3: Financial Analysis and Visualization
    • Time series data in finance
    • Analyzing trends and patterns
    • Data visualization using Python libraries (Matplotlib, Seaborn concepts)
    • Creating charts for financial reporting
    • Interpreting analytical outputs
    • Case study: financial performance analysis
  4. 4Day 4: Statistical Modeling and Forecasting
    • Introduction to statistical methods in finance
    • Correlation and regression analysis
    • Basic predictive modeling techniques
    • Time series forecasting concepts
    • Evaluating model performance
    • Practical modeling exercises
  5. 5Day 5: Automation and Decision Support
    • Automating financial analysis workflows
    • Building reusable scripts for reporting
    • Integrating data analysis into decision-making
    • Risk analysis using data models
    • Best practices in financial analytics
    • Final project and presentation

Schedule

Dates and fees

13 upcoming dates in 5 cities. Fees are per delegate; bring colleagues and every seat is discounted.

All dates as PDF
December 2026
14DEC 14 - 18 Dec 2026Mon to Fri · 5 daysNext session
Germany flag FrankfurtGermany · Classroom
£3,250per delegate2+ people: £2,600 each
Register
January 2027
18JAN 18 - 22 Jan 2027Mon to Fri · 5 days
Spain flag BarcelonaSpain · Classroom
£3,850per delegate2+ people: £3,080 each
Register
February 2027
15FEB 15 - 19 Feb 2027Mon to Fri · 5 days
Germany flag FrankfurtGermany · Classroom
£3,250per delegate2+ people: £2,600 each
Register
March 2027
15MAR 15 - 19 Mar 2027Mon to Fri · 5 days
Italy flag RomeItaly · Classroom
£4,250per delegate2+ people: £3,400 each
Register
April 2027
19APR 19 - 23 Apr 2027Mon to Fri · 5 days
Malaysia flag Kuala LumpurMalaysia · Classroom
£2,250per delegate2+ people: £1,800 each
Register
May 2027
17MAY 17 - 21 May 2027Mon to Fri · 5 days
Spain flag BarcelonaSpain · Classroom
£3,850per delegate2+ people: £3,080 each
Register
June 2027
21JUN 21 - 25 Jun 2027Mon to Fri · 5 daysOur home city
United Kingdom flag LondonUnited Kingdom · Classroom
£4,200per delegate2+ people: £3,360 each
Register
July 2027
19JUL 19 - 23 Jul 2027Mon to Fri · 5 days
Germany flag FrankfurtGermany · Classroom
£3,250per delegate2+ people: £2,600 each
Register
August 2027
16AUG 16 - 20 Aug 2027Mon to Fri · 5 days
Spain flag BarcelonaSpain · Classroom
£3,850per delegate2+ people: £3,080 each
Register
September 2027
20SEP 20 - 24 Sep 2027Mon to Fri · 5 days
Germany flag FrankfurtGermany · Classroom
£3,250per delegate2+ people: £2,600 each
Register
October 2027
18OCT 18 - 22 Oct 2027Mon to Fri · 5 days
Italy flag RomeItaly · Classroom
£4,250per delegate2+ people: £3,400 each
Register
November 2027
15NOV 15 - 19 Nov 2027Mon to Fri · 5 days
Malaysia flag Kuala LumpurMalaysia · Classroom
£2,250per delegate2+ people: £1,800 each
Register
December 2027
20DEC 20 - 24 Dec 2027Mon to Fri · 5 days
Spain flag BarcelonaSpain · Classroom
£3,850per delegate2+ people: £3,080 each
Register

Questions

Frequently asked questions

How long is the Financial Data Analytics with Python course?

The course runs over 5 days of classroom training, usually Monday to Friday.

When is the next Financial Data Analytics with Python course?

The next public date is 14 - 18 Dec 2026 in Frankfurt. There are 13 upcoming dates in total.

Where is this course held?

Upcoming sessions run in Frankfurt, Barcelona, Rome, Kuala Lumpur, London.

How much does the course cost?

Fees start from £2,250 per delegate, depending on the city. Fees include tuition and course materials.

Do participants receive a certificate?

Yes. Delegates who complete the course receive a London Leadership Management Innovation certificate of completion.

Can this course be delivered in-house for our team?

Yes. LLMI can tailor and deliver this course privately for your organisation at your premises or in one of our training cities.

Course information last updated 14 November 2026.

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