$54.99 | Created by Modeste Atsague | Last updated 8/2017
Duration: 1 h | Video: h264, 1280x720 | Audio: AAC, 48 KHz, 2 Ch | 153 MB
Genre: eLearning | Language: English + Sub | 12 lectures

What you'll learn

At the end of this Course, A student will be able to use Predictive analytics ( Decision tree , neural network or Logistic regression) to predict future outcomes. Some areas of application are the following: Actuarial Science, marketing, financial services, insurance, mobility, pharmaceuticals, healthcare, just to name a few

Requirements

The only prerequisite for this class is the willingness to learn and some basic knowledge of R but not necessary

Description

In this course, we cover two analytics techniques: Descriptive statistics and  Predictive analytics. For the predictive analytic, our main focus is the implementation of a logistic regression model a Decision tree and neural network. We well also see how to interpret our result, compute the prediction accuracy rate, then construct a confusion matrix .\n

By the end of this course , you will be able to effectively summarize your data , visualize your data , detect and eliminate missing values, predict futures outcomes using analytical techniques described above , construct a confusion matrix, import and export a data.

Who this course is for:

Anyone seeking a career as data scientist, data analyst , finance analyst, statistician , actuary, just to name few
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