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Machine Learning and Statistical Modeling with R Examples (Udemy.com)

Learn how to use machine learning algorithms and statistical modeling for clustering, decision trees, etc by using R

4.2
185 reviews

Created by: R-Tutorials Training

Last updated September 2016

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What you will learn

  • understand the most common principles of machine learning and statistical modeling
  • perform machine learning tasks in R
  • understand which machine learning tool is suitable for a given problem
  • know what machine learning can do
  • implement machine learning and statistical modeling in your work

How it compares

Against the other 155 rated Udemy courses in Machine Learning on CourseDuck:

  • Rating4.2 out of 5higher than 28% of them
  • Reviews185#104 of 156 by number of reviews
  • Length2.4 hoursshorter than 83% of them
  • Last updatedSeptember 2016earlier than 98% of them

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Quality Score

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Overall Score : 84 / 100

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Course Description

See things in your data that no one else can see and make the right decisions!
Due to modern technology and the internet, the amount of available data grows substantially from day to day. Successful companies know that. And they also know that seeing the patterns in the data gives them an edge on increasingly competitive markets. Proper understanding and training in Machine Learning and Statistical Modeling will give you the power to identify those patterns. This can make you an invaluable asset for your company/institution and can boost your career!
Marketing companies use Machine Learning to identify potential customers and how to best present products.
Scientists use Machine Learning to capture new insights in nearly any given field ranging from psychology to physics and computer sciences.
IT companies use Machine Learning to create new search tools or cutting edge mobile apps.
Insurance companies, banks and investment funds use Machine Learning to make the right financial decisions or even use it for algorithmic trading.
Consulting companies use Machine Learning to help their customers on decision making.
Artificial intelligence would not be possible without those modeling tools.
Basically we already live in a world that is heavily influenced by Machine Learning algorithms.
1. But what exactly is Machine Learning?
Machine learning is a collection of modern statistical methods for various applications. Those methods have one thing in common: they try to create a model based on underlying (training) data to predict outcomes on new data you feed into the model. A test dataset is used to see how accurate the model works. Basically Machine learning is the same as Statistical Modeling.
2. Is it hard to understand and learn those methods?
Unfortunately the learning materials about Machine Learning tend to be quite technical and need tons of prior knowledge to be understood.
With this course it is my main goal to make understanding those tools as intuitive and simple as possible.
While you need some knowledge in statistics and statistical programming, the course is meant for people without a major in a quantitative field like math or statistics. Basically anybody dealing with data on a regular basis can benefit from this course.
3. How is the course structured?
For a better learning success, each section has a theory part, a practice part where I will show you an example in R and at last every section is enforced with exercises. You can download the code pdf of every section to try the presented code on your own.
4. So how do I prepare best to benefit from that course?
It depends on your prior knowledge. But as a rule of thumb you should know how to handle standard tasks in R (courses R Basics and R Level 1). You should also know the basics of modeling and statistics and how to implement that in R (Statistics in R course).
For special offers and combinations just check out the r-tutorials webpage which you can find below the instructor profile.
What R you waiting for?
Martin Who this course is for:
  • You should take this course if you are interested in statistics and analytics
  • You should take this course if you want to use R to solve modeling problems
  • You should take this course if you encounter problems that need more complex statistical solutions
  • You should take this course if you want to enlarge your analytics toolbox
Read More Intermediate Intermediate Level product length iconTime: 2.4h

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Instructor Details

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R-Tutorials is your provider of choice when it comes to analytics training courses! Try it out our 100,000+ students love it.
We focus on Data Science tutorials. Offering several R courses for every skill level, we are among Udemy's top R training provider. On top of that courses on Tableau, Excel and a Data Science career guide are available.
All of our courses contain exercises to give you the opportunity to try out the material on your own. You will also get downloadable script pdfs to recap the lessons.
The courses are taught by our main instructor Martin trained biostatistician and enthusiastic data scientist / R user.
Should you have any questions, you are invited to check out our website, you can open a discussion in the course or you can simply drop us a pm.
We are here to help you boost your career with analytics training Just learn and enjoy.

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Reviews

4.2

185 ratings on Udemy

Select a bar to show only those reviews.Select the bar again to show every rating.

Write a review

By Joan Ricket

Course gave help in understanding the basics of machine learning. I think it is a good tutorial for beginners on the matter.

By Cornelius Hubbard

easy2follow

By Paul Henley

So interesting material - Now I need to think about implementing this into my research!

Course has excellent video/audio

By Donovan Wright

Excellent and comprehensive detail of all tools used in ML.

By George Silver

Very very good course! it sealed my understanding..

By Matias De La Barra Aguirre

Great step by step explanation.

By Leon Li

Thank you so much!

By Steve Roughton

The people that wrote these packages built them to solve logical problems and make competent predictions. Undoubtably, this required much labor from many multi-talented people, so to gain this knowledge is something very valuable.

By Aditya

Good explanation of topics.

By Richard Smart

seems like a nice, specific intro with already some further reading opportunities available. I like the summary of the techniques and the packages very much.

By Sanjana Kumar

Not helpful at all. A complete waste of my time.

By Daniel Cazzaniga

Very helpful. Quick, and in-depth.

Showing 12 of 37 reviews

Machine Learning and Statistical Modeling with R Examples
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  • Video Duration: icon 2.4h
  • Price: $29.99
  • Provider: icon Udemy
  • Updated: icon September 2016
  • Level: Intermediate Intermediate
  • Language: icon English
  • Certificate: icon Yes
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