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Data Analytics for Managerial Decision Making

INTRODUCTION

Data analytics have been touted as the most important technology which will bring organizations move to their next frontier. Many success stories have been shared on how data analytics can help organizations make better decisions, including understanding their customers better, predicting outcomes, understanding public sentiments on the social media, and optimizing resources to achieve the best results.

Managers who are leading their organizations have to play the lead role in shaping the direction and planning the strategies on who, what, when, where and how should data analytics be applied in the different parts of the organization.

The proposed training is designed for managers covering several topics in the Data Analytics area. The training will be conducted by the senior faculty members from the School of Information Systems, who are experts in their respective areas.

DURATION

2 days.

COURSE OUTLINE

Quick overview of Data Analytics

  • Demystifying Data Analytics
  • Data Analytics Methods: Statistical Learning, Data Mining & machine Learning
  • Big Data

Solution process flow to solve data analytics problems

  • Data Analytics Lifecycle
  • Data Analytics Technologies: Commercial off-the-shelf (COTS) vs open source

Data Manipulation and Visualization

  • Data exploration
  • Data cleaning and manipulation
  • Data merging, joining
  • Data visualization

Data Analytics Techniques

  • Supervised learning (1 hands-on + mention a few)
  • Unsupervised learning (1 hands-on + mention a few)
  • Pros and cons of each technique
  • Select the best technique
  • Train, test and validate model
  • Results assessment and interpretation

Social Network Analysis

  • Extract information and interpretation

Text Mining

  • Text pre-processing
  • Text classification
  • Text clustering (including topic modelling)
  • Sentiment analysis

Operations – Optimization

  • Optimization theory
  • LP, IP, MIP, BIP
  • Model formulation
  • Solver definition
  • Heuristic algorithm

REQUIREMENTS

Participants should be reasonably proficient in English. Applicants must live up to Indepth Research Services (IRES) admission criteria.

METHODOLOGY

The instructor led trainings are delivered using a blended learning approach and comprises 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 Services (IRES) certificate.

TRAINING VENUE

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

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

ACCOMMODATION

Accommodation is arranged upon request. For reservations contact the Training Officer.

Email:This email address is being protected from spambots. You need JavaScript enabled to view it..  

Mob: +254 715 077 817

Tel: 020 211 3814

TAILOR- MADE

This training can also be customized for your institution upon request to a minimum of 4 participants. You can have it delivered in our training centre or at a convenient location.

For further inquiries, please contact us on Tel: +254 715 077 817, +254 (020) 211 3814 or mail This email address is being protected from spambots. You need JavaScript enabled to view it.

PAYMENT

Payment should be transferred to IRES account through bank on or before 13th May 2019.

Send proof of payment to This email address is being protected from spambots. You need JavaScript enabled to view it.

CANCELLATION POLICY

Payment for the all courses includes a registration fee, which is non-refundable, and equals 15% of the total sum of the course fee.

1.    Participants may cancel attendance 14 days or more prior to the training commencement date.

2.    No refunds will be made 14 days or less to the training commencement date. However, participants who are unable to attend may opt to attend a similar training at a later date, or send a substitute participant provided the participation criteria have been met.

Please Note: The program content shown here is for guidance purposes only. Our continuous course improvement process may lead to changes in topics and course structure.

Event Properties

Event Duration 2 Days
Event Date 20-05-2019
Event End Date 21-05-2019
Cut off date 13-05-2019
Individual Price(Kenyan) KES 30,000
Individual Price (International) EUR 404
Individual Price(International in Dollars) USD 440
Location Nairobi, Kenya
We are no longer accepting registration for this event
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Contact Us

+254 715077817 | +254 792516000
outreach@indepthresearch.org
Westlands, Rhapta Road
Njema Court, Suite R2

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