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Kuhnrl30

Kuhnrl30
Basking Ridge, NJ
Accounting
Masters Degree

No courses found

Applied Data Science: An Introduction

Written 5 years ago
This is a very gentle into to data science. The pace is slow and easy to follow with a short into to R. If you have never used R before, this could be the place to start. On the other hand, if you have used it before or have a basic understanding of statistics, then you probably won't learn anything new here.
My rating
Kuhnrl30 completed this course, spending 1 hours a week on it and found the course difficulty to be very easy.

Data Mining with Weka

Written 4 years ago
This was a great introduction to Weka and machine learning. Prof Witten does a fine job of combining the 'how-to' with the 'why'.
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Kuhnrl30 completed this course.

The Data Scientist’s Toolbox

Written 4 years ago
My rating
Kuhnrl30 completed this course and found the course difficulty to be very easy.

Big Data applications and Analytics

Written 4 years ago
tl;dr: Like a textbook, there is a lot of information but zero engagement.

I started this course a few months ago and was not impressed. As I understand it, this is similar to the on-campus course at Indiana U and the lectures were made available for free. There is no certificate for completion. I gave it my level best effort to complete the course ended up dropping it a few months later after only getting to the 5th section. Here are my thoughts:

Pros:

The instructor did his research and there is a lot of material presented. He also aggregates information from many leading sources to give a comprehensive lecture. Prof. Fox's expertise is readily apparent.

Cons:

The presentation was disappointing. The course is presented using the sage-on-the-stage method where the instructor sat in front of a webcam and just started talking. I don't think there was much editing involved because the instructor has a regularly coughs throughout the lectures. While I can't fault him for having a cold, it is quite distracting and there's really no excuse for it in recorded lectures.

The course materials were not engaging. The lectures do not incorporate exercises or demonstrations to get the learner involved in the material. There are projects midway through the course but the learner will need to make the commitment to get there. The discussion group on Google+ is not active- there was more spam pots than course discussion. This is probably the biggest fault of the course is not have a moderator to clean the discussion boards and to lead the discussion. At last look, there were only 148 members to the group which hardly qualifies this course as a Massive Open Online Course (MOOC).
My rating
Kuhnrl30 is taking this course right now, spending 3 hours a week on it and found the course difficulty to be easy.

Regression Models

Written 4 years ago
My rating
Kuhnrl30 is taking this course right now.

Statistical Inference

Written 4 years ago
My rating
Kuhnrl30 completed this course.

The Analytics Edge

Written 4 years ago
My rating
Kuhnrl30 completed this course.

Explore Statistics with R

Written 4 years ago
My rating
Kuhnrl30 completed this course.

R Programming

Written 4 years ago
My rating
Kuhnrl30 completed this course.

Exploratory Data Analysis

Written 4 years ago
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Kuhnrl30 completed this course.

Getting and Cleaning Data

Written 4 years ago
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Kuhnrl30 completed this course.

Calculus One

Written 4 years ago
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Kuhnrl30 completed this course.

Reproducible Research

Written 4 years ago
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Kuhnrl30 completed this course.

Developing Data Products

Written 3 years ago
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Kuhnrl30 completed this course.

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