Executive Master in Strategic Finance and Business Leadership

Marketing Management Executive Diploma - Branding    

Course ID:   2605110102144LuEMT

Course Dates :          11/05/26             Course Duration :   5   Studying Day/s   Course Location: London,   UK

Language:  Bilingual


Course Category:          Executive Diploma


Course Subcategories:   


Course Certified By:  LondonUni - Executive Management Training


* Executive Diploma Certificate
Leading to:
Executive Mini Masters Certificate
Leading to
Executive Masters Certificate


Certification Will Be Issued From :  From London, United Kingdom


Course Fees:      £0.00

Vat Not Included in the price. VAT may vary depending on the country where the course or workshop is held.

Click to Pay

Pay in Full Now

Pay in Full Now

Outlines Read More

https://www.educationandserviceshub.net/2026-training-outlines-short/2605110102144LuEMT
Executive Master in Strategic Finance and Business Leadership

Course Information

Introduction

Objectives

Who Should Attend?

Training Method

• Pre-assessment
• Live group instruction
• Use of real-world examples, case studies and exercises
• Interactive participation and discussion
• Power point presentation, LCD and flip chart
• Group activities and tests
• Each participant receives a 7” Tablet containing a copy of the presentation, slides and handouts
• Post-assessment

Program Support

This program is supported by:
* Interactive discussions
* Role-play
* Case studies and highlight the techniques available to the participants.

Daily Agenda

Daily Schedule (Monday to Friday)
- 09:00 AM – 10:30 AM Technical Session 1
- 10:30 AM – 12:00 PM Technical Session 2
- 12:00 PM – 01:00 PM Technical Session 3
- 01:00 PM – 02:00 PM Lunch Break (If Applicable)
- Participants are expected to engage in guided self-study, reading, or personal reflection on the day’s content. This contributes toward the CPD accreditation and deepens conceptual understanding.
- 02:00 PM – 04:00 PM Self-Study & Reflection

Please Note:
- All training sessions are conducted from Monday to Friday, following the standard working week observed in the United Kingdom and European Union. Saturday and Sunday are official weekends and are not counted as part of the course duration.
- Coffee and refreshments are available on a floating basis throughout the morning. Participants may help themselves at their convenience to ensure an uninterrupted learning experience Provided if applicable and subject to course delivery arrangements.
- Lunch Provided if applicable and subject to course delivery arrangements.

Course Outlines

Part 1 / 5
Day 1: Introduction to Machine Learning

Overview of Machine Learning and its Applications
Types of Machine Learning: Supervised, Unsupervised, and Reinforcement Learning
Key Concepts: Features, Labels, and Datasets
Setting Up a Machine Learning Environment

Day 2: Data Preprocessing and Exploration

Importance of Data Preprocessing in Machine Learning
Techniques: Cleaning, Normalization, and Feature Scaling
Data Visualization and Insights Extraction
Splitting Data: Training, Validation, and Testing Sets

Day 3: Core Machine Learning Algorithms

Linear Regression and Logistic Regression
Decision Trees and Random Forests
K-Nearest Neighbors (KNN) and Support Vector Machines (SVM)
Hands-on Session: Building a Simple Predictive Model

Day 4: Model Evaluation and Optimization

Metrics for Evaluating Model Performance (Accuracy, Precision, Recall, F1 Score)
Understanding Overfitting and Underfitting
Hyperparameter Tuning Techniques
Cross-Validation Methods

Day 5: Practical Applications and Ethical Considerations

Real-World Applications of Machine Learning (e.g., Healthcare, Finance, Marketing)
Tools and Libraries: Scikit-learn, TensorFlow, and PyTorch
Ethical Issues in Machine Learning: Bias, Fairness, and Privacy
Final Project: Developing and Evaluating a Basic Machine Learning Model