Machine Learning, Predictive Analytics and Data-Driven Decision-Making Course
The Machine Learning, Predictive Analytics and Data-Driven Decision-Making Course is a 5-day professional training programme delivered in-person or online in ICT-Information & Communication Technology, ending with a TrustGate Corporate Skills certificate of completion.
This programme introduces participants to machine learning, predictive analytics and the use of data to support strategic and operational decisions. It explores how organizations can use historical data to identify patterns, estimate future outcomes, classify events, detect an...
Course Overview
Learning Objectives
- Explain machine learning concepts and predictive analytics applications.
Course Content
- Artificial intelligence, machine learning and predictive analytics concepts.
- Applications of predictive modelling in business and public organizations.
- Types of analytical problems and model selection considerations.
- Analytical workflows, project objectives and success criteria.
- Data collection, integration and quality assessment.
- Missing values, duplicates, outliers and inconsistent observations.
- Descriptive statistics, distributions and exploratory visualization.
- Data splitting, leakage prevention and preparation for modelling.
- Descriptive statistics and probability concepts.
- Correlation, relationships and limitations of causal interpretation.
- Sampling, variation and uncertainty in analytical results.
- Statistical significance, confidence intervals and practical interpretation.
- Feature selection and identifying relevant predictors.
- Encoding categorical variables and scaling numerical features.
- Feature engineering and transformation techniques.
- Training datasets, validation datasets and test datasets
- Linear regression principles and practical applications.
- Multiple regression and interpreting predictor relationships.
- Regression assumptions, residual analysis and diagnostic checks.
- Evaluating predictions using MAE, RMSE and related metrics.
- Classification problems and logistic regression fundamentals.
- Decision trees and introductory classification algorithms.
- Confusion matrices, precision, recall and F1-score.
- Classification thresholds, class imbalance and decision trade-offs.
- Unsupervised learning concepts and business applications.
- K-means clustering and segment identification.
- Hierarchical clustering and alternative grouping approaches.
- Interpreting clusters and applying segmentation results.
- Time-series data, trends, seasonality and cyclical patterns.
- Moving averages and introductory forecasting techniques.
- Forecast accuracy, validation and error measurement.
- Applying forecasts to sales, budgeting, demand and resource planning.
- Overfitting, underfitting and model generalization.
- Cross-validation, baseline comparisons and model selection.
- Bias, fairness, explainability and responsible model use.
- Communicating predictions, uncertainty and decision implications.
- Defining a business problem and selecting an appropriate dataset.
- Preparing data and developing a suitable predictive model.
- Evaluating model performance and interpreting analytical findings.
- Presenting recommendations, implementation considerations and monitoring measures
Who Should Attend?
- Data analysts and business intelligence professionals.
- Research officers and quantitative researchers.
- Economists and financial analysts.
- Monitoring, evaluation and learning specialists.
- Business analysts and management consultants.
- Risk management and credit analysis professionals.
- Operations, marketing and customer analytics teams.
- ICT professionals and aspiring data scientists.
- Managers responsible for evidence-based planning and performance improvement.
Training Methodology
- Instructor-led presentations and demonstrations.
- Guided data exploration exercises.
- Predictive analytics case studies.
- Practical modelling exercises using suitable analytical tools.
- Spreadsheet-based and introductory coding activities.
- Model evaluation and interpretation workshops.
- Group projects involving organizational decision scenarios.
Is this course for you?
Level: Advanced
Problems this course solves
- Reactive rather than forward-looking planning: Introduces forecasting and predictive techniques to support proactive decisions.
- Difficulty identifying patterns in large datasets: Develops skills in exploratory analysis, clustering and pattern recognition.
- Unreliable analytical conclusions: Strengthens model evaluation, data quality assessment and interpretation of uncertainty.
- Weak translation of data into action: Connects predictive results with operational planning, resource allocation and strategic decision-making.
What's Included
Certification
Certificate inMachine Learning, Predictive Analytics and Data-Driven Decision-Making
Issued by: TRUSTGATE CORPORATE SKILLS
Frequently Asked Questions
How long is the Machine Learning, Predictive Analytics and Data-Driven Decision-Making Course training?
The Machine Learning, Predictive Analytics and Data-Driven Decision-Making Course runs for 5 Days. Each day combines expert-led teaching with practical, hands-on exercises so participants can apply what they learn immediately.
Is the Machine Learning, Predictive Analytics and Data-Driven Decision-Making Course delivered online or in-person?
This course is delivered in person (scheduled venues include Nairobi, Kigali, Dar es Salaam, Mombasa), live online, or in-house at your organisation.
How much does the Machine Learning, Predictive Analytics and Data-Driven Decision-Making Course cost?
The fee is US$600 per person online and US$1,400 per person in person. In-person fees depend on the participant's country; the pricing card on this page shows the fee for yours.
When is the next Machine Learning, Predictive Analytics and Data-Driven Decision-Making Course training?
The next scheduled session runs from 16 November 2026 to 20 November 2026 in Nairobi, Kenya / Kigali, Rwanda. You can also request a custom date or an in-house session for your team.
Do I get a certificate after completing the Machine Learning, Predictive Analytics and Data-Driven Decision-Making Course?
Yes. Participants who complete the Machine Learning, Predictive Analytics and Data-Driven Decision-Making Course receive a certificate of completion from TRUSTGATE CORPORATE SKILLS.
What will I learn in the Machine Learning, Predictive Analytics and Data-Driven Decision-Making Course?
Key learning outcomes include: Explain machine learning concepts and predictive analytics applications.
