Introduction to Mathematical Modelling for Data Analysis

INTRODUCTION

Problem-solving and data analysis whether for an institution, projects or research is made easier through using mathematical algorithms. This course aims at equipping individuals with skills to model real life problems and data mathematically to solve or analyze them. The course entails different modelling techniques, data analysis methods and an understanding of both dynamic data and static data.

 DURATION

5 days

WHO SHOULD ATTEND

Managers, Research Associates, Analysts

COURSE LEVEL:

Register for the course


Face to Face Schedules By Location
Nairobi Schedules:
Code Date Duration Location Fees
MMD017 20 Feb 2023 - 24 Feb 2023 5 days Nairobi, Kenya KES 75,000 | USD 1,100 Register
MMD017 20 Mar 2023 - 24 Mar 2023 5 days Nairobi, Kenya KES 75,000 | USD 1,100 Register
MMD017 17 Apr 2023 - 21 Apr 2023 5 days Nairobi, Kenya KES 75,000 | USD 1,100 Register
MMD017 15 May 2023 - 19 May 2023 5 days Nairobi, Kenya KES 75,000 | USD 1,100 Register
MMD017 19 Jun 2023 - 23 Jun 2023 5 days Nairobi, Kenya KES 75,000 | USD 1,100 Register
MMD017 17 Jul 2023 - 21 Jul 2023 5 days Nairobi, Kenya KES 75,000 | USD 1,100 Register
MMD017 21 Aug 2023 - 25 Aug 2023 5 days Nairobi, Kenya KES 75,000 | USD 1,100 Register
MMD017 18 Sep 2023 - 22 Sep 2023 5 days Nairobi, Kenya KES 75,000 | USD 1,100 Register
MMD017 16 Oct 2023 - 20 Oct 2023 5 days Nairobi, Kenya KES 75,000 | USD 1,100 Register
MMD017 20 Nov 2023 - 24 Nov 2023 5 days Nairobi, Kenya KES 75,000 | USD 1,100 Register
MMD017 18 Dec 2023 - 22 Dec 2023 5 days Nairobi, Kenya KES 75,000 | USD 1,100 Register
Kigali Schedules:
Mombasa Schedules:
Nakuru Schedules:
Kisumu Schedules:
Naivasha Schedules:
Virtual Trainer Led Schedules
Contact Us on (+254) 715 077 817 / (+254) 792 516 000 or email us [email protected] for a virtual schedule.
Code Date Duration Period Fees
E-Learning

Contact Us on (+254) 715 077 817 / (+254) 792 516 000 or email us [email protected] for E-Learning course.


COURSE OBJECTIVES

This course targets at equipping those who take it with ability to turn problems and data into a solvable mathematical models. Through this, data analysis and problem solving is made easier.


MODULES

Module 1

  • Introduction to mathematical modelling
  • Linear and non-linear systems
  • Uncertainty and probability modelling
  • Constitutive modelling
  • Dynamical modelling
  • Statistical modelling

Module 2

  • Kinematics
  • Regular and chaotic dynamics
  • Static and dynamic optimism
  • Bifurcation of flows
  • Equilibrium and linearization
  • Transformations

Module 3

  • Attractors and long term behavior
  • Numerical Analysis
  • Asymptotic analysis
  • Complex analysis
  • Big data analysis

Module 4

  • Mathematics in real life situations
  • Applications

Course Administration Details:

METHODOLOGY

The instructor led trainings are delivered using a blended learning approach and comprise of presentations, guided sessions of practical exercise, web-based tutorials and group work. Our facilitators are seasoned industry experts with years of experience, working as professional and trainers in these fields.

All facilitation and course materials will be offered in English. The participants should be reasonably proficient in English.

ACCREDITATION

Upon successful completion of this training, participants will be issued with an Indepth Research Institute (IRES) certificate certified by the National Industrial Training Authority (NITA).

TRAINING VENUE

The training will be held at IRES Training Centre. The course fee covers the course tuition, training materials, two break refreshments and lunch.

All participants will additionally cater for their, travel expenses, visa application, insurance, and other personal expenses.

ACCOMMODATION AND AIRPORT PICKUP

Accommodation and airport pickup are arranged upon request. For reservations contact the Training Officer.

Email:[email protected]/[email protected]

Mob: +254 715 077 817/+250789621067

TAILOR- MADE

This training can also be customized to suit the needs of your institution upon request. You can have it delivered in our IRES Training Centre or at a convenient location.

For further inquiries, please contact us on Tel: +254 715 077 817/+250789621067

Mob: +254 792516000+254 792516010 , +250 789621067 ,or mail [email protected]/[email protected]

PAYMENT

Payment should be transferred to IRES account through bank on or before start of the course.

Send proof of payment to [email protected]/[email protected]


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