Data Analytics for Managerial Decision Making

An Intensive 5-day Training Course

Data Analytics for
Managerial Decision Making

Strengthening Management Decision Making through Enhanced Information Quality

UPCOMING SESSIONS

Classroom sessions
DateVenueFee
20-24 Apr 2026London - UK$5,950RESERVE A SEAT
01-05 Jun 2026Dubai - UAE$5,950RESERVE A SEAT
10-14 Aug 2026London - UK$5,950RESERVE A SEAT
02-06 Nov 2026Dubai - UAE$5,950RESERVE A SEAT
01-05 Feb 2027Dubai - UAE$5,950RESERVE A SEAT
19-23 Apr 2027London - UK$5,950RESERVE A SEAT
31 May-04 Jun 2027Dubai - UAE$5,950RESERVE A SEAT
09-13 Aug 2027London - UK$5,950RESERVE A SEAT
01-05 Nov 2027Dubai - UAE$5,950RESERVE A SEAT

Training Course Overview

Data Analytics for Managerial Decision Making training course equips managers with the skills to leverage data for strategic and operational decisions. Managers increasingly rely on evidence-based insights to navigate complex business challenges. This course provides a practical understanding of data analytics from a managerial perspective, focusing on interpreting, analyzing, and applying statistical information to real-world scenarios.

Participants will gain hands-on experience with tools and techniques for analyzing data, uncovering patterns, and supporting decision-making. Emphasis is placed on accurate interpretation of analytical findings, ensuring managers can confidently translate data into actionable insights. By the end of this training course, delegates will be able to integrate data analytics into daily managerial processes, enhance operational efficiency, and improve organizational outcomes.

Training Course Objectives

Attending this Data Analytics for Managerial Decision Making training course will enable delegates to apply data-driven techniques effectively in managerial contexts. Participants will learn how to critically evaluate statistical data and use analytics tools to support informed decisions.

  • Recognize the power of data analytics as a decision-support tool in management
  • Assess the reliability and validity of statistically-generated business information
  • Identify appropriate data analytic tools for various management scenarios
  • Interpret statistical evidence meaningfully and accurately in decision-making
  • Communicate effectively with data analytics professionals and teams

Designed for

This Data Analytics Training Course is ideal for managers and professionals responsible for driving organizational performance through informed decisions. It also suits consultants and support personnel involved in business strategy and operational improvements.

  • HR Managers overseeing workforce analytics and performance metrics
  • Marketing Managers analyzing customer insights and campaign results
  • Operations and Logistics Managers optimizing processes and efficiency
  • Financial Managers interpreting financial data for strategic planning
  • Policy Support Personnel contributing to data-driven policy decisions
  • Engineers and Technical Specialists using analytics in project management

Learning Methods

The course combines interactive lectures, practical exercises, and case studies to strengthen managerial decision-making skills through data analytics. Participants will engage in hands-on data analysis using tools like Excel and explore real-world scenarios to develop evidence-based insights.

Practical exercises cover data preparation, exploratory data analysis, and interpretation of statistical outputs. Delegates will also practice predictive modeling, regression analysis, and data mining techniques applicable to business contexts. By integrating experiential learning with theoretical concepts, this training course ensures participants develop both analytical capabilities and decision-making confidence.

The Course Outline

Day One: Setting the Statistical Scene in Management
  • Introduction; The quantitative landscape in management
  • Thinking statistically about applications in management (identifying KPIs)
  • The integrative elements of data analytics
  • Data: The raw material of data analytics (types, quality and data preparation)
  • Exploratory data analysis using excel (pivot tables)
  • Using summary tables and visual displays to profile sample data
Day Two: Evidence-based Observational Decision Making
  • Numeric descriptors to profile numeric sample data
  • Central and non-central location measures
  • Quantifying dispersion in sample data
  • Examine the distribution of numeric measures (skewness and bimodal)
  • Exploring relationships between numeric descriptors
  • Breakdown analysis of numeric measures
Day Three: Statistical Decision Making – Drawing Inferences from Sample Data
  • The foundations of statistical inference
  • Quantifying uncertainty in data – the normal probability distribution
  • The importance of sampling in inferential analysis
  • Sampling methods (random-based sampling techniques)
  • Understanding the sampling distribution concept
  • Confidence interval estimation
Day Four: Statistical Decision Making – Drawing Inferences from Hypotheses Testing
  • The rationale of hypotheses testing
  • The hypothesis testing process and types of errors
  • Single population tests (tests for a single mean)
  • Two independent population tests of means
  • Matched pairs test scenarios
  • Comparing means across multiple populations
Day Five: Predictive Decision Making - Statistical Modeling and Data Mining
  • Exploiting statistical relationships to build prediction-based models
  • Model building using regression analysis
  • Model building process – the rationale and evaluation of regression models
  • Data mining overview – its evolution
  • Descriptive data mining – applications in management
  • Predictive (goal-directed) data mining – management applications

The Certificate

  • Anderson Certificate of Completion will be provided to delegates who attend and complete the course.

In Association With

Aztech
Copex
Coventry
Course Enquiry

    Do you want this training to be held on your premises?
    Learn more about our In-house solutions
    FREQUENTLY ASKED QUESTIONS

    Learn More About
    this course

    How can I register for a training course?

    There are several convenient ways to register for our training programs:

    • Online: Explore our training calendar, choose the course that suits your needs, and click the “Register Now” button on the course details page.
    • Email: Share your details, including your name, organization, email address, and selected course, by sending an email to  [email protected]
    • Phone: Reach out to us directly at +971 4 273 3503, and our team will guide you through the registration process.

    When will I receive confirmation of my registration?

    Once your registration is successfully completed, you will receive a confirmation email within 24 hours. This email will contain your registration details, invoice, and the necessary joining instructions for the course.

    What does the training fee cover?

    The training fees include full access to the training venue, along with comprehensive training materials to enhance your learning experience. Additionally, participants will be provided with writing supplies and stationery. To ensure comfort and convenience, the fee also covers lunch and refreshing coffee breaks throughout the duration of the course.

    Where are your training courses held?

    Our training programs are hosted at luxurious five-star hotels in prestigious destinations across the globe. Some of our popular locations include Dubai, London, Kuala Lumpur, Amsterdam, New York, Paris, Vienna, and many other iconic cities.

    Can I request customized corporate training?

    Yes, we offer tailored corporate training solutions to meet your organization’s specific needs. Please contact us at [email protected] or call +971 4 273 3503 for more information.

    Still have questions?
    Can’t find the what you are looking for? Contact us and we’ll be happy to assist you.
    Enhance Your Skills

    RELATED COURSES

    STAY UP TO DATE

    SIGN UP FOR OUR NEWSLETTER

    Anderson
    Chat with an assistant

    Florence
    Hello there
    how can I assist you?
    1:40
    ×