A self-paced course that helps you to understand the various Statistical Techniques from the very basics and how each technique is employed on a real world data set to analyze and conclude insights.

About The Course
The self-paced Statistics Essentials for Analytics Course is designed for the learners to understand and implement various statistical techniques. These techniques are explained using dedicated examples. The use case is taken up at the end of each module and insights are gathered, thus at the end of the course we have a Project which is consistently worked upon throughout the course.
Course Objectives
After the completion of this course at Edureka, you should be able to:
1.Learn various statistics techniques like Sampling Methods, Conditional Probability, Bayesian Theorem, etc.
2.Understand where and how to apply which statistical technique
3.Implement Milgram’s Experiment
4.Implement statistics to conclude insights on the real world Flight Data
Who should go for this course?
This course is designed for a wide range of people right from graduate students who might have no knowledge of statistics to business analysts who want to make their mark in the Analytics Domain.This course is also for people who might have a past knowledge of statistics and want to refresh the concepts.
No prerequisites are required for this course.
Why learn Statistics Essentials for Analytics?
Statistical methods are required to ensure that data are interpreted correctly and that apparent relationships are meaningful and not simply chance occurrences. This proves helpful in gathering insights of a business/product and also to make efficient business decisions, be it any domain. Thus, statistics is an essential technique to learn in today’s world of infinite data.

Course Curriculum

1. Introduction to Statistics and Basic Probability
Learning Objectives – At the end of this module, you will be able to understand Skewness, Modality, Measures of Center, Measures of Spread etc. You will also understand the relationship between these terminologies. You will also be able to analyze airlines data set to gather insights. 00:00:00
Topics – Statistics & Basic Probability – Sampling Methods, Measures of Center, Measures of Spread. 00:00:00
2. Basic Probability, Conditional Probability and Bayesian Inference
Learning Objectives – At the end of this module, you will be able to understand the rules of probability, learn about Disjoint and Independent events, understand the concept of probability, implement these concepts on a case-study. You will also learn and implement Bayes’ Theorem and implement Bayes’ theorem on a case-study. 00:00:00
Topics – Conditional Probability & Bayesian Inference – Terms, Definitions, Examples, Concepts & Applications. 00:00:00
3. Distributions and Regression Modeling
Learning Objectives – At the end of this module, you will be able to understand Normal distribution, interpreting z-scores and calculating percentiles, Binomial Distribution, Mean and Standard deviation. You will also understand the Milgram Experiment. 00:00:00
Topics – Probability Distributions & Regression Modeling – Normal Distribution, Binomial Distribution, Linear Regression Model and Analysis. 00:00:00


The software can be downloaded and installed from for free from the link that will be provided in the LMS. The detailed installation guides are also provided in the LMS for setting up the environment. In case you come across any doubt, the 24*7 support team will promptly assist you.

“You will never lose any lecture. You can choose either of the two options: View the recorded session of the class available in your LMS. You can attend the missed session, in any other live batch.”

Eduqfa is committed to provide you an awesome learning experience through world-class content and best-in-class instructors. We will create an ecosystem through this training, that will enable you to convert opportunities into job offers by presenting your skills at the time of an interview. We can assist you in resume building and also share important interview questions once you are done with the training. However, please understand that we are not into job placements.

We have limited number of participants in a live session to maintain the Quality Standards. So, unfortunately participation in a live class without enrolment is not possible. However, you can go through the sample class recording and it would give you a clear insight about how are the classes conducted, quality of instructors and the level of interaction in the class.

All the instructors at edureka are practitioners from the Industry with minimum 10-12 yrs of relevant IT experience. They are subject matter experts and are trained by edureka for providing an awesome learning experience.

You can give us a CALL at +919599586895 OR email at support@eduqfa.com


Splunk course was absolutely great. Instructor taught all the concepts thoroughly and he is very knowledgeable, clarified and answered all the questions. The support team at Edureka is really good. Enjoyed the course, good hands on as well which was very helpful.


I would definitely like to give more than 5 stars to Edureka, i have been associated with more than two years from now, and i have never had any issue or any complains. Support staff is excellent and very professional, the amount of time they spend with each customer is really appreciated. Today I registered for the PMP training, and Mr Shyam from sales was extremely good to do the registration process. Keep up the good work , a very well organized and structured company I would say.

Rupali Sharma

I took PMP online classes with edureka (March Batch) and my instructor was Mr. Niladri. Just wanted to let you know that I was successfully able to pass the PMP exam couple of weeks ago. I enjoyed learning the concepts of PMP through edureka by the excellent laid out structure.

Mr. Niladri's method of teaching was very helpful. During the classes he went over the concepts in detail and also clarified all the questions very patiently. He also shared his real world experiences which helped the student to relate to the topic. Even after the completion of course work, while reviewing the chapters in LMS, I struggled in few areas and when I reached out to Mr. Niladri without any hesitation he explained it to me by providing some good examples.

Just wanted to take a moment to thank the persons who contributed the most in my success.

Sudha Kargi

I think the course is doing an excellent job of giving a comprehensive understanding of each topic and putting emphasis on the most important question such as when do we choose a particular technique with Hadoop to solve a problem etc.

Rob Murphy

Pretty good module and the instructor. The mock tests were useful for the final exam. Though the tips on the LMS would have been more nicer, but well worth the time. Thanks. #PMPExamPass

Karthiraj Mani

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