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Statistics Essentials for Analytics

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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.
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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

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No Cost EMI starts at 1,799 / month View more
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Financing Options
Financing options available without any credit/debit card. The interest amount will be discounted from the price of the course and will be borne by Edureka. You will be charged the course price minus the interest. Click on View More to avail. Conditions Apply.
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

Curriculum

Understanding the Data

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Course Description

About The Course

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Certification

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

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
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Deepika
The modules were presented well, and the pace was good, not being too fast, or slow. Overall, the ma ... Read More
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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
Raghava BeeragudemSenior Big Data Consultant at Clarity Solution Group
I have taken 3 courses (Hadoop development, Python and Spark) in last one year. It was an excellent ... Read More
Somasekhar BollineniAIX Administrator at IBM Global Services
I really had overwhelming experience with edureka. I was looking for class room training for AWS cou ... Read More

Projects

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

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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.
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