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An Intensive Professional
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Data Analytics for Managerial Decision Making

Strengthening Management Decision Making
through Enhanced Information Quality

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Why Choose Us

Data Analytics for Managerial Decision Making Training Course equips managers and professionals with the tools to leverage data for informed, evidence-based decisions. In today’s fast-paced business environment, managers must rely on accurate information to drive strategic initiatives, improve operational efficiency, and enhance organizational performance. This training course focuses on the practical application of data analytics, helping participants interpret quantitative insights and integrate them into everyday decision-making.

Participants will gain hands-on experience in analyzing data, interpreting statistical results, and applying these insights to management challenges. The course emphasizes the importance of data quality, critical evaluation of evidence, and translating analytical outputs into actionable strategies.

By the end of this course, delegates will develop confidence in using data analytics as a management support tool. They will be able to turn raw data into meaningful insights, strengthen the decision-making process, and make evidence-driven choices that improve business outcomes. Whether you are a manager, analyst, or professional seeking to enhance your analytical skills, this training course provides the essential skills to leverage data for effective decision making.

Why Choose Data Analytics for Managerial Decision Making
Course Goals

What are the Goals?

By completing this Data Analytics for Managerial Decision Making Training Course, participants will be able to:

  • Understand the role of data analytics in supporting managerial decisions.
  • Recognize the scope, structure, and value of data analytics in management.
  • Apply various data analytics techniques to real-world business problems.
  • Interpret and critically evaluate statistical evidence to inform decisions.
  • Identify opportunities to use data analytics in their specific work environment.
  • Integrate statistical thinking into daily management practices for evidence-based decision making.

This training course ensures that participants leave with practical skills and confidence to transform data into actionable insights that strengthen managerial effectiveness.

Who is this Training Course for?

This Data Analytics for Managerial Decision-Making Training Course is ideal for professionals looking to enhance their decision-making through data-driven insights. It is particularly beneficial for:

  • Managers and supervisors in support roles seeking better decision-making tools.
  • Analysts who regularly work with data and require practical application skills.
  • Professionals aiming to integrate data analytics into management decisions.
  • Any individual responsible for interpreting data to improve operational or strategic outcomes.
Learning Approach

How will this Training Course be Presented?

This Data Analytics for Managerial Decision Making Training Course is designed to maximize learning through interactive and practical methods. Participants engage in hands-on exercises, workshops, and real-life applications using Microsoft Excel, making learning immediately relevant.

  • Interactive discussions to explore applications of data analytics in management.
  • Hands-on exercises with participants’ own work data to reinforce learning.
  • Workshops focused on statistical interpretation, data visualization, and predictive modeling.
  • Practical examples and case studies to demonstrate real-world analytics applications.

Through active participation and structured exercises, delegates gain both theoretical understanding and practical skills. By the end of the course, participants can confidently use data analytics to support evidence-based managerial decisions.

The Course Content

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

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

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

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

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
Recognition

Certificate

  • • Wallstreet Development Academy Certificate of Completion for delegates who attend and complete the training course.
Collaborations

In Partnership With

Anderson Copex Coventry