:: DEFINE | Management Consultancy & Training Provider In UAE, Abu Dhabi,Dubai,Saudi Arabia ::

ADVANCED DATA ANALYSIS

Location

London, United Kingdom

Date

From Date: 16-Dec-2024
To Date: 20-Dec-2024

Duration

5 Days

Language

English

Discipline

Introduction

TRAINING OVERVIEW

This course focuses on the techniques and applications statistical data analysis. Typically, focuses on understanding the data, empirical model building using observational data for characterization, estimation, inference and prediction. Participants will study the theory, principles and methods for statistical analysis of observational data. Regression analysis, Parameter Estimation, and Testing of Hypotheses will be the primary tools to be discussed. Participants will develop empirical model building skills and be able to employ the models for characterization, estimation and prediction purposes. While statistical techniques are emphasized throughout, the course has a strong engineering and management orientation. Guidelines are given throughout the course for selecting the proper type of statistical technique to use in a wide variety of product and nonproduct situations.

Objective

On successful completion of the course you will be able to:

To give the participants a sound understanding of the principles and the basis for applying the basic principles of modern statistical methods for analyzing the data and make the correct inferences.
To perform data analysis and/or data investigation for what perspective.
To use data analysis results and turns it in attractive presentations for decision making processes.
To define the key concepts in Statistics and Sampling
To enable the attendees to grasp the advanced information in various aspects of basic data analysis.
To present different techniques of statistical data analysis
To introduce the concept of regression analysis and statistical modeling to participants.
To illustrate study cases for different applications of statistical data analysis

Audience

Engineers and Senior Engineers/Specialists working in technical areas (Field and Headquarters) dealing with production or maintenance activities. Planning Engineers with technical background, Reliability Engineers, etc… This course is also intended for engineers in various industrial and service sectors, private and public fields that need a tool to plan for the future of their company. Strategic planning managers, research and development managers, general managers, and can be tailored according to company’s specific needs.

Content

DAILY OUTLINE
The following topics will be covered in 3 days:

DAY ONE
INTRODUCTION & BASICS

Introduction
Types of Data: Measurement & Categorical Variables
Measurement scales
Variables
Parameters
Statistics:
- Descriptive Statistics
- Inferential Statistics
Accuracy And Precision
Summation Notation
Confidence Intervals
Exercises

UNIVARIATE DATA

Central Tendency
- Mean
- Median
- Mode
Spread
- Range
- Semi-Interquartile Range
- Variance
- Standard Deviation
Shape
- Skew
- Kurtosis
Graphs
Exercises

BIVARITE DATA

Scatter plots
Pearson’s Correlation
Example Values of r
Exercises

PROBABILITY

Simple & Conditional Probability
Probability of (A and B) and (A or B)
Binomial Distribution
Exercises

DAY TWO

NORMAL DISTRIBUTION

Definition
Standard Normal Distribution
Conversion to Percentiles and Back
Exercises

SAMPLING DISTRIBUTION

Definition
Sampling Distribution of the Mean
Standard Error
Central Limit Theorem
Difference Between Means
Proportion
Difference Between Proportions
Exercises

POINT ESTIMATION

Overview
Characteristics of Estimators
Estimation Variance
Exercises

CONFIDENCE INTERVALS

Overview
Mean, σ Known
Mean, σ Estimated
General Formula
Difference Between Means of Independence Groups: σ Known; σ Estimated
Linear Combination of means from Independent Groups
Exercises

DAY THREE

LOGIC OF HYPOTHESIS TESTING

Ruling Out Changes as an Explanation
The Null Hypothesis
Steps in Hypothesis Testing
The Precise Meaning of the p Value
At What Level is H0 Really Rejected
Statistical and Practical Significance
Type I and II Errors
One- and Two-Tailed Tests (t-tests)
Confidence Intervals and Hypothesis Testing
Exercises

HYPOTHESIS TESTING WITH STANDARD ERRORS

General Formula
Tests of μ, σ Known
Tests of μ, σ Estimated
μ1 - μ2, Independent Groups, σ Estimated
μ1 - μ2, Dependent Groups, σ Estimated
Linear Combination of Means, Linear Combination of Means, Independent Groups
Proportions
Differences Between Proportions
Exercises

POWER & *P VALUE

Introduction
Factors Affecting Power
- Introduction
- Size of Differences Between Means
- Significance Level
- Sample Size
- Variance
- Other Factors
Estimating Power
*P Value
Exercises

ANALYSIS OF VARIANCE (ANOVA)

Preliminaries
ANOVA with 1 Between-Subjects Factor
Tests supplementing ANOVA
Formal Model
Expected Mean Squares
Exercises

PREDICTION

Introduction
Standard Error of the Estimate
Partitioning the Sums of Squares
Confidence Intervals and Significance Tests for Correlation and Regression
Simple Linear Regression
Multiple Linear Regressions
Exercises

TRAINING OUTCOME

To give the participants a sound understanding of the principles and the basis for applying the basic principles of modern statistical methods for analyzing the data and make the correct inferences.
To perform data analysis and/or data investigation for what perspective.
To use data analysis results and turns it in attractive presentations for decision making processes.
To define the key concepts in Statistics and Sampling
To enable the attendees to grasp the advanced information in various aspects of basic data analysis.
To present different techniques of statistical data analysis
To introduce the concept of regression analysis and statistical modeling to participants.
To illustrate study cases for different applications of statistical data analysis

NOTE:
Pre & Post Tests will be conducted
Case Studies, Group Exercises, Group Discussions, Last Day Review & Assessments will be carried out.

Certificate

Define Management Consultancy & Training Certificate of course completion will be issued to all attendees.

Methodology

This program will be provided through Classroom lectures , Participative discussions, Case studies , and Role Plays. This program will be delivered through Audio –Visual aids , White Board with Markers, and Flip Charts. One set of printed Course material will be provided to each of the participant.
Lectures, Discussion, Examples, Case Studies and Computer Applications.

SOFTWARE
Minitab ver. 14

MATERIALS
All the required material will be provided by the instructor; such as notes, examples and case studies.

Course Details