Training Course in Data Analysis Using MATLAB
This is a 5-day training designed for data scientists, researchers, analysts, engineers, business-intelligence and finance professionals, and anyone transitioning into data analysis roles.
Course Overview
| Course Title | Training Course in Data Analysis Using MATLAB |
| Organization | Tech For Development (T4D) |
| Venue | Tech For Development (T4D) Training Center along Tala Road, Runda, Nairobi |
| Duration | 5 days |
| Target Industries |
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| Target Job Roles |
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| Course Fees (Face-to-Face) | USD 1,100/KES 75,000 (Exclusive of VAT) |
| Course Fees (Virtual) | USD 1,000/KES 70,000 (Exclusive of VAT) |
| Training Modes | Virtual and face-to-face training |
| Payment | Payment should be made to the Tech For Development (T4D) bank account on or before the start of the course |
| Accreditation | Tech For Development Certificate of Course Completion |
This is a 5-day training designed for data scientists, researchers, analysts, engineers, business-intelligence and finance professionals, and anyone transitioning into data analysis roles.
The course equips participants with the skills to:
- Translate real-world problems into mathematical models
- Analyze and validate those models using MATLAB
- Apply mathematical modelling for both static and dynamic data
- Conduct data analysis, forecasting, and decision-making across domains.
The Data Analysis Using MATLAB training course also combines theory and hands-on exercises including linear and nonlinear modelling, regression, differential equations, optimization, simulation and case studies.
Duration
5 days
What are the Key Skills from This Course?
- Mathematical modelling
- Data analysis & mathematical problem solving
- Hands-on MATLAB tools proficiency
- Linear and nonlinear modelling & regression
- Differential-equation modelling
- Optimization and simulation
- Model validation and verification
- Handling static and dynamic data
- Interdisciplinary and applied thinking
Who Should Attend This Course?
- Data scientists and analysts
- Researchers in academia and industry
- Professionals in finance, economics, and business intelligence
- Engineers and scientists
- Educators in mathematical modelling
- Professionals transitioning to data analysis roles
Course Objectives
By the end of this training course, participants will be able to:
- Understand fundamental concepts of mathematical modelling
- Develop analytical skills for solving complex models
- Master MATLAB tools for model implementation
- Apply mathematical models to real-world situations
- Conduct comprehensive project work and presentations
- Validate and verify models using MATLAB
- Analyze big data with advanced mathematical techniques
- Integrate interdisciplinary knowledge through case studies and projects
Course Requirements
- Proficiency in English
- Access to PC with MATLAB installed
- Familiarity with data processes
Training Approaches
- Interactive lectures
- Live demonstrations
- Hands-on exercises
- Group discussions
- Real-world case studies
- Knowledge checks and quizzes
- Collaborative group work
Course Modules
Course Outline
Module I: Introduction to Mathematical Modelling
- Definition and Importance of Mathematical Modelling
- Types of Mathematical Models (Deterministic vs. Stochastic)
- Role of MATLAB in Mathematical Modelling
- Steps in the Modelling Process
- Case Study: Modelling Population Growth using MATLAB
Module II: Linear Models and Systems
- Introduction to Linear Models
- Solving Linear Equations using MATLAB
- Linear Regression Analysis in MATLAB
- System of Linear Equations and Matrices
- Case Study: Predicting Sales Growth using Linear Regression in MATLAB
Module III: Nonlinear Models and Systems
- Introduction to Nonlinear Models
- Solving Nonlinear Equations using MATLAB
- Nonlinear Regression and Curve Fitting
- MATLAB Tools for Nonlinear Modelling
- Hands-on Exercise: Modelling Chemical Reaction Rates using Nonlinear Equations
Module IV: Differential Equations in Modelling
- Introduction to Differential Equations
- Solving Ordinary Differential Equations (ODEs) with MATLAB
- Partial Differential Equations (PDEs) and MATLAB
- Applications of Differential Equations in Modelling
- Case Study: Modelling the Spread of a Disease using Differential Equations
Module V: Optimization and Simulation in MATLAB
- Basics of Optimization in Mathematical Modelling
- MATLAB Optimization Toolbox
- Simulation Techniques in MATLAB
- Sensitivity Analysis in Mathematical Models
- Case Study: Optimizing Production Processes using MATLAB Simulation
Course Administration
Methodology
Instructor-led sessions use a blended learning approach combining presentations, guided practical exercises, web-based tutorials, and group work, delivered by seasoned industry experts. All facilitation and course materials are in English, so participants should be reasonably proficient in the language.
Accreditation
Upon successful completion of this training, participants will be issued a Tech For Development Certificate of Course Completion
Training Venue
The training will be held at the Tech For Development Training Centre. The course fee covers the course tuition, training materials, two break refreshments, and lunch. All participants will additionally cater to their travel expenses, visa application, insurance, and other personal expenses.
Accommodation & Airport Transfer
Arranged upon request.For reservations contact the Training Officer:
Email: [email protected]
Phone: (+254) 790 824 179
Tailor-Made
This training can also be customized to suit the needs of your institution upon request. You can have it delivered in our T4D Training Centre or at a convenient location.
Payment
Payment should be transferred to the T4D account through a bank on or before the start of the course. Send proof of payment to [email protected].
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