Globally recognized and accredited Online Training and Certification course on Basic Statistics and Statistical Tools
5.0 (20 ratings)
Instructors: Aryan Viswakarma
Validity Period: 365 days
Course: Basic Statistics & Statistical Tools
Course Duration: 6 hrs
Understanding statistics is essential to understanding research in the social and behavioral sciences. In this course you will learn the basics of statistics; not just how to calculate them, but also how to evaluate them. This course will also prepare you for the next course in the specialization
“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.
Who Should Attend?
Pass Criteria: > 60% marks
Certificate Program- Please note that only E-Certificates will be issued in this course. No hard copy will be mailed to your address.
Require a hard copy of the certificate?
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Step 2: Fill Candidate Registration Form attached in your Course Content Section and submit it in QHI Portal with a complete postal address and payment ID of INR 500/-
Step 3: You must wait 30 days to get a hard copy of the Certificate.
Downloading Course Certificate
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.
A QHI Certified Green Belt is issued a Certificate (Hard &/or soft) which includes a Certification Number and granted the right to use Titles; a professional designation which may be used in resumes and public profiles such as LinkedIn.
The authenticity of the certificate can be verified (VERIFY CERTIFICATE) at the course portal.
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.
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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
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*Prices may change at any time without prior notice.
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2. Basic Statistics- Why do we use Statistics? What is Sample, Population, and Sample
3. Difference between Std. Deviation and Std. Error
4. Data, Data Types, and Measures of Data
5. Objective of data collection, False data, Data gathering, etc
6. Measure of Central Tendency and Dispersion
7. Total Variation and causes of variation
8. Types of data-Variable vs Attribute data and Variable process outputs
9. Characteristics of Variable Data
10. Descriptive VS Inferential Statistics
11. Skewness and Kurtosis
12. Exercises on Descriptive Statistics in Microsoft Excel
13. Acceptance Sampling
14. OCC Curve and Producer’s Risk / Consumer’s Risk
a. Types of Sampling
b. Sampling Terminology
c. Sampling in research
16. Hypothesis Testing
17. Introduction to Hypothesis Testing
18. One Tail Test and Two Tail Test
19. Type 1 Error and Type II error
20. Statistical Tools
a. Scatter Plot
b. Box Plot
d. Pre-Control Chart
21. Introduction to Correlation and Regression Analysis
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