Multimatics

Academy | Syllabus

Data Science: Empowering Leaders with Data-Driven Insights

The Data Science: Empowering Leaders with Data-Driven Insights training program by Skills of the Future (SOTF) Multimatics equips executives and managers with a foundational yet strategic understanding of data science — enabling them to collaborate effectively with data teams, interpret insights confidently, and embed data-driven decision-making into their organizational culture. No coding required; the focus is on leadership, interpretation, and the ethical, responsible use of data.

Register Now

Trusted by OrganizationsProven by Professionals

+21

Years of Experiences

+6.000

Delivered Training Programs

+50.000

Professionals

90%

Exam Pass Rate

Program Details

Durations

This program is a 5-day intensive training class.

Method of Delivery

The program provided by Multimatics will be delivered through interactive presentation by professional instructor(s), group debriefs, individual and team exercises, behavior modelling and roleplays, one-to-one and group discussion, case studies, and projects.

Who Should Attend?

  • Senior leaders and executives across all industries
  • Managers overseeing data or analytics teams
  • Business decision-makers seeking data fluency
  • Non-technical professionals who work alongside data science teams

Program Objectives

By the end of the program, participants will be able to:

  • Understand fundamental data science concepts and terminology
  • Identify valuable data sources and recognize data quality issues
  • Comprehend the data science lifecycle from problem to deployment
  • Interpret data visualizations and communicate insights effectively
  • Ask the right questions and collaborate with data science teams
  • Evaluate bias, limitations, and ethical implications of data and models
  • Foster a data-driven culture across teams and organizations

Examination Details

Duration

5 Days

Format

    Open BookClose Book

Level

Intermediate

Passing Grade

65%

Program Modules

Introduction to Data Science for Leaders

Topic Covered

  • Why Data Science Matters for Leadership
  • The Rise of Big Data and Analytics
  • Data-Driven Decision Making: Benefits and Examples
  • The Role of Leaders in a Data-Centric Organization
  • Core Concepts and Terminology
  • Data Types (Structured, Unstructured)
  • Basic Statistical Concepts (Mean, Median, Mode, Standard Deviation)
  • Introduction to Machine Learning and Artificial Intelligence (AI)
  • Key Roles: Data Scientists, Data Analysts, Data Engineers
  • The Data Science Lifecycle
  • Problem Definition
  • Data Collection and Preparation
  • Exploratory Data Analysis (EDA)
  • Model Building and Evaluation
  • Deployment and Monitoring