Data Analytics Training on Managerial Decision Making

INTRODUCTION

Data analytics have been touted as the most important technology that will bring organizations to 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 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

5 days.

COURSE LEVEL: Intermediate

Register for the course

Face to Face Schedules By Location

Dubai Schedules:

Arusha Schedules:

Johannesburg Schedules:

Kampala Schedules:

Pretoria Schedules:

Cape Town Schedules:

Dar es Salaam Schedules:

Zanzibar Schedules:

Accra Schedules:

Nairobi Schedules:

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 at [email protected] for a virtual schedule.

E-Learning

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

• The course aims to provide a clear understanding of the role of data analytics in managerial decision-making.
• Students will develop skills in data collection and preparation, including data cleaning and transformation techniques.
• The course covers various data analysis techniques such as descriptive analytics, inferential statistics, predictive modeling, and data visualization.
• Emphasis is placed on interpreting and effectively communicating data analysis results to support decision-making processes.
• Real-world scenarios are used to apply data analytics knowledge and skills, including case studies and projects.
• The course aims to develop critical thinking and problem-solving skills through the analysis of complex business problems.
• By the end of the course, students should be able to apply data analytics to support informed managerial decision-making.

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 the 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

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 the 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] or [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 to our IRES Training Centre or at a convenient location.

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

Email [email protected] or [email protected]

PAYMENT

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

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