Effective Business Decisions Using Data Analysis

Effective Business Decisions Using Data Analysis


Choose from the following table the course date which you would like to attend the course on :

Sart
End
Fees
Venue
Length
11-Mar-2018
15-Mar-2018
7500$
Istanbul (Turkey)
One Week
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4-Mar-2018
8-Mar-2018
4700$
Dubai (UAE)
One Week
Click Here
11-Mar-2018
15-Mar-2018
6950$
Paris (France)
One Week
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22-Apr-2018
26-Apr-2018
4700$
Kuala Lumpur (Malaysia)
One Week
Click Here
15-Apr-2018
19-Apr-2018
5700$
London (UK)
One Week
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6-May-2018
10-May-2018
7500$
Istanbul (Turkey)
One Week
Click Here
27-May-2018
31-May-2018
4700$
Dubai (UAE)
One Week
Click Here
6-May-2018
10-May-2018
6950$
Paris (France)
One Week
Click Here
17-Jun-2018
21-Jun-2018
4700$
Kuala Lumpur (Malaysia)
One Week
Click Here
10-Jun-2018
14-Jun-2018
5700$
London (UK)
One Week
Click Here
8-Jul-2018
12-Jul-2018
7500$
Istanbul (Turkey)
One Week
Click Here
15-Jul-2018
19-Jul-2018
4700$
Dubai (UAE)
One Week
Click Here
8-Jul-2018
12-Jul-2018
6950$
Paris (France)
One Week
Click Here
26-Aug-2018
30-Aug-2018
4700$
Kuala Lumpur (Malaysia)
One Week
Click Here
5-Aug-2018
9-Aug-2018
5700$
London (UK)
One Week
Click Here
2-Sep-2018
6-Sep-2018
7500$
Istanbul (Turkey)
One Week
Click Here
9-Sep-2018
13-Sep-2018
4700$
Dubai (UAE)
One Week
Click Here
2-Sep-2018
6-Sep-2018
6950$
Paris (France)
One Week
Click Here
21-Oct-2018
25-Oct-2018
4700$
Kuala Lumpur (Malaysia)
One Week
Click Here
28-Oct-2018
1-Nov-2018
5700$
London (UK)
One Week
Click Here
25-Nov-2018
29-Nov-2018
7500$
Istanbul (Turkey)
One Week
Click Here
4-Nov-2018
8-Nov-2018
4700$
Dubai (UAE)
One Week
Click Here
25-Nov-2018
29-Nov-2018
4700$
Kuala Lumpur (Malaysia)
One Week
Click Here
9-Dec-2018
13-Dec-2018
4700$
Kuala Lumpur (Malaysia)
One Week
Click Here
16-Dec-2018
20-Dec-2018
5700$
London (UK)
One Week
Click Here
20-Jan-2019
24-Jan-2019
7500$
Istanbul (Turkey)
One Week
Click Here
13-Jan-2019
17-Jan-2019
4700$
Dubai (UAE)
One Week
Click Here
20-Jan-2019
24-Jan-2019
6950$
Paris (France)
One Week
Click Here
3-Feb-2019
7-Feb-2019
4700$
Kuala Lumpur (Malaysia)
One Week
Click Here
24-Feb-2019
28-Feb-2019
5700$
London (UK)
One Week
Click Here

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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