Udemy

Predictive Analytics With R

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  • 350 Students
  • Updated 2/2016
3.8
(74 Ratings)
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Course Information

Registration period
Year-round Recruitment
Course Level
Study Mode
Duration
4 Hour(s) 13 Minute(s)
Language
English
Taught by
Easylearning guru
Rating
3.8
(74 Ratings)

Course Overview

Predictive Analytics With R

Enhance you analytics by Predictive Analytcis with R. Become an Analyst with easy programming code of R.

In this course you will learn about predictive
analytics using R language


  • It starts with an introduction to the predictive modelling along with its application.
  • Also you learn about R and and how R is used for Predictive modelling
  • You will also design statistical experiments and analyze the results using modern methods
  • You will also learn Data manipulation methods and predictive Modelling techniques in R.
  • Collectively, this course will help you internalize a core set of practical and effective predictive analytics methods and concepts, and apply them to solve some real world problems.
  • This course contains lectures as videos along with the hands-on implementation of the concepts, additional assignments are also provided in the last section for your self-practice.

Course Content

  • 7 section(s)
  • 44 lecture(s)
  • Section 1 Introduction
  • Section 2 Introduction to predictive modelling
  • Section 3 Introduction to R
  • Section 4 Basic Statistics in R
  • Section 5 Data Manipulation in R
  • Section 6 Predictive Modelling Techniques
  • Section 7 Regression

What You’ll Learn

  • Understand the fundamentals of Predictive Analytics in R., Enhance skills by applying them to Model Data., Get accustom to Predictive Analytics as career option with practical knowledge on some of the techniques that are currently in demand, such as Hypothesis Testing, Linear Regression, Multiple Regression, Logistic Regression, Correlations, Chi-Square Test etc., Use Predictive Modelling Techniques on different types of data., Work with different types of data and perform Data Manipulation and Preparation., Develop constructive approach to solve business queries with R., Analyze real time data and perform learnt skills.

Reviews

  • J
    Jemael Nzihou
    4.5

    This has been a very practical course with R. I apply this to my project and has helped me tremendously, especially section 6: predictive modeling techniques.

  • S
    Sandra Patricia Barreto
    4.5

    An excellent explanations

  • A
    Anushree Sawant
    1.0

    It was not at all what I expected, instructor and video overall was not engaging and not much informative not worth spending this much amount on this course

  • A
    Anu Mary Chacko
    4.0

    Good, Suggestions to add a little more on the conceptual part

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