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Quick Facts

Medium Of Instructions	Mode Of Learning	Mode Of Delivery
English	Self Study	Video and Text Based

Course Overview

The Statistical Learning For Reliability Analysis certification course is a comprehensive exploration of techniques aimed at deriving meaningful insights from data. Covering topics such as machine learning, hypothesis testing, and variance analysis, it caters to students from diverse backgrounds like Computer Science, Engineering, and more.

The Statistical Learning For Reliability Analysis certification by Swayam provides a solid foundation in statistical learning methodologies. Students gain valuable skills applicable across academia and industry, meeting the demands of IT companies. Upon completion, learners are well-equipped to tackle real-world data analysis challenges and contribute effectively to data-driven decision-making processes in various sectors.

The Highlights

Elective Online Course
12 Weeks Duration
Offered by IIT Kharagpur

Programme Offerings

Certificate of completion
Practical Learning
Hands-on Experience

Courses and Certificate Fees

Fees Informations	Certificate Availability	Certificate Providing Authority
INR 1000	yes	IIT Kharagpur

The Statistical Learning For Reliability Analysis certification fees is free. However, if you want a certificate, you must register and take the proctored exam at designated centres, which is optional and comes with a fee of Rs 1000.

Statistical Learning For Reliability Analysis Certification Fee Structure

Particulars	Total Fees
Statistical Learning For Reliability Analysis (exam)	Rs 1000/-

Eligibility Criteria

Academic Qualifications

Participants are expected to have a basic understanding of high-school level mathematics and statistics to excel in the Statistical Learning For Reliability Analysis certification course.

Certification Qualifying Details

To receive the Statistical Learning For Reliability Analysis certification by Swayam, you need a minimum average assignment score of 10/25 and an exam score of 30/75.

What you will learn

After completing the Statistical Learning For Reliability Analysis certification syllabus, you will delve into a wide range of statistical learning techniques designed to extract valuable insights from data. You will learn about the fundamentals of machine learning, deep learning, and traditional statistical methods, equipping you with the tools to analyze data effectively.

Upon completion of the Statistical Learning For Reliability Analysis training, you will learn data sampling, hypothesis testing, variance analysis, and likelihood estimation, providing you with a comprehensive understanding of statistical inference. You will gain proficiency in applying these techniques to real-world datasets.

Who it is for

Data AnalystStatisticianData ScientistMachine Learning EngineerResearch Scientist

The Statistical Learning For Reliability Analysis online course is suitable for anyone interested in gaining proficiency in statistical learning techniques. This course is particularly beneficial for:

Admission Details

Follow these steps to join the Statistical Learning For Reliability Analysis classes:

Step 1: Browse the URL below:

https://onlinecourses.nptel.ac.in/noc23_cs84/preview

Step 2: Click on the “Sign-in/ Register” button

Step 3: Fill out the necessary details and submit the form

The Syllabus

Introduction to reliability, reliability estimation, concept of statistical learning, advanced techniques to reliability analysis.

Probability distribution techniques: discrete and continuous probability distributions and their applications to reliability estimation modeling.

Sampling distribution techniques and their different applications for reliability prediction.

Statistical inference technique-I (Parametric-based approaches: Hypothesis testing, Confidence interval estimation).

Case studies for reliability analysis with parametric-based approaches.

Statistical inference techniques-II (Non-parametric-based approaches: Correlation analysis, Relation analysis, Regression analysis).

Case studies for reliability analysis with non-parametric based approaches

Statistical learning with single population, pair t-tests techniques. Illustration with applications to reliability analysis.

Statistical learning with more than one population, ANOVA techniques. Illustration with applications to reliability analysis.

Maximum likelihood estimation techniques. Illustration with applications to reliability analysis.

Statistical method of data classification. Illustration with applications to reliability analysis.

Entropy and its applications to statistical learning. Illustration with applications to reliability analysis.

Evaluation process

The Statistical Learning For Reliability Analysis certification offers an optional exam. Your final score is determined by averaging the best 8 out of 12 assignments (25%) and your proctored exam score (75%).

IIT Kharagpur Frequently Asked Questions (FAQ's)

1: What background knowledge do I need to enroll in the Statistical Learning For Reliability Analysis online course?

This course requires familiarity with high-school level linear algebra, calculus, probability, and statistics.

2: Is the Statistical Learning For Reliability Analysis training suitable for beginners in statistical learning?

Yes, this course covers a wide range of statistical learning techniques and is designed to accommodate learners at various levels of expertise, from beginners to more advanced students.

3: What kind of industries or career paths can the Statistical Learning For Reliability Analysis online course lead to?

Students can pursue careers in industries such as technology, finance, healthcare, marketing, and more. Careers include data scientists, machine learning engineers, data analysts, statisticians, and research scientists, among others.

4: How much time commitment is required for the Statistical Learning For Reliability Analysis certification?

The course duration is 12 weeks, and participants can expect to dedicate several hours per week to lectures, readings, assignments, and practical exercises.

5: Will I receive any certification upon completing this course?

Yes, upon successful completion of the course, you will earn a certificate of completion and three credit points, suitable for both undergraduate and postgraduate levels.