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A highly interactive training course on

Data Analytics for Managerial Decision Making

Strengthening Management Decision Making
through Enhanced Information Quality
Coventry Academy - Data Analytics for Managerial Decision Making
5
Days

Course Schedules

 Dubai
 03-07 Feb 2025
 $5,950
 London
 21-25 Apr 2025
 $5,950
 Dubai
 02-06 Jun 2025
 $5,950
 London
 11-15 Aug 2025
 $5,950
 Dubai
 03-07 Nov 2025
 $5,950

Training course overview

This interactive training course emphasizes the value of data analytics as a decision support tool in management. It demonstrates how data analytics can enhance strategic initiatives, inform policy decisions, and guide operational choices. The course focuses on practical applications of data analytics in management, emphasizing valid interpretations of findings and integrating quantitative reasoning into decision-making processes. Participants will gain confidence in using evidence-based information to support their management decisions.

Course Features:

  • Discussions on the applications of data analytics in management
  • Importance of data in analytics
  • Practical application of analytical methods through worked examples
  • Focus on interpreting statistical evidence for management
  • Strategies for integrating statistical thinking into the workplace

What are the goals?

By the end of this training course, participants will be able to:

  • Appreciate data analytics in a decision support role
  • Explain the scope and structure of data analytics
  • Apply a cross-section of useful data analytics
  • Interpret meaningfully and critically assess statistical evidence
  • Identify relevant applications of data analytics in practice

Who is this training course for?

This training course is suitable to a wide range of professionals but will greatly benefit:

  • Professionals in management support roles
  • Analysts who typically encounter data / analytical information regularly in their work environment
  • Those who seek to derive greater decision making value from data analytics

How will this training course be presented?

This training course will utilise a variety of proven adult learning techniques to ensure maximum understanding, comprehension and retention of the information presented. The daily workshops will be highly interactive and participative. This involves regular discussion of applications as well as hands-on exposure to data analytics techniques using Microsoft Excel. Delegates are strongly encouraged to bring and analyse data from their own work domain. This adds greater relevancy to the content. Emphasis is also placed on the valid interpretation of statistical evidence in a management context.

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

  • Coventry Academy Certificate of Attendance will be provided to delegates who attend and complete the course.

Coventry Academy
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