Our Statistics Essentials for Analytics Training course helps you derive analytics insights through statistical techniques. It's a pre-requisite to learn R Analytics

1. Unlock your Learning Potential !
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Course details:
Course Code : MYT1649
Course Name: Statistics Essentials for
Analytics
Course duration: Fast track – 4 weeks
Regular weekdays – 6 weeks
Week End – 8 weeks
Training mode:
instructor led class training | Live virtual training
Contact: +91 90191 91856
Email:info@mytectra.com
Web: www.mytectra.com
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2. Course Objectives
After the completion of this course at myTectra, 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.
Pre-requisites
No prerequisites are required for this course.
myTectra Learning Solutions private Limited
Bangalore-BTM Layout/
+91 90191 91856/ info@mytectra.com / www.mytectra.com

3. 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.
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.
 Topics - Statistics & Basic Probability - Sampling Methods, Measures of Center,
Measures of Spread.
myTectra Learning Solutions private Limited
Bangalore-BTM Layout/
+91 90191 91856/ info@mytectra.com / www.mytectra.com

4. 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.
 Topics - Conditional Probability & Bayesian Inference - Terms, Definitions,
Examples, Concepts & Applications.
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.
 Topics - Probability Distributions & Regression Modeling - Normal Distribution,
Binomial Distribution, Linear Regression Model and Analysis.
myTectra Learning Solutions private Limited
Bangalore-BTM Layout/
+91 90191 91856/ info@mytectra.com / www.mytectra.com