Data Mining and Analysis

INTRODUCTION

In order to make analysis and the right decisions or predictions, companies or institutions have to turn raw data from large data sets into useful information. Data mining entails the concepts, principles, methods and techniques one requires in finding anomalies, correlations and patterns in data sets in order to make sound decisions and predictions. Through data mining decisions and predictions are made from knowledge of raw data well analy

DURATION

10 days

WHO SHOULD ATTEND?

Data analysts, Research Associates, Data managers, Statisticians, Database developers and administrators, Business Engineers, Analytics Manager.

Anyone who works with big data or requires to handle big data in their professions can attend the course.

COURSE LEVEL:

Register for the course


Face to Face Schedules By Location
Nairobi Schedules:
Code Date Duration Location Fees
DMA021 20 Feb 2023 - 3 Mar 2023 10 days Nairobi, Kenya KES 150,000 | USD 2,200 Register
DMA021 20 Mar 2023 - 31 Mar 2023 10 days Nairobi, Kenya KES 150,000 | USD 2,200 Register
DMA021 17 Apr 2023 - 28 Apr 2023 10 days Nairobi, Kenya KES 150,000 | USD 2,200 Register
DMA021 15 May 2023 - 26 May 2023 10 days Nairobi, Kenya KES 150,000 | USD 2,200 Register
DMA021 19 Jun 2023 - 30 Jun 2023 10 days Nairobi, Kenya KES 150,000 | USD 2,200 Register
DMA021 17 Jul 2023 - 28 Jul 2023 10 days Nairobi, Kenya KES 150,000 | USD 2,200 Register
DMA021 21 Aug 2023 - 1 Sep 2023 10 days Nairobi, Kenya KES 150,000 | USD 2,200 Register
DMA021 18 Sep 2023 - 29 Sep 2023 10 days Nairobi, Kenya KES 150,000 | USD 2,200 Register
DMA021 16 Oct 2023 - 27 Oct 2023 10 days Nairobi, Kenya KES 150,000 | USD 2,200 Register
DMA021 20 Nov 2023 - 1 Dec 2023 10 days Nairobi, Kenya KES 150,000 | USD 2,200 Register
DMA021 11 Dec 2023 - 22 Dec 2023 10 days Nairobi, Kenya KES 150,000 | USD 2,200 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

  • Introduction to data mining
  • Concept of data mining
  • Acquiring knowledge from big data
  • Anomalies, patterns and correlation in data sets
  • Analyzing data sets
  • Data mining methods and techniques
  • Using knowledge gained from data sets

Course Outline

Module 1

  • Introduction to data mining
  • Information and knowledge
  • Large data
  • Anomalies, patterns and correlation in data sets
  • Data preprocessing

Module 2

  • Cross industry standard process (CRISP-DM)
  • Sample, Explore, modify, Model, Assess (SEMMA)
  • Online Analytical Processing (OLAP)

Module 3

  • Dependency modelling
  • Sequence modelling
  • data classification
  • data clustering
  • Data association
  • Data iteration

Module 4

  • Binning and smoothing
  • Aggregation of data
  • Normalization of data
  • Discretization of data

Module 5

  • Principle concept analysis
  • Sequential pattern analysis
  • T-distributed stochastic neighbor embedding
  • Word embedding

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]


DOWNLOADABLE DOCUMENTS:
No documents uploaded

Other people who have applied for the course


# Job Title Organisation Country
1 Data Analyst Ethics and Anti-Corruption Commission -Kenya Kenya
2 Data Analyst Ethics and Anti-Corruption Commission -Kenya Kenya
3 Senior ICT Officer Competition Authority of Kenya Kenya