Effective Business Decisions Using Data Analysis Training
BMC Training provides a training course in Effective Business Decisions Using Data Analysis in Management and Leadership
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Istanbul28 - 2 - 20214 - 3 - 2021
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London21 - 3 - 202125 - 3 - 2021
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Dubai14 - 3 - 202118 - 3 - 2021
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Paris14 - 3 - 202118 - 3 - 2021
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Kuala Lumpur7 - 3 - 202111 - 3 - 2021
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Istanbul28 - 3 - 20211 - 4 - 2021
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Dubai28 - 3 - 20211 - 4 - 2021
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Paris28 - 3 - 20211 - 4 - 2021
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Istanbul25 - 4 - 202129 - 4 - 2021
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London9 - 5 - 202113 - 5 - 2021
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Paris2 - 5 - 20216 - 5 - 2021
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Kuala Lumpur16 - 5 - 202120 - 5 - 2021
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Istanbul23 - 5 - 202127 - 5 - 2021
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Dubai23 - 5 - 202127 - 5 - 2021
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Paris23 - 5 - 202127 - 5 - 2021
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Istanbul13 - 6 - 202117 - 6 - 2021
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Kuala Lumpur20 - 6 - 202124 - 6 - 2021
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Dubai27 - 6 - 20211 - 7 - 2021
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Paris27 - 6 - 20211 - 7 - 2021
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London6 - 6 - 202110 - 6 - 2021
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London4 - 7 - 20218 - 7 - 2021
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Dubai11 - 7 - 202115 - 7 - 2021
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Paris11 - 7 - 202115 - 7 - 2021
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Dubai18 - 7 - 202122 - 7 - 2021
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Paris18 - 7 - 202122 - 7 - 2021
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Istanbul25 - 7 - 202129 - 7 - 2021
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Dubai25 - 7 - 202129 - 7 - 2021
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Paris25 - 7 - 202129 - 7 - 2021
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Istanbul1 - 8 - 20215 - 8 - 2021
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Kuala Lumpur8 - 8 - 202112 - 8 - 2021
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Dubai15 - 8 - 202119 - 8 - 2021
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Paris15 - 8 - 202119 - 8 - 2021
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London22 - 8 - 202126 - 8 - 2021
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London26 - 9 - 202130 - 9 - 2021
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Dubai5 - 9 - 20219 - 9 - 2021
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Paris5 - 9 - 20219 - 9 - 2021
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Kuala Lumpur12 - 9 - 202116 - 9 - 2021
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Istanbul19 - 9 - 202123 - 9 - 2021
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Dubai19 - 9 - 202123 - 9 - 2021
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Paris19 - 9 - 202123 - 9 - 2021
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Istanbul17 - 10 - 202121 - 10 - 2021
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Kuala Lumpur24 - 10 - 202128 - 10 - 2021
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Dubai3 - 10 - 20217 - 10 - 2021
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Paris3 - 10 - 20217 - 10 - 2021
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London10 - 10 - 202114 - 10 - 2021
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London21 - 11 - 202125 - 11 - 2021
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Kuala Lumpur7 - 11 - 202111 - 11 - 2021
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Istanbul14 - 11 - 202118 - 11 - 2021
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Dubai14 - 11 - 202118 - 11 - 2021
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Paris14 - 11 - 202118 - 11 - 2021
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Istanbul19 - 12 - 202123 - 12 - 2021
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Kuala Lumpur26 - 12 - 202130 - 12 - 2021
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Dubai12 - 12 - 202116 - 12 - 2021
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Paris12 - 12 - 202116 - 12 - 2021
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London5 - 12 - 20219 - 12 - 2021
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
Courses Search
Traning Categories
- Management and Leadership
- Finance , Accounting and Budgeting
- Human Resource Management
- Project , Procurement and Contracts
- Secretarial and Administration
- PR , Customer Services , Sales and Marketing
- Quality and Productivity
- Maintenance Engineering Training
- Oil and Gas Training
- Warehouse , Logistics , Supply Chain and Inventory
- Construction and Civil Engineering Training
- Facilities Management Training
- Safety Training
- Healthcare Training
- Electrical and Power Engineering Training
PDF Training Plan 2021 - 2022
- Management and Leadership
- Finance , Accounting and Budgeting
- Human Resource Management
- Project , Procurement and Contracts
- Secretarial and Administration
- PR , Customer Services , Sales and Marketing
- Quality and Productivity
- Maintenance Engineering Training
- Oil and Gas Training
- Facilities Management Training
- Warehouse , Logistics , Supply Chain and Inventory
- Safety Training
- Healthcare Training
- Electrical and Power Engineering Training