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The lessons, assignments, feedback, and discussions were all informative. My organization is slowly embracing predictive analytics outside of our environmental concerns, so this course contributes directly to strengthening my r toolkit! More and more medical students are submitting systematic reviews and associated meta-analyses, to meet research exposure requirements, in the basic sciences programs of their medical school education, here in the caribbean. I learned a lot and enjoyed the format.

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This course will greatly contribute to my work as an environmental data scientist and division director. Thank you! There are many things i like about your educational product. Thanks, the course was very useful and was very clear and well explained, especially for a beginner like me! An excellent course.

I learned a lot and have even applied what ive learned in this course to the other course im enrolled in currently. I appreciated having access to archives of previous discussions. I am now confident that i can use r and continue learning on my own.

Brian marx is the best teacher i have had. As always it was a pleasure taking a course from professor indurkhya. I learned how to structure experiments to be able to isolate the effects that the input variables have on the response variable.

I appreciate all the work the instructor put into the course. I found the experience to be quite enjoyable and stress-free learning experience. This course will help me evaluate and code speech recognition tools and develop information extraction models. This course definitely adds another dimension to my map visualization capabilities other than just relying on qgis. Discussions initiated by other students were also very valuable - esp for pca and clusters instructor gave good, understandable answers on the board, and several nice summaries of topics we were covering.


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    I just completed another of your courses and yours is without question the best online educational resource available. Every professor has unique and great qualities in them and the unique and great quality that i found in prof anthony babinec is that he can write pages of explanation for each and every line in the book. Im really glad i took this course and will recommend it to others. Data scientist at veterans health administration office of research and development the instructor was nice and answered the questions on the discussion board clearly. I will continue looking for your support in my assignment.

    A lot of new and helpful material was added and contributed to a more advanced understanding of r programming professor john verzani is excellent. All of these pressures and inability to cope with academic deadlines, assignment and homework submissions lead to mental stress and destroys all the hardwork that students put in all through the academic year in keeping up with the unsurmountable coursework. Im looking forward using these concepts in my business pretty soon this class was very interesting and practical. Both the instructor and the teaching assistant were approachable, helpful, and knowledgeable about the subject matter, and provided constructive feedback about discussion board posts and assignment submissions. I didnt see before where i could use different methods to improve upon organizations.

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    Pay for assignments with secure payment methods like paypal. As someone without any real background in epidemiology, now moving into an area where i need it, this course was very helpful indeed. Also this course has given me valuable information about how to approach a risk analysis, and the software model assistant is very interesting i found it challenging but also a rewarding experience. I have already signed up for another course -- brian taras, environmental health scientist, center for disease control and prevention i like the format of those courses. Overall, i enjoyed the class and it was well worth the time spent.

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    After trying to learn meta-analysis from various texts (e. I found the course text easy to follow and the in text examples are a good way to test understanding of what you learn as you work through the text. The focus on programming and practical tips, as opposed to theoretical details, is also a great benefit. The course, introduction to r programming part two, taught by joris meys was excellent!all of the course materials were extremely helpful in allowing me not only to understand the details of r programming but also to gain a solid perspective on the fundamentals of r coding. I thought the course was well organized and i liked the selected readings and text by stephen few visualizing data interactively will be useful when performing any type of data analysis Homework answers online Canada Buy now

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    She is open to discussions, knowledgeable and willing to discuss topics. Likelihood estimation have surpassed all my expectations! The videos are excellent! The information is presented in a very clear and effective way. The real life examples and exercises covered during the course helped me to understand the various approaches and techniques presented. You include variety, such as the videos, the homework, the quizzes, the textbook, and the discussion board. I appreciated the text and will keep it for reference.

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    I am very happy that i took this course because i do not think it is possible to just read this kind of information without working with data to get a good understanding of these complex theories and methods. I would definitely take another class with dr. This is my fourth course that i have taken at statistics. I could write a book, i would want to do it this way. I feel like i have some basic concepts down and i am looking forward to taking more courses to keep developing my skills in this programming language.

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    Thank you! There are many things i like about your educational product. R to fit the models and how to interpret the r output! Great explanations provided by the course instructor in the videos and on the discussion board. I certainly feel that i got my moneys worth from this course and this was almost entirely due to the prompt, thoughtful and expert comments of brady and andrzej. I like the style and i will take more courses. The course provided me with a unique and much appreciated opportunity to learn much more about the technique, its underlying principles, and how to correctly apply the tool whenever evaluating a collection of primary studies.

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    After trying to learn meta-analysis from various texts (e. The course notes were very instructive and informative, and very easy to follow along. The instructor not only pointed out the right book for statisticians but also provided very useful lecture notes that helped a lot excellent course! Smith is very dedicated, always available to answer questions, and makes this online course feel almost face-to-face i was very anxious about taking this course. I have gotten so much education for relatively little expense. The feedback from assistant teachers was very helpful, and while i was mostly on target, it helped me see where i needed more help.

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    Just before i signed up for the first course, i had tried to work my way through a couple of different textbooks, and just could not get anything out of them. I learned a lot and am eager to practically apply these strategies. I now feel very confident making my choices and most importantly interpreting the outcomes. Ragsdale for a tremendous work and very insightful course. I dont believe that i have ever taken a program that more directly impacted my profession as quickly as this program has.

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