Learning Objectives: This lesson will teach you about the overview and history of Six Sigma, the benefits of Six Sigma, and how to get started on a Six Sigma project.

Topics: Six sigma introduction and overview project administration, Who are customers, and what categories of customers are there? What is Customer Voice? (VOC), What Factors Influence Quality? (CTQ ), How can we link CTQs to critical internal business processes? (CBP ), Issue description, business case, goal statement, project scope, and project team are all elements of a project charter.

Learning Objectives: In this subject, you will learn about the metrics of improvement, data kinds, and data collection plans.

Topics: Process mapping and analysis Understanding the AS-IS mechanisms in detail Knowing how to use the tools to develop a process map, The Dos and Don'ts of Process Mapping SIPOC, Understanding data, Data types and properties, Fundamental statistics include mean, median, mode, standard deviation, and variation. Techniques for gathering data, Recognizing data sampling and procedures, Defining a unit and assessing DPU, DPO, DPMO, etc. Sigma computation for discrete and continuous data types.

Learning Objectives: In this lesson, you will learn about the Data Driven Approach to Data Analysis and how to apply various statistical approaches to infer outcomes.

Topics: Data analysis methodologies, Data analysis tools, FMEA, Pareto Chart, and Fishbone Diagram.
Validation of the premise using statistical hypothesis ( Assumption based on P-value), Recognizing Type I and Type II errors Means analysis with variation (ANOVA), Using Correlation to assess the statistical significance of two data sets, Regression models are used to predict and estimate Y's given X inputs.
Using Chi-Square to calculate statistical significance.

Learning Objectives: Different process improvement approaches for selecting root causes and shortlisting remedies.

Topics: Recognizing Value, Using value stream mapping, 5S (Set, Sort, Straighten, Strengthen, Stabilize), Muda, and driving Kaizen events to evaluate value contributed and non-value added activities

Learning Objectives: This lesson will teach you how to create a control mechanism. You will also learn about tools such as Control Charts, which will be employed depending on the kind of data and the level of maintenance.

Topics: Creating Control Plans to Maintain Gains An Overview of Statistical Process Control (SPC) Charts Recognizing unique and common causes, for example, Control chart selection and implementation Control charts of the following categories are used: X bar R, X bar S, individual and moving range (ImR/ Xmr), NP,P,C, and U.

Control Chart Analysis- Analyze control chart findings, common and particular causes using statistical control principles. Using the pooka yoke to control the changes (mistake proofing), Assessing new process capabilities and developing control strategies