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Microcredential

Data Science

Johns Hopkins University via Coursera Specialization

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Overview

Ask the right questions, manipulate data sets, and create visualizations to communicate results. This Specialization covers the concepts and tools you'll need throughout the entire data science pipeline, from asking the right kinds of questions to making inferences and publishing results. In the final Capstone Project, you’ll apply the skills learned by building a data product using real-world data. At completion, students will have a portfolio demonstrating their mastery of the material.

Courses

Taught by

Brian Caffo, PhD, Jeff Leek, PhD and Roger D. Peng, PhD

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Reviews for Coursera's Data Science Based on 10 reviews

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  • 3 star 10%
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Dave H
by Dave this course, spending 15 hours a week on it.
Coursera Data Science Specialization (John Hopkins Universitu) Successfully completing the inaugural capstone for the JHU/Coursera data science track was a thrill for me. The timing for the first track couldn't have been better, as at the time I was using MOOC's to shore up what I was learning in parallel...
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Anonymous
Anonymous this course, spending 6 hours a week on it.
Great for folks new to computer science, data science, coding! The courses are great. There's videos and resources for learning, quizzes to make sure you're retaining information, and at least one assignment demonstrating your learning per course. The courses are about a month long with deadlines for...
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W.dijkhuis W
by W.dijkhuis this course.
Good intro to data science for the well prepared Suppose you: - have programming experience (preferably C, C++, C# or Java ) - have a solid knowledge of the basics of statistics (descriptive and inferential). then this specialization is a great introduction to data science. The specialization "teaches"...
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Anonymous
Anonymous this course, spending 6 hours a week on it.
An entry course that opens up your data science career

I strongly recommend this course to anyone who has taken statistics/economics/data analysis courses at college and would like to get some training in big-data analysis. My training background is Economics which contains substantial data-analysis training with economic data. I would say I benefit substantially from the machine learning course in this track. I realize that the econometric models such as linear regression/binary-choice models are only part of the machine learning techniques, while it comes to analyzing big datasets, other methods such as decision tree and SVM models are commonly used as well. This specialization track also helps to brush up my data analyzing skills and applications to a broader, larger dataset. Eventually, it helps me transit my career from an economics researcher to a data scientist in a bay area tech company.
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Anonymous
Anonymous this course, spending 8 hours a week on it.
Great introductory Data Science course

This course covers all the major aspects of the Data Science field. The instructors are reasonably good. However, some of the statistics aspects will be easier if you have some basic knowledge. (I took a basic stats course before this series to refresh my memory.) The exercises and projects are both pretty easy. The grading system makes it easy to achieve high scores. If you really want to learn more, then I would recommend going beyond what are mentioned as minimum requirements for the projects. The Capstone project was also very interesting and relevant to current industry trends.

I'm not sure if this course alone will get you ready for a job in Data Science. You may need some prior background or some further work (in terms of projects) to land a job.
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Anonymous
Anonymous this course.
Informative and Valuable course with great resources

This course is a great introduction to data science and related disciplines like analytics, statistics, machine learning etc.

Stats and R programming can be challenging for those who do not have a stats or programming background. All in all, this was a very informative learning experience.
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Anonymous
Anonymous this course, spending 10 hours a week on it.
Very good certificate for starting a career in Data Science

I think this certificate is a very good way of starting a career in Data Science. It covers all the themes you need for developing in R with statistical knowledge. It also has more lectures for curious people. The coursera staff is always helping and the platform is amazing.
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Anonymous
Anonymous this course.
4 stars all around

I learned what I needed to know to manage and hire data scientists and coordinate well with statisticians. I might have completed the series (only skipped the capstone) if the capstone had been a project more related to my work (mapping).
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Anonymous
Anonymous this course, spending 5 hours a week on it.
interesting capstone

The capstone project is good experience to apply the basics of data science and machine learning. The courses covered the major topics of statistics along with R programming.
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Anonymous
Anonymous this course.


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