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 1100/KES 75,000 (Exclusive of VAT) |
| Course Fees (Virtual) | USD 500/KES 55,000 (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
This instructor-led training course is delivered using a blended learning approach comprising presentations, guided practical sessions, web-based tutorials, and group work.
Accreditation
Participants will receive a Tech For Development Certificate of Course Completion.
Training Venue
Held at the Tech For Development Training Centre.
Accommodation & Airport Transfer
Arranged upon request.
Email: letstalk@techfordevelopment.com
Phone: (+254) 790 824 179
Tailor-Made
Customised training available.
Payment
Send proof of payment to letstalk@techfordevelopment.com.
