Statistics Essentials for Analytics

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-guided Statistics Essentials for Analytics Course is intended for the learners to comprehend and actualize different factual strategies. These strategies are clarified utilizing devoted illustrations. The utilization case is taken up toward the finish of every module and bits of knowledge are accumulated, along these lines toward the finish of the course we have a Project which is reliably worked upon all through the course.

Course Objectives

During the Statistics Essentials for Analytics

After the finishing of this course at GKLM Tech, you ought to have the capacity to:

  1. Learn different measurements systems like Sampling Methods, Conditional Probability, Bayesian Theorem, and so on.
  2. Understand where and how to apply which measurable strategy
  3. Implement Milgram's Experiment
  4. Implement measurements to finish up bits of knowledge on this present reality Flight Data


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.
Topics - Statistics & Basic Probability - Sampling Methods, Measures of Center, Measures of Spread.

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.
Topics - Conditional Probability & Bayesian Inference - Terms, Definitions, Examples, Concepts & Applications.

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.
Topics - Probability Distributions & Regression Modeling - Normal Distribution, Binomial Distribution, Linear Regression Model and Analysis.


1. The entire training course content is in line with GKLM Tech certification program and helps you clear it with ease and get the best jobs in the top MNCs. As part of this training you will be working on real time projects and assignments that have immense implications in the real world industry scenario thus helping you fast track your career effortlessly.
2. At the end of this training program there will be quizzes that perfectly reflect the type of questions asked in the respective certification exams and helps you score better marks in certification exam.

Contact Us


+91 9999160255    +91 8595181398

FAQ's


Every one of the recordings and different materials like PPTs, Quiz and Assignments and so on., are facilitated in our Learning Management System (LMS) and you will have a lifetime access to that.

There are no pre-requisites for this course.

Get in touch with us
GKLM
  5476 Sona Place, Opp. Spark Mall,
Kamla Nagar, New Delhi, India

+91-9999160255   +91-8595181398

  tech.gklm@gmail.com
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