Introduction to Data Science

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7/10 stars
based on  42 reviews
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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
4724 reviews

Course Description

Join the data revolution. Companies are searching for data scientists. This specialized field demands multiple skills not easy to obtain through conventional curricula. Introduce yourself to the basics of data science and leave armed with practical experience extracting value from big data. #uwdatasci
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Reviews 7/10 stars
42 Reviews for Introduction to Data Science

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4/10 starsTaking Now
6 years, 5 months ago
This is the third coursera course I've taken. The other two - Machine Learning with Andrew Ng and Calculus:Single Variable - were excellent, so I had high expectations coming into this one. This course is very unorganized. The professor attempts to cover too much material yet also attempted to keep the prerequisites to a minimum. So we end up with a lot of very broad topics that are not detailed enough to serve as a decent introduction for those who have not seen the topic before, but also not in-depth or interesting enough to provide any new insights for those who have seen the material before. The lectures are slightly unorganized. The professor talks as though he were seeing the lecture slides for the first time, with frequent pauses to correct mistakes, or try to interpret what is on the slide. Also the homeworks were not really tied into the lectures. If you're looking to get into the field of data science, I recommend Machine L... This is the third coursera course I've taken. The other two - Machine Learning with Andrew Ng and Calculus:Single Variable - were excellent, so I had high expectations coming into this one. This course is very unorganized. The professor attempts to cover too much material yet also attempted to keep the prerequisites to a minimum. So we end up with a lot of very broad topics that are not detailed enough to serve as a decent introduction for those who have not seen the topic before, but also not in-depth or interesting enough to provide any new insights for those who have seen the material before. The lectures are slightly unorganized. The professor talks as though he were seeing the lecture slides for the first time, with frequent pauses to correct mistakes, or try to interpret what is on the slide. Also the homeworks were not really tied into the lectures. If you're looking to get into the field of data science, I recommend Machine Learning from Andrew Ng. In terms of getting an overview or introduction to data science you'd do better doing a google search.
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mushroom profile image
mushroom profile image
2/10 starsCompleted
  • 1 review
  • 1 completed
6 years, 4 months ago
Background: I am professional software engineer with some academic experience with machine learning and statistics. Positive aspects of the course: The map- reduce programming assignment was one of the highlights of the course. Although it was not challenging at all, the assignment did help explain the map-reduce model and required students to solve several simple problems using the model. Ignoring the ridiculous grading system, the open-ended Kaggle assignment was also great. I plan to return to Kaggle in the future and complete more contests. Negative aspects of the course: Compared to other online courses I have taken, the content in this course seemed to be particularly watered down. For example, the lectures on statistics mostly consisted of interesting anecdotes, rather than useful principles that can be applied in a variety of situations. Not much care was taken in preparing the lectures or assignments; there were numerous mis... Background: I am professional software engineer with some academic experience with machine learning and statistics. Positive aspects of the course: The map- reduce programming assignment was one of the highlights of the course. Although it was not challenging at all, the assignment did help explain the map-reduce model and required students to solve several simple problems using the model. Ignoring the ridiculous grading system, the open-ended Kaggle assignment was also great. I plan to return to Kaggle in the future and complete more contests. Negative aspects of the course: Compared to other online courses I have taken, the content in this course seemed to be particularly watered down. For example, the lectures on statistics mostly consisted of interesting anecdotes, rather than useful principles that can be applied in a variety of situations. Not much care was taken in preparing the lectures or assignments; there were numerous mistakes. The assignments were far too easy relative to other courses I have taken. Much more time was spent resolving various technical difficulties and working around mistakes made by the instructors than on actually completing the assignments. Programming skills were supposedly a prerequisite of the course, but all of the required programming tasks were trivial. The Tableau visualization assignment was also disastrous. The instructions for the assignment were not clear and the Tableau site did not function properly. The assignment also required students to download and register for proprietary software that only runs on Windows. For the most part, the actual assignment only consisted of copying visualizations that were given to you. Even though the assignment was extremely basic and required no skill, many students received grades that did not make sense because of the dysfunctional peer-review system. I would not recommend this course to someone else. For now, I would suggest taking courses on the various topics covered in the course (Machine Learning, Statistics, Software Engineering, NoSQL, etc.).
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Chris Fussell profile image
Chris Fussell profile image
8/10 starsTaking Now
  • 1 review
  • 0 completed
6 years, 5 months ago
I will begin by saying that the content of the course is exactly what I was hoping it would be: \- basic python coding for data analysis (I had to learn Python, which wasn't bad as I have been coding for 20+ years) \- a MapReduce introduction with a project in Python \- a NoSQL/big data introduction and optional project \- information visualization (we used a temporary license for the commercial product called Tableu) \- basics of machine learning \- basics of statistical analysis \- Kaggle.com competition site project (quite challenging and a bit of a disconnect from the material presented, but very interesting) I was particularly interested in the Kaggle portion of the course and the big data (project was on Amazon Web Services platform) portion but would like to have had more time focused on just these areas. The course did require of good deal of trolling the discussion forums and just figuring things out on your own. But I would... I will begin by saying that the content of the course is exactly what I was hoping it would be: \- basic python coding for data analysis (I had to learn Python, which wasn't bad as I have been coding for 20+ years) \- a MapReduce introduction with a project in Python \- a NoSQL/big data introduction and optional project \- information visualization (we used a temporary license for the commercial product called Tableu) \- basics of machine learning \- basics of statistical analysis \- Kaggle.com competition site project (quite challenging and a bit of a disconnect from the material presented, but very interesting) I was particularly interested in the Kaggle portion of the course and the big data (project was on Amazon Web Services platform) portion but would like to have had more time focused on just these areas. The course did require of good deal of trolling the discussion forums and just figuring things out on your own. But I would say that it is a good curriculum and course structure for learning about these interesting areas of data science. I would hope that the course will improve as it is offered in the future but I appreciate the effort that professor Howe put into the course and look forward to future course offerings from him and his group at UW. BTW, this was my first MOOC but based on this experience and the feedback I have found on coursetalk.org, I have already signed up for 3 more courses over the next 6 months.
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Student

10/10 starsCompleted
6 years, 4 months ago
Very committed instructor, actively monitoring the forum, adjusting lectures and assignments promptly to accomodate reasonable student feedback. Broad range of topics covered , but still with sufficient depth, versatile assigments well thought-out and tied in with lecture material. Technical glitches due to the broad range of technologies were addressed promptly.
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6/10 starsCompleted
6 years, 5 months ago
The class gave a broad overview to many topics. Often times the right balance was struck and the student is left with a good scope of whats done in the field and how. Cons: 1) Too often some material isn't backed up with an assignment to illustrate the principle. For example the no-sql lectures are forgettable, confusing and discontented 2) Many assignments aren't well articulated and require you to "sign up" for tools.
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4/10 starsTaking Now
6 years, 5 months ago
I thought the class started strong. The first two sets of assignments and lectures, although challenging and plagued with grading errors, were very informative. After that there seemed to be little interaction with any 'staff' and the students taking the class, it is as if they just gave up. Questions on assignments would be posted in the forums, up-voted by many, but very rarely was there a response. Simply monitoring the discussion board and answering questions with votes > 15 would have gone a long way in making this a better course.
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3/10 starsDropped
6 years, 5 months ago
The lectures didn't seem to cover what you were doing with the homework. I've taken other MOOC's and thought that they were more organized that this course. I'm hoping that they refine the course or its offered through another university as the topic is really interesting.
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Volodymyr Nepiuk profile image
Volodymyr Nepiuk profile image
2/10 starsDropped
  • 1 review
  • 0 completed
6 years, 5 months ago
I expected a lot from that course. But course turn to be extremely borring. They had too much mistakes everywhere in slides in homeworks etc. I hope coursera will have a much better courses at this theme.
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Duncan Murray profile image
Duncan Murray profile image
7/10 starsDropped
  • 25 reviews
  • 24 completed
6 years, 5 months ago
I really wanted this course to be great - it had a very wide range of topics, they supply a VM with all the software (had some issues though), and the lecturers had a lot of energy to make it interesting. The programming assignments I did were simple, but still interesting and great for 'wow factor' to people who hadn't done this before Reason I dropped this course was: a) could not get the VM to work with one library, after several of hours fault finding. This was needed to get one of the assignments done. b) was not really interested in some of the assignments (a bit too diverse - going from programming to reporting) c) I had 3 other courses on at the same time, so didn't really have the time to commit. I will retake this course the next time it is offered, but hopefully a couple of the topics could be trimmed, or maybe split into 2 courses (programming focus another on the BI focus)
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Student

6/10 starsTaking Now
6 years, 6 months ago
I am an experience Java developer without a background in the technologies covered in this course, aside from a little SQL. This course is extremely rough around the edges and I could rant about this at length but probably these problems will not affect any subsequent runs of the course to anywhere near the same extent. In terms of content, the course suffers from trying to be all things to all people. The prerequisites claimed you would need "basic programming" skills. There are many people who I'm guessing have just taken the MOOC equivalent of programming 101 complaining that the course is ridiculously hard. Meanwhile those of use already in the software development industry are frustrated by the overly simplistic assignments. I think there is a good course in here somewhere, but it's not the course we're getting right now
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5/10 starsTaking Now
6 years, 6 months ago
Poorly prepared, long winded, simplistic lectures that don't cover what's needed to do the homework. Bad audio in videos, numerous mistakes in lecture slides, poorly defined homework requirements. This course feels like beta software. Your best bet is that another student has figured out what they had in mind and can explain it in the forums. They need to fix this course before it can be recommended.
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Omar Degoli profile image
Omar Degoli profile image
8/10 starsTaking Now
  • 1 review
  • 0 completed
6 years, 6 months ago
The course has been running for just 3 weeks, but I totally love it! In the first assignment we learn to analize a livestream of data (twitter, in this case) and to me just this worths the effort of taking this course. this is not for beginners in programming, I can say, you need some familiarity with some programming languages, the assigments involving programming are in python, and my knowledge, I just attend two mooc on programing in python, was enough. you sould be familiar with database to, I'm not, and now I'm struggling with SQL queries...
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