Course Outline

Introduction to Machine Learning in Business

  • Machine learning as a core component of Artificial Intelligence
  • Types of machine learning: supervised, unsupervised, reinforcement, semi-supervised
  • Common ML algorithms used in business applications
  • Challenges, risks, and potential uses of ML in AI
  • Overfitting and the bias-variance tradeoff

Machine Learning Techniques and Workflow

  • The Machine Learning lifecycle: problem to deployment
  • Classification, regression, clustering, anomaly detection
  • When to use supervised vs unsupervised learning
  • Understanding reinforcement learning in business automation
  • Considerations in ML-driven decision-making

Data Preprocessing and Feature Engineering

  • Data preparation: loading, cleaning, transforming
  • Feature engineering: encoding, transformation, creation
  • Feature scaling: normalization, standardization
  • Dimensionality reduction: PCA, variable selection
  • Exploratory data analysis and business data visualization

Case Studies in Business Applications

  • Advanced feature engineering for improved prediction using linear regression
  • Time series analysis and forecasting monthly volume of sales: seasonal adjustment, regression, exponential smoothing, ARIMA, neural networks
  • Segmentation analysis using clustering and self-organizing maps
  • Market basket analysis and association rule mining for retail insights
  • Customer default classification using logistic regression, decision trees, XGBoost, SVM

Summary and Next Steps

Requirements

  • Basic understanding of machine learning concepts and terminology
  • Familiarity with data analysis or working with datasets
  • Some exposure to a programming language (e.g. Python) is beneficial but not mandatory

Audience

  • Business analysts and data professionals
  • Decision makers interested in AI adoption
  • IT professionals exploring machine learning applications in business
 14 Hours

Delivery Options

Private Group Training

Our identity is rooted in delivering exactly what our clients need.

  • Pre-course call with your trainer
  • Customisation of the learning experience to achieve your goals -
    • Bespoke outlines
    • Practical hands-on exercises containing data / scenarios recognisable to the learners
  • Training scheduled on a date of your choice
  • Delivered online, onsite/classroom or hybrid by experts sharing real world experience

Private Group Prices RRP from €4560 online delivery, based on a group of 2 delegates, €1440 per additional delegate (excludes any certification / exam costs). We recommend a maximum group size of 12 for most learning events.

Contact us for an exact quote and to hear our latest promotions


Public Training

Please see our public courses

Testimonials (2)

Provisonal Upcoming Courses (Contact Us For More Information)

Related Categories