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Data Science is a Sequence of Courses for anyone interested to learn to be a Data Scientist and Apply the Skills in a Capstone Project by Johns Hopkins University on Cousera.
InstructorsBrian Caffo (Professor), Jeff Leek (Assistant Professor), Roger D. Peng (Associate Professor)
Note: Available dates are from September 1st - November 3rd, 2014 for the first Capstone
Incentives and BenefitsAt completion, students will have a portfolio demonstrating their mastery of the material. The top 10 students for the capstone will get the chance to video-conference with instructors and ask them questions. In addition, top students will be profiled on the Simply Statistics Blog, a widely read data science blog.
Learning Objective- Formulate context-relevant questions and hypotheses to drive data scientific research- Identify, obtain, and transform a data set to make it suitable for the production of statistical evidence communicated in written form- Build models based on new data types, experimental design, and statistical inference
9 Courses + 1 Capstone project1. The Data Scientist’s Toolbox2. R Programming3. Getting and Cleaning Data4. Exploratory Data Analysis5. Reproducible Research6. Statistical Inference7. Regression Models8. Practical Machine Learning9. Developing Data Products10. Data Science Capstone
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. The Specialization concludes with a Capstone project that allows you to apply the skills you've learned throughout the courses.
Recommended Background- Some programming experience (in any language)- Working knowledge of mathematics up to algebra (neither calculus or linear algebra are required)
Payment Options include1. Pay for Full Access
Commit today and pay for the whole Specialization. Get unlimited retries for all courses in this Specialization for two years.
$49 each × 9 courses + $49 Capstoneproject = $490 Specialization Certificate
2. Pay as you go
Pay for each course when you start it. If you don't pass a course, you'll get a second chance free.
$49 for each course and the Capstone
3. Apply for financial Aid at the bottom of payment page.
InstitutionJohns Hopkins UniversityThe mission of The Johns Hopkins University is to educate its students and cultivate their capacity for life-long learning, to foster independent and original research, and to bring the benefits of discovery to the world.
FAQsQ: What is a Specialization?A Specialization is a group of related courses designed to help you deepen your expertise in a subject. You will earn a Specialization Certificate when you successfully earn a Verified Certificate for each course in a Specialization.
Q: How do I complete a Specialization?To complete a Specialization, you must earn a Verified Certificate for every course in the Specialization and complete the Capstone Project. You earn a Verified Certificate by joining and completing the Signature Track for each course in the Specialization. The Capstone Project is available after you’ve completed all courses in the Specialization.
Q: What is Signature Track? What is a Verified Certificate?Joining a course's Signature Track lets you securely link your coursework to your identity i.e., it proves that you - and only you - did all the work. There’s no extra coursework required in Signature Track. You'll receive a Verified Certificate issued by Coursera and the participating university when you complete the course.
Q: How many times can I attempt a course in a Specialization?You can re-attempt the course when it is offered again by the instructor and university. Although we cannot guarantee course repeats, many courses are offered multiple times per year.
Q: What is the Capstone Project?A Capstone Project is an assignment that serves as a way for students to demonstrate the knowledge they’ve acquired in a Specialization to an applied project. Every Specialization has a Capstone Project.
Q: What is a Specialization Certificate?A Specialization Certificate is an electronic document issued by the participating school and Coursera that demonstrates you’ve successfully completed a group of related courses (plus a Capstone Project) in a specific subject. It also links your accomplishment to your real identity with Signature Track.
Q: How do I pay for the Specialization?There are two payment options. You can pay for the whole Specialization and get unlimited access to the courses for two years (available only when there are upcoming sessions for all courses in this Specialization). You can also pay individually for each course as you progress.
Q: Can I take the courses for free?Yes. However, you will not be eligible for a Verified Certificate in the course, the Specialization Certificate or taking the Capstone Project unless you participate in Signature Track. To enroll for free, visit the course pages by clicking the course titles in the Courses section.
Q: Can I get financial aid?We offer Coursera Financial Aid for students with demonstrated economic need. Learn more about applying and the requirements in the Signature Track Guidebook.
Q: Do I have to take these courses in a particular order?Students should begin by taking The Data Scientist's Toolbox and Introduction to R Programming in order. The other courses may be taken in any order, and in parallel if desired.
Q: What should I read to prepare for this course series?To get a sense of the field of data science, we recommend reading the following web sites:Simply Statistics (http://simplystatistics.org)R-bloggers (http://www.r-bloggers.com)DataTau (http://www.datatau.com)KD Nuggets (http://www.kdnuggets.com)Revolutions (http://blog.revolutionanalytics.com/statistics)
Q: Can I take other courses outside the Specialization, in place of any of these courses?Students can take Computing for Data Analysis in place of R programming (A Specialization class). Students can take Mathematical Biostatistics Bootcamp Part 1 OR Mathematical Biostatistics Bootcamp Part 2 in place of Statistical Inference (A Specialization class).
NOTE Class has started for september come on quickly... ALL YOU NEED IS INTEREST Awaiting your
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