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Statistics and Data Science in R

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Certification

Statistics and Data Science in R

This course provides a simple but thorough introduction to Data Science and Statistics. It also includes real-life examples.

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Description

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Features

This course includes

Duration

9.7 hours
Video Content
9.7 hours
Level
Intermediate
Instruction Type
Self Paced
Delivery Method
Online
Available on
Mobile, Desktop, Laptop
Accessibility
Lifetime Access
Language
English
Subtitles
English

Careervira Take

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Course Credibility

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Pedagogy

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Hands-on training

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Career impact

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Pricing

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Assessment

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Skills

AnalyticsLinear RegressionProbabilityR ProgrammingStatistical AnalysisData ScienceData VisualizationData AnalysisData Structure

Learning Goals

Harness R and R packages to read, process and visualize data
Understand linear regression and use it confidently to build models
Understand the intricacies of all the different data structures in R
Use Linear regression in R to overcome the difficulties of LINEST() in Excel
Draw inferences from data and support them using tests of significance
Use descriptive statistics to perform a quick study of some data and present results

Course Content

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Prerequisites/Requirements

No prerequisites : We start from basics and cover everything you need to know We will be installing R and RStudio as part of the course and using it for most of the examples Excel is used for one of the examples and basic knowledge of excel is assumed

Target Audience

MBA graduates or business professionals who are looking to move to a heavily quantitative role
Engineers who want to understand basic statistics and lay a foundation for a career in Data Science
Analytics professionals who have mostly worked in Descriptive analytics and want to make the shift to being modelers or data scientists
Folks who've worked mostly with tools like Excel and want to learn how to use R for statistical analysis

Instructors

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Loony Corn

An ex-Google, Stanford and Flipkart team

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Course Overview

Case Studies, Instructor-Moderated Discussions

Post course interactions

Case-Based Learning

International faculty

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