Course Overview This training helps you to analyse the data. It is also extensively used by Six Sigma Experts a is an important part of studying data, particularly in the Measure and Analyse phases of DMAIC. This training provides a quick, effective solution for the level of analysis. 
Training Duration Total Training Hours : 28-30 Hours
Training Duration : 1 Week
Total Training Days : 4-5 Working Days
Training Schedules Weekdays (Sunday to Thursday)Regular Sessions : 4 Hrs Per day 
WeekEnds (Friday & Saturday)Fast Track Sessions: 6-8 Hours per day 

Certifications: Weekdays (Sunday to Thursday)Regular Sessions : 4 Hrs Per day 
WeekEnds (Friday & Saturday)Fast Track Sessions: 6-8 Hours per day 
Tests Yes
Learning Aids Yes
Course Material Hard & Soft Copies of Study Material
Language of Instruction English
Instructor Helpline Yes
1. Email
2. Social Media (For Emergency requirements)
Registration Requirements 1. Passport Copy
2. Curriculum Vitae
3. Passport size photographs
4. Course Fee
Mode of Payment: Cash / Cheque / Credit Card / Bank Transfer.
Eligibility Criteria
(Who should attend this training)
Managers, professionals, team leads and employees who are expected to lead improvement efforts in their work areas, or those who aspire to be in such roles, should attend this programme. You should be a Graduate with a good Bachelor’s degree or a Polytechnic Graduate with at least 1 year of working experience. You should also be someone who would be comfortable working in and leading project teams.  Organisation leaders who would like to learn what it would take to manage projects in their organization are also welcome.
Course Benefits

Measure Phase
In Measure Phase, the defined problems are measured in terms of statistics. In this phase, the real world problem gets converted into a statistical problem which is easier to solve. 

Analyse Phase
With the mathematical problem – usually poor process capability – low capability number, can proceed to Root cause analysis in the Analyse Phase. The root causes of the problem are identified and proved in Analyse Phase
Control Phase: Convert the statistical solutions into real life solutions at Improve Phase.

Course Contents / Outline

ypes of Data

Data Collection & Display

Frequency Table

Concentration Diagrams

Stem and Leaf Diagrams

Frequency Distribution


Descriptive Statistics


Population and Sample

Why do we need samples?

Different methods of sampling

Estimating Sample Size

Properties of data

Central Tendency

Mean, Median, Mode & Quartiles


Range, Variance, Standard Deviation & IQR


Understanding Behaviour of collected data

Trends & Patterns in Data

Trend Analysis

Variation & its consequences

Stability Analysis

Test for Normality

Process Capability

Cp & Cpk


Standard Normal Distribution (Z)

Basic Data Analysis Tools


Pareto Analysis

Box Plot


Testing of Hypothesis

t – Test


Regression Analysis

Regression and Correlation

Determination Coefficient

Simple Linear Regression

Curvilinear Regression

Overview to Design of Experiments

Control Phase


Individual Values




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