Practical Predictive Analytics
Models and Methods
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Rating | 3.6★ based on 56 ratings |
---|---|
Length | 5 weeks |
Effort | 4 weeks of study, 6-8 hours/week |
Starts | Jun 26 (43 weeks ago) |
Cost | $79 |
From | University of Washington via Coursera |
Instructor | Bill Howe |
Download Videos | On all desktop and mobile devices |
Language | English |
Subjects | Data Science |
Tags | Data Science Data Analysis |
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What people are saying
way better than
The Spark courses from edX are way better than these.
I did not expected such poor course from a paid one; I have doen free courses way better than this course.
machine learning
Excellent conceptual teaching for people who already know the subject but need some more clarity on how to approach statistical tests and machine learning.
I recommend the Machine Learning Course (from Bill's colleagues) at University of Washington.
Not as thorough as Analytics Edge or Machine Learning (by Andrew Ng).
Excellent crash course in machine learning and introduction to the kaggle data science competitions.
Going from statistics to machine learning is something very awesome about this course Very nice assignments and content.
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peer review
I know that the submissions I peer reviewed were quite poor, but the grading criteria that we need to follow as reviewers is quite vague and not very thorough.
You also run the risk of getting a lesser grade than you deserve because your reviewer is incompetent, which is a bummer... At the moment the course has very few people taking it (the same people I peer reviewed, also reviewed me, which leads to me to believe that maybe only 3 or 4 people were taking this course during the November 2016 iteration).
For peer review detail evaluation guidelines is need.
I learnt a lot and peer reviewing other people assignments is a great learning opportunity .
Too little people participated and long peer review time.But the course content is good.
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data science
Otherwise, you might find it is just to show off how how complex and mysterious is the data science.
Maybe suitable for those who is alredy a scientist and just need to get some general sence of data science.
already know
This course will be a revision if you already know the concepts.
If you already know it, it would help you refresh the mind.
complete this course
Content is too easy I'll say the same about this class as the rest of the specialization, if you have the skills to complete this course then you don't need to take this course.
If you don't have the skills to complete this course, you will not complete this course.
Careers
An overview of related careers and their average salaries in the US. Bars indicate income percentile.
Statistical Technician $39k
Assistant Statistical Research Specialist $60k
Statistical Support Specialist $63k
Statistical Programmer Trainee $63k
Senior Statistical Data Analyst (part time) $69k
Assistant Supervisor Statistical Programmer Analyst $71k
Statistical Programmer/ Clinical SAS Programmer Contractor $82k
Statistical Accounting Analyst $89k
Staff Statistical Analyst $97k
Quality Engineer - Statistical Evaluation and Validation Manager $97k
Senior Statistical/Clinical Programmer $98k
Associate Principal Statistical Programmer $161k
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Rating | 3.6★ based on 56 ratings |
---|---|
Length | 5 weeks |
Effort | 4 weeks of study, 6-8 hours/week |
Starts | Jun 26 (43 weeks ago) |
Cost | $79 |
From | University of Washington via Coursera |
Instructor | Bill Howe |
Download Videos | On all desktop and mobile devices |
Language | English |
Subjects | Data Science |
Tags | Data Science Data Analysis |
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