Executive Programme in Data Science Course.

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We are proud to offer this course in a variety of training formats to suit your needs. We use the highest quality learning facilities to make sure your experience is as comfortable as possible. Our face to face calendar allows you to choose any classroom course of your choice to be delivered at any venue of your choice - offering you the ultimate in convenience and value for money.

July 2024

Code Date Duration Location Fee Action
EPD04 29 Jul 2024 - 2 Aug 2024 5 days Nairobi, Kenya KES 83,000 | $1,100 Register
EPD04 15 Jul 2024 - 19 Jul 2024 5 days Nakuru, Kenya KES 84,000 | $1,100 Register
EPD04 22 Jul 2024 - 26 Jul 2024 5 days Nairobi, Kenya KES 83,000 | $1,100 Register
EPD04 15 Jul 2024 - 19 Jul 2024 5 days Kampala, Uganda $1,900 Register
EPD04 15 Jul 2024 - 19 Jul 2024 5 days Accra, Ghana $2,400 Register
EPD04 22 Jul 2024 - 26 Jul 2024 5 days Johannesburg, South Africa $2,400 Register
EPD04 29 Jul 2024 - 2 Aug 2024 5 days Cape Town, South Africa $2,400 Register
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July 2024

29 Jul - 2 Aug
5 days
KES 83,000 | $1,100
15 Jul - 19 Jul
5 days
KES 84,000 | $1,100
22 Jul - 26 Jul
5 days
KES 83,000 | $1,100
15 Jul - 19 Jul
5 days
- | $1,900
15 Jul - 19 Jul
5 days
- | $2,400
22 Jul - 26 Jul
5 days
- | $2,400
29 Jul - 2 Aug
5 days
Cape Town
- | $2,400
I Want To See More Dates...
I Want To See More Dates...

Course Introduction

Executive program in data science is typically designed for business leaders, managers, and executives who want to gain a strategic understanding of data science concepts and applications without delving deeply into technical details. Such programs aim to equip participants with the knowledge and skills to effectively leverage data for informed decision-making and business strategy.


Course Level:

Course Objectives

Strategic Understanding:

  • Develop a high-level understanding of data science and its strategic impact on business operations and decision-making.

Business Integration:

  • Enable participants to integrate data science principles into business strategies and operations for enhanced efficiency and competitiveness.

Decision-Making Skills:

  • Equip executives with the skills to make informed, data-driven decisions and leverage analytics for strategic planning.

Leadership in Data-Driven Cultures:

  • Foster leadership skills in the context of implementing and leading data-driven initiatives within an organization.

Ethical Considerations:

  • Address ethical considerations and governance aspects related to data science, ensuring responsible and compliant use of data.

Industry Relevance:

  • Tailor the program content to be industry-specific, providing insights and examples relevant to the participants' sectors.

Application of Data Science Concepts:

  • Provide practical knowledge and examples of how data science concepts can be applied to solve real-world business problems.

Effective Communication:

  • Develop communication skills to effectively convey data-driven insights and outcomes to non-technical stakeholders.

Risk Management:

  • Understand how data science can be utilized in risk management, including identifying and mitigating potential challenges.

Course Modules

Module 1: Data Collection and Preparation

session: 1 Introduction to Data Science

  • Overview of Data Science and its applications.
  • Introduction to the Data Science lifecycle.
  • Basics of statistical analysis and hypothesis testing.

session: 2 Data Wrangling and Pre-processing

  • Data cleaning and handling missing values.
  • Data transformation and feature engineering.
  • Exploratory Data Analysis (EDA).
  • Introduction to data visualization with libraries like Matplotlib and Seaborn.

Module 2: Big Data and Database Management

session: 3 Big Data and Tools 

  • Introduction to big data concepts.
  • Apache Hadoop and Apache Spark overview.
  • Hands-on experience with processing big datasets.
  • Using PySpark for distributed computing

session: 4 Data Engineering and Database Management 

  • Relational and non-relational databases.
  • SQL and database design.
  • Building and querying databases.
  • Introduction to data warehouses and data lakes.

Module 3: Machine Learning

session: 5 Machine Learning Fundamentals 

  • Understanding supervised and unsupervised learning.
  • Classification and regression algorithms.
  • Model evaluation and selection.
  • Introduction to scikit-learn for machine learning in Python.

session: 6 Deep Learning  

  • Basics of neural networks.
  • Introduction to deep learning frameworks (TensorFlow, PyTorch).
  • Building and training neural networks.
  • Application of deep learning in real-world scenarios.

session: 7 Deployment and Productionization

  • Model deployment strategies.
  • Building APIs for machine learning models.
  • Docker containers for reproducibility.
  • Monitoring and maintaining deployed models.


  • NoSQL
  • Tableau
  • R
  • Python
  • Excel

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Course Administration Details:


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.


Upon successful completion of this training, participants will be issued with an Indepth Research Institute (IRES) certificate.


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

Email:[email protected].  

Mob: +254 715 077 817

Tel: 020 211 3814


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 center or at a convenient location.

For further inquiries, please contact us on Tel: +254 715 077 817, +254 (020) 211 3814 or mail [email protected]


Payment should be transferred to IRES account through bank before the course start date.

Send proof of payment to [email protected]


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