/  Effective Business Decisions Using Data Analysis Training

Effective Business Decisions Using Data Analysis Training

BMC Training provides a training course in Effective Business Decisions Using Data Analysis in Management and Leadership

Course Title
Venue
Start Date
End Date
  • Kuala Lumpur
    14 - 10 - 2018
    18 - 10 - 2018
  • Istanbul
    7 - 10 - 2018
    11 - 10 - 2018
  • Muscat
    14 - 10 - 2018
    18 - 10 - 2018
  • London
    18 - 11 - 2018
    22 - 11 - 2018
  • Dubai
    25 - 11 - 2018
    29 - 11 - 2018
  • Paris
    18 - 11 - 2018
    22 - 11 - 2018
  • Kuala Lumpur
    2 - 12 - 2018
    6 - 12 - 2018
  • Istanbul
    23 - 12 - 2018
    27 - 12 - 2018
  • Muscat
    2 - 12 - 2018
    6 - 12 - 2018
  • London
    27 - 1 - 2019
    31 - 1 - 2019
  • Dubai
    6 - 1 - 2019
    10 - 1 - 2019
  • Paris
    27 - 1 - 2019
    31 - 1 - 2019
  • Kuala Lumpur
    10 - 2 - 2019
    14 - 2 - 2019
  • Istanbul
    3 - 2 - 2019
    7 - 2 - 2019
  • Muscat
    10 - 2 - 2019
    14 - 2 - 2019
  • London
    17 - 3 - 2019
    21 - 3 - 2019
  • Dubai
    24 - 3 - 2019
    28 - 3 - 2019
  • Paris
    17 - 3 - 2019
    21 - 3 - 2019
  • Kuala Lumpur
    7 - 4 - 2019
    11 - 4 - 2019
  • Istanbul
    28 - 4 - 2019
    2 - 5 - 2019
  • Muscat
    7 - 4 - 2019
    11 - 4 - 2019
  • London
    12 - 5 - 2019
    16 - 5 - 2019
  • Dubai
    19 - 5 - 2019
    23 - 5 - 2019
  • Paris
    12 - 5 - 2019
    16 - 5 - 2019
  • Kuala Lumpur
    23 - 6 - 2019
    27 - 6 - 2019
  • Istanbul
    2 - 6 - 2019
    6 - 6 - 2019
  • Muscat
    23 - 6 - 2019
    27 - 6 - 2019
  • London
    7 - 7 - 2019
    11 - 7 - 2019
  • Dubai
    28 - 7 - 2019
    1 - 8 - 2019
  • Paris
    7 - 7 - 2019
    11 - 7 - 2019
  • Kuala Lumpur
    18 - 8 - 2019
    22 - 8 - 2019
  • Istanbul
    11 - 8 - 2019
    15 - 8 - 2019
  • Muscat
    18 - 8 - 2019
    22 - 8 - 2019
  • London
    22 - 9 - 2019
    26 - 9 - 2019
  • Dubai
    1 - 9 - 2019
    5 - 9 - 2019
  • Paris
    22 - 9 - 2019
    26 - 9 - 2019

Introduction

This interactive, applications-driven 5-day course will highlight the added value that data analytics can offer a professional as a decision support tool in management decision making. It will show the use of data analytics to support strategic initiatives; to inform on policy information; and to direct operational decision making. The course will emphasize applications of data analytics in management practice; focus on the valid interpretation of data analytics findings; and create a clearer understanding of how to integrate quantitative reasoning into management decision making. Exposure to the discipline of data analytics will ultimately promote greater confidence in the use of evidence-based information to support management decision making.

This course will feature:

  • Discussions on applications of data analytics in management
  • The importance of data in data analytics
  • Applying data analytical methods through worked examples
  • Focusing on management interpretation of statistical evidence
  • How to integrate statistical thinking into the work domain

objectives

By the end of this 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.

Contents

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

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