Для кого этот курс: This course is part of the skills-based specialization “Applied Data Science with Python“ and is intended for learners who have basic python or programming background, and want to apply statistics, machine learning, information visualization, social network analysis, and text analysis techniques to gain new insight into data. Only minimal statistics background is expected, and the first course contains a refresh of these basic concepts. There are no geographic restrictions. Learners with a formal training in Computer Science but without formal training in data science will still find the skills they acquire in these courses valuable in their studies and careers.

Автор:   University of Michigan

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How To PassPass all graded assignments to complete the course.
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4.5 stars
Average User Rating 4.5See what learners said
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University of Michigan
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Оценка 4.5 из 5 по 1,441 отзывам

It was a great learning experience.

The video classes are informative and very clear. The exercises during the classes were thorough and allowed me to apprehend the concepts at a good pace. My only problem were the auto-graded exams. Sometimes the questions are not crystal clear and the auto-grader isn't intelligent enough to discern between a logical mistake and some detail about table formatting. Fortunately these problems are discussed in the forums and usually one can get clues on what they can be from the mentors.

A very challenging course. The assignments are the best part of the course and it takes up a lot of time and patience to complete them. The discussion forum is fairly engaging and the mentors are very responsive. Overall, this course is a big boost in the field of Data science

Excellent overview of the topic. Lectures are well delivered, if a bit terse. Assignments are well designed, and the mentors in the discussion forums are very helpful.