subject
Intro

Making Sense of Data

 with  Joe Hellerstein and Amit Deutsch
Do you work with surveys, demographic information, evaluation data, test scores, or observation data? Are you interested in making the data you collect more useful by organizing it, analyzing it, and applying it in different ways?

This self-paced, online course is intended for anyone who wants to learn more about how to structure, visualize, and manipulate data. This includes student, educators, researchers, journalists, and small business owners.
9 Student
reviews
Cost Free Online Course
Pace Finished
Subject Data Science
Institution Google
Provider Independent
Language English
Calendar 3 weeks long
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What are MOOCs?
MOOCs stand for Massive Open Online Courses. These are free online courses from universities around the world (eg. Stanford Harvard MIT) offered to anyone with an internet connection.
How do I register?
To register for a course, click on "Go to Class" button on the course page. This will take you to the providers website where you can register for the course.
How do these MOOCs or free online courses work?
MOOCs are designed for an online audience, teaching primarily through short (5-20 min.) pre recorded video lectures, that you watch on weekly schedule when convenient for you.  They also have student discussion forums, homework/assignments, and online quizzes or exams.

9 reviews for Making Sense of Data

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1 out of 1 people found the following review useful
3 years ago
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Maris Ozols partially completed this course, spending 4 hours a week on it and found the course difficulty to be easy.
I've completed every part except for the final project, which will not be available until March (actually I think that was March 2014, and the final activity can no longer be done :( - this is a bit disappointing!) There were a few glitches - the geocode for the map would not work on my copy of the tables (but they did Read More
I've completed every part except for the final project, which will not be available until March (actually I think that was March 2014, and the final activity can no longer be done :( - this is a bit disappointing!) There were a few glitches - the geocode for the map would not work on my copy of the tables (but they did provide a link to their table for which it worked). The activity first approach is mostly ok, but sometimes you find you are successfully getting their answers without learning the exact skills they've asked for - it would be good if they added some screen shots to let you calibrate, esp. if one is going from activity to activity. Although correlation does not imply correlation, I think more on that would have been useful. Overall it was probably too easy for me. It was also a bit too much an ad/intro to Fusion tables - but I think one is warned enough of that in the beginning.

This is my first ever MOOC. I deliberately took a short one (did this in 3 sessions in 3 days) and enjoyed it ok.
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3 out of 3 people found the following review useful
3 years ago
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Santosh Goteti completed this course, spending 1 hours a week on it and found the course difficulty to be easy.
This is a very short beginner level course about data analysis using Google's Fusion Tables. It consists of a final project where you perform data analysis on your own data which I feel is the best thing about this course.
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3 out of 3 people found the following review useful
3 years ago
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Manoj is taking this course right now, spending 4 hours a week on it and found the course difficulty to be medium.
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1 out of 1 people found the following review useful
3 years ago
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Tadeush completed this course, spending 5 hours a week on it and found the course difficulty to be medium.
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3 years ago
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Huy completed this course, spending 2 hours a week on it and found the course difficulty to be very easy.
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3 years ago
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Helen is taking this course right now.
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2 years ago
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Horace completed this course.
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2 years ago
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Sum Yee Lai completed this course, spending 1 hours a week on it and found the course difficulty to be very easy.
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