Core Concepts in Data Analysis

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6/10 stars
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Course Details

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FREE

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  • On demand

Course Provider

Coursera online courses
Coursera's online classes are designed to help students achieve mastery over course material. Some of the best professors in the world - like neurobiology professor and author Peggy Mason from the University of Chicago, and computer science professor and Folding@Home director Vijay Pande - will supplement your knowledge through video lectures. They will also provide challenging assessments, interactive exercises during each lesson, and the opportunity to use a mobile app to keep up with yo...
Coursera's online classes are designed to help students achieve mastery over course material. Some of the best professors in the world - like neurobiology professor and author Peggy Mason from the University of Chicago, and computer science professor and Folding@Home director Vijay Pande - will supplement your knowledge through video lectures. They will also provide challenging assessments, interactive exercises during each lesson, and the opportunity to use a mobile app to keep up with your coursework. Coursera also partners with the US State Department to create “learning hubs” around the world. Students can get internet access, take courses, and participate in weekly in-person study groups to make learning even more collaborative. Begin your journey into the mysteries of the human brain by taking courses in neuroscience. Learn how to navigate the data infrastructures that multinational corporations use when you discover the world of data analysis. Follow one of Coursera’s “Skill Tracks”. Or try any one of its more than 560 available courses to help you achieve your academic and professional goals.

Provider Subject Specialization
Humanities
Sciences & Technology
4715 reviews

Course Description

Learn both theory and application for basic methods that have been invented either for developing new concepts – principal components or clusters, or for finding interesting correlations – regression and classification. This is preceded by a thorough analysis of 1D and 2D data.
Reviews 6/10 stars
1 Review for Core Concepts in Data Analysis

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Bart olomeus profile image
Bart olomeus profile image
6/10 starsCompleted
  • 15 reviews
  • 13 completed
5 years, 3 months ago
I'm dropping this course after 5 weeks. There are good bits about this course, but you can probably read about those in other reviews. I'll focus on the bad bits. First of all, it does not make sense to follow this kind of quality course after the high quality courses "Data Analysis and Statistical Inference" on coursera and MIT's "Introduction to Probability" on Edx which cover similar topics, but in much greater depth and with much more rigour. I'm sure Boris Mirkin is very knowledgeable, but i.m.h.o. he lacks the educational skills. Sometimes the language he uses gets in the way. At other times he explains bits left and right without a clear route of understanding things with increasing complexity. There are times he does not explain why certain concepts exist or how they are used. The slides often contain too much text, numbers and formula's to be clear and informative. I found I had a better understanding when I skipped his lect... I'm dropping this course after 5 weeks. There are good bits about this course, but you can probably read about those in other reviews. I'll focus on the bad bits. First of all, it does not make sense to follow this kind of quality course after the high quality courses "Data Analysis and Statistical Inference" on coursera and MIT's "Introduction to Probability" on Edx which cover similar topics, but in much greater depth and with much more rigour. I'm sure Boris Mirkin is very knowledgeable, but i.m.h.o. he lacks the educational skills. Sometimes the language he uses gets in the way. At other times he explains bits left and right without a clear route of understanding things with increasing complexity. There are times he does not explain why certain concepts exist or how they are used. The slides often contain too much text, numbers and formula's to be clear and informative. I found I had a better understanding when I skipped his lectures and went straight to wikipedia or some other resource. Because of that, it irritated me that he used terms and definitions in a unique ways, so that I couldn't use wikipedia or online searches to study. If I look up Quetelet Index, all I get are references to BMI (Body Mass Index), but Boris uses that term for a general statistic. Another example is the use of "odds-ratio" that differs from its official definition. The programming assignments are quite easy. You can use any language or tool you like. You download a dataset and upload the answer within 5 minutes. When the answer is incorrect, you can download a new dataset and repeat until correct. The environment works. It's a bit specific about white space and punctuation. I do like the idea, but I would prefer to download from within the program using some API as some other programming courses offer. The quizzes are so so. You are asked to show you've understood the definitions and to calculate certain statistics. When doing the peer assessments, make sure to read the grading criteria, because the question does not always comply with them. I did the first run so there is room for improvement. Still I believe there are better ways to learn about the topics that are covered by this course.
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