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
21-25 Apr 2025London - UK$5,950RESERVE A SEAT
02-06 Jun 2025Dubai - UAE$5,950RESERVE A SEAT
11-15 Aug 2025London - UK$5,950RESERVE A SEAT
03-07 Nov 2025Dubai - UAE$5,950RESERVE A SEAT
02-06 Feb 2026Dubai - UAE$5,950RESERVE A SEAT
Online sessions
DateVenueFee
16-20 Jun 2025Online$3,950RESERVE A SEAT
25-29 Aug 2025Online$3,950RESERVE A SEAT
27-31 Oct 2025Online$3,950RESERVE A SEAT

Training Course Overview

Effective and decisive decision-making is crucial for successful managers. Utilizing evidence-based information is a key factor in achieving this. Professionals can enhance their decision-making capabilities by acquiring skills in data analytics and quantitative reasoning.

The Data Analytics for Managerial Decision Making training course emphasizes the importance of data analytics in management decision-making. It provides a managerial perspective on leveraging data analytics to support strategic initiatives, inform policy development, and enhance operational decision-making. The course focuses on practical applications of data analytics in management, emphasizing the accurate interpretation of analytical findings.

Training Course Objectives

By attending this Anderson training course, delegates will be able to:

  • Understand the power of data analytics as a decision support tool in management
  • Critically assess the validity of statistically-generated business information
  • Understand the purpose of the different data analytic tools and which one/s to use in given management scenarios
  • Know how to meaningfully and validly interpret statistical evidence in a management context
  • Be in a position to communicate intelligently with data analytic professionals

Designed for

This Anderson training course is suitable for a wide range of middle and senior managers who have the responsibility of divisional and organisational success through their decision making. It is also suitable for consultants and professionals who support them. In particular:

  • HR managers
  • Marketing managers
  • Operations and logistics managers
  • Financial managers
  • Policy support personnel
  • Engineers / Technical Specialists

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.
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    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.

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