Effective Business Decisions using Data Analysis

An Intensive 5-day Training Course

Effective Business Decisions using Data Analysis

Effective Business Decisions using Data Analysis

Scheduled Dates

Classroom

10 - 14 Jun 2024 Dubai - UAE $5,950 RESERVE A SEAT
05 - 09 Aug 2024 Istanbul - Turkey $5,950 RESERVE A SEAT
23 - 27 Sep 2024 Dubai - UAE $5,950 RESERVE A SEAT
25 - 29 Nov 2024 London - UK $5,950 RESERVE A SEAT

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Why Choose this Training Course?

This Effective Business Decisions using Data Analysis training 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 training 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 PetroKnowledge training 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

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 PetroKnowledge 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 utilize 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 analyze 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.

This PetroKnowledge 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   

Daily Agenda

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

Certificate

  • On successful completion of this Training Course / Online Training Course, a PetroKnowledge Certificate / E-Certificate will be awarded to the delegates.

In Association With

GLOMACS Training

Our collaboration with GLOMACS aims to provide the best training services and benefits for our valued clients

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Frequently Asked Questions

  • To register online through our website, please click “Enroll Now” on the course page, complete and submit the form. A confirmation e-mail and instructions will be sent to the participant’s e-mail.
  • You may also get in touch with our Registration Team on
    +971 50 981 7386 | +971 2 557 7389 or send an email to reg@petroknowledge.com

  • Payments can be made in USD or UAE local currency AED (Arab Emirates Dirhams) either by Bank Transfer or by Credit Card. Our Bank Account details will be provided on the invoice.
  • Course fees are payable upon booking unless a valid, authorized Purchase Order is provided and accepted.
  • Invoices will be sent via email/courier to the ID/name and address provided.
  • The course fee shall be settled prior to course start date. Corporate payments with existing payment policy shall be relayed to us in advance.

Upon successful registration online, enrolment on the respective training course will be confirmed by Registration Team by e-mail along with the invoice and joining instruction.

For corporate fees and group registration, please send your query to info@petroknowledge.com.

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