Data Analytics for Managerial Decision Making Training Course

Data Analytics for Managerial Decision Making Training Course

Intermediate | 5 days | Face to Face / Online / Elearning | Certificate
01

Course Overview

Course Summary
Course Title Data Analytics for Managerial Decision Making Training Course
Organization Tech For Development (T4D)
Venue Tech For Development (T4D) Training Centre
Duration 5 days
Target Industries
Target Job Roles
Course Fees (Face-to-Face) USD 1,500/KES 99,000 (Exclusive of VAT)
Course Fees (Virtual) USD 1,000/KES 70,000 (Exclusive of VAT)
Training Modes Virtual and face-to-face training
Payment Payment should be made to the Tech For Development (T4D) bank account on or before the start of the course
Accreditation Tech For Development Certificate of Course Completion

Course Overview

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.

Duration

5 days

Target Audience

  • Business Managers and Executives
  • Data Analysts and Business Intelligence Professionals
  • Marketing and Sales Managers
  • Operations Managers
  • Financial Analysts
  • Project Managers
  • HR Managers
  • Entrepreneurs and Startups
  • Management Consultants

Organizational Impact

  • Improved decision-making capabilities across departments
  • Enhanced ability to use data to solve complex business problems
  • Greater alignment of strategic decisions with organizational goals
  • Increased efficiency and effectiveness in data management and analysis

Personal Impact

  • Enhanced skills in data analysis and interpretation
  • Greater confidence in making data-driven decisions
  • Improved ability to communicate insights and recommendations to stakeholders
  • Increased career opportunities and professional growth in data analytics

Course Objectives

  • Understand the fundamental concepts and methodologies of data analytics
  • Apply statistical techniques to analyze business data
  • Develop skills in using analytical tools for data visualization and interpretation
  • Translate data insights into strategic recommendations for managerial decisions
  • Implement best practices for data-driven decision-making in real-world scenarios
02

Course Modules

Course Outline

Module 1: Introduction to Data Analytics

  • Overview of data analytics concepts and methodologies
  • Types of data and data sources
  • Basic statistical principles for analysis
  • Case Study: Analyzing customer satisfaction survey data to identify trends and insights

Module 2: Data Preparation and Cleaning

  • Techniques for data collection and cleaning
  • Handling missing and inconsistent data
  • Data transformation and normalization
  • Case Study: Cleaning and preparing sales data for analysis to identify key performance indicators

Module 3: Exploratory Data Analysis (EDA)

  • Techniques for exploring and summarizing data
  • Using descriptive statistics and data visualization
  • Identifying patterns and relationships in data
  • Case Study: Performing exploratory analysis on financial data to uncover hidden patterns

Module 4: Advanced Analytical Techniques

  • Introduction to regression analysis and predictive modeling
  • Understanding correlations and causations
  • Using advanced analytics for forecasting and trend analysis
  • Case Study: Building a predictive model to forecast sales performance and evaluate business impact

Module 5: Data-Driven Decision Making and Implementation

  • Translating data insights into actionable recommendations
  • Communicating findings effectively to stakeholders
  • Implementing data-driven strategies and measuring their impact
  • Case Study: Developing and presenting a data-driven marketing strategy based on customer analytics
03

Course Administration

Methodology

Instructor-led sessions use a blended learning approach combining presentations, guided practical exercises, web-based tutorials, and group work, delivered by seasoned industry experts. All facilitation and course materials are in English, so participants should be reasonably proficient in the language.

Accreditation

Upon successful completion of this training, participants will be issued a Tech For Development Certificate of Course Completion

Training Venue

The training will be held at the Tech For Development Training Centre. The course fee covers the course tuition, training materials, two break refreshments, and lunch. All participants will additionally cater to their travel expenses, visa application, insurance, and other personal expenses.

Accommodation & Airport Transfer

Arranged upon request.For reservations contact the Training Officer:
Email: letstalk@techfordevelopment.com
Phone: (+254) 790 824 179

Tailor-Made

This training can also be customized to suit the needs of your institution upon request. You can have it delivered in our T4D Training Centre or at a convenient location.

Payment

Payment should be transferred to the T4D account through a bank on or before the start of the course. Send proof of payment to letstalk@techfordevelopment.com.

Course Reviews

Based on 0 participant feedback

No reviews yet for this course. Be the first to share your experience!

Write a Course Review

Please share your honest feedback below.

5 / 5 (Excellent)
Date Cost
2026 Schedules
Nairobi
16 Nov - 20 Nov
KES 99,000 |
$1,500
Register
14 Dec - 18 Dec
KES 99,000 |
$1,500
Register
Johannesberg
Mombasa
Kigali
Addis Ababa
Kuala Lumpur
Accra
Cairo
Cape Town
Pretoria
Dar es Salaam
Naivasha
Kisumu
Arusha
Machakos
Nakuru
Kampala
Dubai
Zanzibar
2027 Schedules
Dar es Salaam
18 Jan - 22 Jan

$2,100
Register
15 Feb - 19 Feb

$2,100
Register
15 Mar - 19 Mar

$2,100
Register
19 Apr - 23 Apr

$2,100
Register
17 May - 21 May

$2,100
Register
21 Jun - 25 Jun

$2,100
Register
19 Jul - 23 Jul

$2,100
Register
16 Aug - 20 Aug

$2,100
Register
20 Sep - 24 Sep

$2,100
Register
11 Oct - 15 Oct

$2,100
Register
15 Nov - 19 Nov

$2,100
Register
20 Dec - 24 Dec

$2,100
Register
Kigali
Addis Ababa
Kuala Lumpur
Accra
Cairo
Pretoria
Cape Town
Johannesberg
Zanzibar
Arusha
Kisumu
Dubai
Mombasa
Nairobi
Nakuru
Machakos
Naivasha
Kampala