Training on Data Analytics for Managerial Decision Making Course

About the course

Data analytics have been touted as the most important technology which 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.

Course duration

5 Days

Course Outline:

Module 1: Quick overview of Data Analytics

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

Module 2: Solution process flow to solve data analytics problems

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

Module 3: Data Manipulation and Visualization

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

Module 4: 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

Module 5: 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

Methodology

This instructor led training course is 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 a certificate of participation.

Training Venue

The training is residential and will be held at the Livecode Training Centre in Westlands, Nairobi, Kenya. 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.

Mobile Number: +254 725 771 853

Training Fees

The course fees is KES 65,000.00 or USD 700.00 exclusive of VAT. The course fees covers the course tuition, training materials, two (2) break refreshments, lunch and study visits. Participants will cater for their travel and accommodation costs.

Payment

Payment should be transferred to Livecode Technologies account through bank on or before the course starting date. 

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.

Tailor- Made

This scheduled course can also be tailored for your organization. To find out how our tailor-made training can help your organization, call our team on

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.