New Course Enquiry : flag

+1385 800 8942(Toll Free)

Home
All Courses
Data Science
Statistics Essentials for Analytics

Statistics Essentials for Analytics

Have Queries? Ask us +1385 800 8942

Preview this course

Statistics Essentials for Analytics Preview this course

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. Statistics and its methods are the backend of Data Science to "understand, analyze and predict actual phenomena". Machine learning employs different techniques and theories drawn from statistical & probabilistic fields.

7k+ satisfied learners Read Reviews

Online self paced classes

Online Self Learning Courses are designed for self-directed training, allowing participants to begin at their convenience with structured training and review exercises to reinforce learning. You'll learn through videos, PPTs and complete assignments, projects and other activities designed to enhance learning outcomes, all at times that are most convenient to you.

Course Price at

107 119

ENROLL NOW PAY LATER

Powered by

LIVE ONLINE CLASSES

Learn Data Science Live Online from top industry professionals

Live online training

Interactions with an Live Expert, get your doubts cleared in Real Time.

Classroom Experience

Access to World Class Instructors, from anywhere

Personal Learning Manager

Your guide from Edureka, to ensure you achieve your learning goals.

Get Assured Certification

Live course assures 6 times more probability of getting certified

Python Certification Training Course

Python Certification Training Course

41K Enrolled Learners
Weekend
Live Class

Data Science with Python Certification Course

Data Science with Python Certification C...

112K Enrolled Learners
Weekend/Weekday
Live Class

Python Machine Learning Certification Training

Python Machine Learning Certification Tr...

14K Enrolled Learners
Weekend
Live Class

Curriculum

Understanding the Data

Objectives: At the end of this Module, you should be able to:

Understand various data types
Learn Various variable types
List the uses of variable types
Explain Population and Sample
Discuss sampling techniques
Understand Data representation

Topics:

Introduction to Data Types
Numerical parameters to represent data

b. Mode

c. Median

d. Sensitivity

e. Information Gain

Statistical parameters to represent data

Get detailed course syllabus in your inbox

Probability and its uses

Objectives: At the end of this Module, you should be able to:

Understand rules of probability
Learn about dependent and independent events
Implement conditional, marginal and joint probability using Bayes Theorem
Discuss probability distribution
Explain Central Limit Theorem

Topics:

Uses of probability
Need of probability
Bayesian Inference
Density Concepts
Normal Distribution Curve

Get detailed course syllabus in your inbox

Statistical Inference

Objectives: At the end of this Module, you should be able to:

Understand concept of point estimation using confidence margin
Draw meaningful inferences using margin of error
Explore hypothesis testing and its different levels

Topics:

Point Estimation
Confidence Margin
Hypothesis Testing
Levels of Hypothesis Testing

Get detailed course syllabus in your inbox

Data Clustering

Objectives: At the end of this module, you should be able to:

Understand concept of association and dependence
Explain causation and correlation
Learn the concept of covariance
Discuss Simpson’s paradox
Illustrate Clustering Techniques

Topics:

Association and Dependence
Causation and Correlation
Covariance
Simpson’s Paradox
Clustering Techniques

Get detailed course syllabus in your inbox

Testing the Data

Objectives: At the end of this module, you should be able to:

Understand Parametric and Non-parametric Testing
Learn various types of parametric testing
Discuss experimental designing
Explain a/b testing

Topics:

Parametric Test
Parametric Test Types
Non- Parametric Test
Experimental Designing
A/B testing

Get detailed course syllabus in your inbox

Regression Modelling

Objectives: At the end of this module, you should be able to:

Understand the concept of Linear Regression
Explain Logistic Regression
Implement WOE
Differentiate between heteroscedasticity and homoscedasticity
Learn concept of residual analysis

Topics:

Logistic and Regression Techniques
Problem of Collinearity
WOE and IV
Residual Analysis
Heteroscedasticity
Homoscedasticity

Get detailed course syllabus in your inbox

View course curriculum

Like the curriculum? Enroll Now

Structure your learning and get a certificate to prove it.

Course Description

About The Course

The self-paced Statistics Essentials for Analytics Course has been designed in such a manner that it is easy for a future Data Scientist to get a solid foundation on the concepts. The complete mechanism of Data Science is explained in detail in terms of Statistics and Probability. Data and its types are discussed along with different kind of sampling procedures.

Other essential concepts of Statistics (statistical inference, testing, clustering) are emphasized here as well since that’s a very important part of being a Data Scientist. In addition, you will be introduced to primary machine learning algorithms in this Course.

Course Objectives

After the completion of this course, you should be able to:

Analyze different types of data
Master different sampling techniques
Illustrate Descriptive statistics
Apply probabilistic approach to solve real life complex problems
Explain and derive Bayesian inference
Understand Clustering techniques
Understand Regression modelling
Master Hypothesis
Illustrate Testing the data

Who should go for this course?

The course is designed for all those who want to learn essential statistics required for Data Science and Data analytics. The curated statistics course will help you form a strong foundation for the Data Science and predictive modelling (nowadays Machine Learning) field.

The following professionals can go for this course:

Developers aspiring to be a 'Data Scientist'
Analytics Managers who are leading a team of analysts
Business Analysts who want to understand Machine Learning (ML) Techniques
Information Architects who want to gain expertise in Predictive Analytics
'R' professionals who want to captivate and analyze Big Data
Analysts wanting to understand Data Science methodologies

Pre-requisites

No prerequisites are required for this course.

Why learn Statistics Essentials for Analytics?

Statistics and its methods are the backend of Data Science to "understand, analyze and predict actual phenomena". Machine learning employs different techniques and theories drawn from statistical & probabilistic fields. This Statistics Essentials for Analytics Course enables you to gain knowledge of the essential statistics required for analytics and Data Science, understand the mechanism of popular Machine Learning Algorithms like K-Means Clustering, Regression. The course also takes you through the glimpse of hypothesis testing and its methods enabling you perform test on alternative hypothesis.

View course curriculum

Certification

Edureka’s Proficient in Statistics Certificate Holders work at 1000s of companies like

Statistics Essentials for Analytics Certificate

Statistics Essentials for Analytics Certificate Watermark

Your Name

Proficient in Statistics

with Grade X

Sample ID NA Signature

The Certificate ID can be verified at www.edureka.co/verify to check the authenticity of this certificate

Click to Zoom

Testimonial Reviews

Mohit Sharma

I have been subscribing to Edureka's courses for almost a year now, primarily related to Big Data an ... Read More

D

Deepika

The modules were presented well, and the pace was good, not being too fast, or slow. Overall, the ma ... Read More

R

Rama krishna Gunji

The actual training is yet to begin. After completing the course. Because, Even support staff is mor ... Read More

D

DeepikaStudent

The modules were presented well, and the pace was good, not being too fast, or slow. Overall, the ma ... Read More

Eric ArnaudPhD candidate in computer engineering speciality applied cryptography at Korea University of Technology and Education

I would like to recommend any one who wants to be a Data Scientist just one place: Edureka. Explanat ... Read More

Sudha KargiAVP, Business Optimization and BPO Relationship | PMP Certified | Zions Bancorporation

I took PMP online classes with edureka. Just wanted to let you know that I was successfully able to ... Read More

Video Reviews

Sriram speaks about his learning experience with Edureka and how our Hadoop training helped him execute his Big Data project efficiently.

Vinayak shares his Edureka learning experience and how our Big Data training helped him achieve his dream career path.

Our learner Balasubramaniam shares his Edureka learning experience and how our training helped him stay updated with evolving technologies.

Loved reviews? Enroll Now

Structure your learning and get a certificate to prove it.

Projects

How will I execute the Practicals?

The practicals are shown in 'R' which is a open-source analytics tool. The step-wise set-up guide for R will be provided to you.

Course Features

Course Duration

You will undergo self-paced learning where you will get an in-depth knowledge of various concepts that will be covered in the course.

Real-life Case Studies

Towards the end of the course, you will be working on a project where you are expected to implement the techniques learnt during the course.

Assignments

Each module will contain practical assignments, which can be completed before going to next module.

Lifetime Access

You will get lifetime access to all the videos,discussion forum and other learning contents inside the Learning Management System.

Certification

edureka certifies you as an expert in Statistics based on the project reviewed by our expert panel.

Forum

We have a community forum for all our customers that further facilitates learning through peer interaction and knowledge sharing.

FAQ's

Will I Get Placement Assistance?

To help you in this endeavor, we have added a resume builder tool in your LMS. Now, you will be able to create a winning resume in just 3 easy steps. You will have unlimited access to use these templates across different roles and designations. All you need to do is, log in to your LMS and click on the "create your resume" option.

Who are the Instructors at edureka?

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.

What if I have more queries?

You can Call us at +91 98702 76457 /1844 230 6362 ( US Tollfree ) OR Email us at [email protected] . We shall be glad to assist you.

What are the other Data Science Courses offered by Edureka apart from this Course?

Other Data Science courses offered by Edureka are:

View course curriculum

Be future ready. Start learning

Structure your learning and get a certificate to prove it.

Trending Certification Courses

Trending Master Courses

Company

Work with us

Download App

Categories

© 2023 Brain4ce Education Solutions Pvt. Ltd. All rights Reserved. Terms & Conditions Legal & Privacy

"PMP®","PMI®", "PMI-ACP®" and "PMBOK®" are registered marks of the Project Management Institute, Inc. MongoDB®, Mongo and the leaf logo are the registered trademarks of MongoDB, Inc.

Drop us a Query

Available 24x7 for your queries

Call our advisor

Scroll Up