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Globally recognized and accredited Online Training and Certification course on Advanced Statistical Tools and Techniques
5.0 (243 ratings)
Language: English
Instructors: Aryan Viswakarma
Validity Period: 365 days
Why this course?
Course: Advanced Statistical Tools (AST)
Course Duration: 11 hrs
Course Objectives
Statistics, at its disciplinary core, is the science of understanding data. Qualitative data, which is difficult or impossible to quantify, and quantitative data are both types of information that statistics help us analyze, process and use.
The better grasp you have on statistics and statistical analysis, the more prepared you’ll be in a range of activities and situations, from playing games to doing your job in professional life. Statistical analysis is prevalent in all walks of life, and all professionals should have basic understanding of statistics.
“Statistics…is the most important science in the whole world: for upon it depends the practical application of every other science and of every art; the one science essential to all political and social administration, all education, all organization based upon experience, for it only gives the results of our experience.”
Data is everywhere. If you want to navigate the world properly, you need to have a handle on statistics.
Prerequisites
Candidates shall have basic understanding on the concepts of statistics and shall have interest on the subject.
Who Should Attend?
Certification Exam
Pass Criteria: > 60% marks
For candidates clearing the exam successfully certificate shall be issued by Quality HUB India™, which is a registered organization with GOI for training and certification courses.
How will I benefit from this certification?
Statistical data reveals broad implications that can dictate how entire organizations are run. Take the field of education as an example. Teachers use statistics to create fair tests. Students use statistical probabilities to determine what they need to study most before exams.
School psychologists and nurses use statistics to ask for the resources they’ll need to help kids, while voters consider data while determining their school district’s annual budget. At every level, someone is crunching numbers and using data to guide their decision-making.
This course is designed by Quality HUB India™for all those professionals, students, engineers who want to enhance their carrier either in the field of Statistics, Problem Solving, Six Sigma, and other relevant fields.
Copying, Selling, or Harming videos-
PS: Please contact us at +91-8094078781 or drop a mail at info@qualityhubindia.com /qhi2017@gmail.com if you notice any unlawful activity taking place in the name of Quality Hub India.
Format, Pdf, E-books, Templates availability:
All supporting format, Pdf, E-books, Templates as per the course requirement and within the scope, has been uploaded in the portal in the course section and downloadable.
No additional documents, formats, templates, etc shall be provided by QHI.
Policy on Cancellation and Refunds
For Technical Support-
Contact us at +91-8094078781 / 8824314500 or drop a mail at info@qualityhubindia.com /qhi2017@gmail.com
*Prices may change at any time without prior notice.
REQUEST FOR COURSE VALIDITY EXTENSION
You can also pay by scanning a QR code. Kindly share screenshot on mail at qhi2017@gmail.com with full details after payment (Name, Email id, Contact No. and Course Name)
Welcome and Study Instruction | |||
Intro to Quality HUB India (1:00) | |||
Welcome and Study Instruction (English) (3:00) | |||
Introductions to Statistics and Basics Tools | |||
Introduction to Basic Statistics- What is statistics? and Definition of Statistics (English) (3:00) | |||
Sample VS Population statistics-(English) (3:00) | |||
Basic Statistics- Why do we use Statistics?, What is Sample , Population and Sample (English) (6:00) | |||
Sampling and types of sampling (English) (14:00) | |||
How to Select Proper Graph for analysis (English) (11:00) | |||
Box and Whisker Plot (English) (15:00) | |||
Histogram -Data Distribution Tool - (ENGLISH) (10:00) | |||
Scatter Plot or Scatter Diagram -(ENGLISH) (7:00) | |||
Measurement System Analysis (MSA) | |||
(P1)Introduction to Measurement System Analysis(MSA)- English (7:00) | |||
(P2)Understand Measurement as a Process - English (3:00) | |||
(P3) Sources of Variation - English (5:00) | |||
(P4)Fundamental Properties of Measurement System - English (2:00) | |||
(P8) Bias, Linearity and Stability - English (6:00) | |||
(P10) Repeatability and Reproducibility - English (10:00) | |||
How to Conduct Variable Gauge R and R (English) (13:00) | |||
Acceptance Criteria (variable Gauge MSA) - (English) (2:00) | |||
Variable Gauge R and R Study in Excel (Case Study) (16:00) | |||
Attribute Agreement Analysis and Acceptance Criteria (English) (13:00) | |||
Control Charts & Case Studies (Excel + Minitab) | |||
SPC Study Steps - (English) (19:00) | |||
SPC- Control Chart (English) (21:00) | |||
SPC- Interpretation of Control Chart (English) (14:00) | |||
X-Bar and R-Chart(Excel) Case study-(ENGLISH) (18:00) | |||
X-Bar and R-Chart (Fruit Minitab Case Study)- English (9:00) | |||
Individual Moving Range (IMR Chart Minitab Case Study)- Cam Shaft Production - English (8:00) | |||
Attribute Control Charts & Minitab Case Study | |||
Introduction to Attribute Control Charts (English) (3:00) | |||
Introduction to 'p' Chart (English) (21:00) | |||
'p'-Chart (Minitab Case Study) - English (5:00) | |||
Introduction to 'np' Chart (English) (9:00) | |||
'np'-Chart (Minitab Case Study)- English (5:00) | |||
Introduction to 'u' Chart (English) (14:00) | |||
'u'-Chart (Minitab Case Study)- English (5:00) | |||
Introduction to 'c' Chart (English) (8:00) | |||
'c'-Chart (Minitab Case Study)- English (4:00) | |||
Where to use which attribute Charts? (English) (5:00) | |||
Formula for Discrete Control Charts (English) (3:00) | |||
Meaning of Attribute Charts(English) (4:00) | |||
Process Capability Study | |||
(P1) Intro to Process Capability Study (English) (4:00) | |||
(P2) What is Capability? (English) (2:00) | |||
(P3) VOC and VOP (English) (2:00) | |||
(P5)Capability Indices, Cp and Cpk (English) (7:00) | |||
(P6) Graphical Representation of Cp and Cpk (English) (7:00) | |||
(P7) Process Capability Index Cpk (English) (6:00) | |||
(P8) Capability for One Spec Limit (English) (1:00) | |||
(P9) Long Term Capability Study (Pp and Ppk)- (English) (3:00) | |||
(P10) Acceptance Criteria -Capability Study (English) (2:00) | |||
Hypothesis Test | |||
Paired t-test (Minitab Exercise) (6:00) | |||
1 sample t-test (7 min)-05.10.21 (6:00) | |||
2 sample t-test(Minitab)-05.10.21 (9:00) | |||
Non-Parametric Test | |||
Introduction to Non- Parametric Test. Difference between Parametric and Non-Parametric Test (English) (11:00) | |||
1- Sample Sign Test (English) (3:00) | |||
Moods Median Test (English) (3:00) | |||
Man Whitney Test (English) (4:00) | |||
Kruskal Wallis Test (English) (3:00) | |||
Analysis of Variance (ANOVA) | |||
(P1.1) Intro to ANOVA (Analysis of Variance) -English (6:00) | |||
(P1.2) ANOVA-Additivity and Total Variance- Data Dimension and Total Variance Calculation (English) (11:00) | |||
(P2.1)ANOVA(One Way ANOVA Step 1 and 2)- Components of Variation and Calculation of the sum of squares (English) (6:00) | |||
(P2.2)ANOVA (Degree of Freedom) -English (3:00) | |||
(P2.3) ANOVA- Calculation of Mean Square, Calculation of the F- Ratio and Testing for significance (English) (4:00) | |||
(P2.4) ANOVA in Minitab- 95% Confidence Intervals (English) (2:00) | |||
(P2.5) ANOVA Summary and Crossed VS Nested Design (English) (4:00) | |||
ANOVA (Minitab Case Study)- Molding Process (English) (10:00) | |||
Analysis of Means (ANOM) | |||
ANOM(P1)-Introduction to ANOM-(English) (8:00) | |||
ANOM(P2)- Difference between ANOVA and ANOM-(English) (1:00) | |||
ANOM(P3)- Case Study -(English) (5:00) | |||
Regression Analysis | |||
(P1.1) Intro to Regression and Scatter Plot (English) (12:00) | |||
(P1.2) Regression-Correlation Analysis (English) (7:00) | |||
(P2.1) Regression- Introduction to Linear Regression (English) (7:00) | |||
(P2.2) Scatter Diagram, Regression (Minitab Example)- (English) (8:00) | |||
(P3.1) ANOVA for Linear Regression and Normality of Residuals (English) (10:00) | |||
(P3.2) Regression- Interpolation and Extrapolation summary (English) (4:00) | |||
Scatter, Correlation and Regression (Minitab Exercises) -English (13:00) | |||
Design of Experiments (DOE) | |||
(P1)Design of Experiments (DOE)-Introduction, Benefits of DOE, What is Experimental Design? and How DOE works? (10:00) | |||
(P2.1)DOE- How DOE works -Example (5:00) | |||
(P2.2)DOE Key Terms (English) (6:00) | |||
(P2.3) DOE Coffee making Example (English) (11:00) | |||
(P3.1) DOE-Steps, One Factor at a Time (OFAT), Trial and Error, Fractional Factorial (English) (15:00) | |||
(P3.2)DOE- Mould Experiment Design and Main Effect Plot (English) (9:00) | |||
(P4) DOE-Mould Experiment(Interaction Effects)(English) (17:00) | |||
(P5.1)DOE-Mould Experiment (Interaction Effect summary) (English) (4:00) | |||
(P5.2)DOE-Creating design in Minitab(Mould Experiment)-(English) (8:00) | |||
(P6) DOE-Minitab Data Analysis(Mould Experiment) (English) (11:00) | |||
(P7)DOE-Minitab Main effect and Interaction(Mould Experiment) (English) (9:00) | |||
DOE(Minitab Exercise)- Molding Experiment (English) (23:00) | |||
Practice Test - Advanced Statistics | |||
E-Books | |||
The Book of SPC | |||
Confirmation for Final Test | |||
Registration Form |
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