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Online Training and Certification course on Advanced Statistical Tools and Techniques
5.0 (102 ratings)
Language: Hindi
Instructors: Dr. 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 analyse, 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 a basic understanding of statistics.
“Statistics…is the most important science in the whole world: for upon it depends on 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 a basic understanding of the concepts of statistics and shall have an interest in the subject.
Who Should Attend?
Join Our Weekly Live Doubt-Clearing Sessions
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Why Attend?
Certification Exam Guidelines
Examination Format:
Course Validity & Exam Timeline:
Note: Attempting the exam after the one-year period will require an additional fee.
Certification:
Sample Certificate:
Policy on Cancellation and Refunds
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*Prices may change at any time without prior notice.
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Accreditations & Certifications
· Introduction to Basic Statistics- What is statistics? and Definition of Statistics
· Sample VS Population statistics
· Basic Statistics- Why do we use Statistics? What is Sample, Population and Sample
· Sampling and types of sampling
· How to Select Proper Graph for analysis
· Box and Whisker Plot
· Histogram -Data Distribution Tool
· Scatter Plot or Scatter Diagram
Measurement System Analysis (MSA)
· Introduction to Measurement System Analysis(MSA)
· Understand Measurement as a Process
· Sources of Variation
· Fundamental Properties of Measurement System
· Bias, Linearity and Stability
· Repeatability and Reproducibility
· How to Conduct Variable Gauge R and R
· Acceptance Criteria (variable Gauge MSA)
· Variable Gauge R and R Study in Excel
· Attribute Agreement Analysis and Acceptance Criteria
Control Charts & Case Studies (Excel + Minitab)
· SPC Study Steps
· SPC- Control Chart
· SPC- Interpretation of Control Chart
· X-Bar and R-Chart(Excel) Case study
· X-Bar and R-Chart (Minitab Case Study)
· Individual Moving Range (IMR Chart Minitab Case Study)
Attribute Control Charts & Minitab Case Study
· Introduction to Attribute Control Charts
· Introduction to 'p' Chart
· 'p'-Chart (Minitab Case Study)
· Introduction to 'np' Chart
· 'np'-Chart (Minitab Case Study)
· Introduction to 'u' Chart
· 'u'-Chart (Minitab Case Study)
· Introduction to 'c' Chart
· 'c'-Chart (Minitab Case Study)
· Where to use which attribute Charts?
· Formula for Discrete Control Charts
· Meaning of Attribute Charts
Process Capability Study
· Intro to Process Capability Study
· What is Capability?
· VOC and VOP
· Capability Indices, Cp and Cpk
· Graphical Representation of Cp and Cpk
· Process Capability Index Cpk
· Capability for One Spec Limit
· Long Term Capability Study (Pp and Ppk)
· Acceptance Criteria -Capability Study
Hypothesis Test
· Paired t-test (Minitab Exercise)
· sample t-test (Minitab Exercise)
Non-Parametric Test
· Introduction to Non- Parametric Test. Difference between Parametric and Non-Parametric Test
· Sample Sign Test
· Moods Median Test
· Man Whitney Test
· Kruskal Wallis Test
Analysis of Variance (ANOVA)
· Intro to ANOVA (Analysis of Variance)
· ANOVA - Additivity and Total Variance- Data Dimension and Total Variance Calculation
· ANOVA (One Way ANOVA Step 1 and 2)- Components of Variation and Calculation of the sum of squares
· ANOVA (Degree of Freedom)
· ANOVA- Calculation of Mean Square, Calculation of the F- Ratio, and Testing for significance
· ANOVA in Minitab- 95% Confidence Intervals
· ANOVA Summary and Crossed VS Nested Design
· ANOVA (Minitab Case Study) - Molding Process
Analysis of Means (ANOM)
· Introduction to ANOM
· Difference between ANOVA and ANOM
· ANOM (Minitab Case Study)
Regression Analysis
· Intro to Regression and Scatter Plot
· Regression- Correlation Analysis
· Regression- Introduction to Linear Regression
· Scatter Diagram, Regression (Minitab Case Study)
· ANOVA for Linear Regression and Normality of Residuals
· Regression- Interpolation and Extrapolation summary
· Scatter, Correlation, and Regression (Minitab Case Study)
Design of Experiments (DOE)
· Design of Experiments (DOE) -Introduction, Benefits of DOE, what is Experimental Design? and How DOE works?
· How DOE works – Example
· DOE Key Terms
· DOE - Coffee making Example
· DOE - Steps, One Factor at a Time (OFAT), Trial and Error, Fractional Factorial
· DOE - Mould Experiment Design and Main Effect Plot
· DOE - Mould Experiment (Interaction Effects)
· DOE - Mould Experiment (Interaction Effect summary)
· DOE - Creating a design in Minitab (Mould Experiment)
· DOE - Minitab Data Analysis (Mould Experiment)
· DOE - Minitab Main effect and Interaction (Mould Experiment)
· DOE - (Minitab Exercise)- Molding Experiment
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