Welcome to Week 1 of the Statistical Inference, part of the Coursera Data Science specialization from Johns Hopkins Biostatistics! This course presents the fundamentals of statistical inference that you will need throughout the rest of the Data Science track.
We believe that the key word in Data Science is "science". Our course track is focused on providing you with three things: (1) an introduction to the key ideas behind working with data in a scientific way that will produce new and reproducible insight, (2) an introduction to the tools that will allow you to execute on a data analytic strategy, from raw data in a database to a completed report with interactive graphics, and (3) on giving you plenty of hands on practice so you can learn the techniques for yourself.
This course represents the most fundamental and foundational component of the series. Using only a bare minimum of mathematics, we attempt to give students the fundamentals of using statistics to draw inferences about populations.
We are excited about the opportunity to attempt to scale Data Science education. We intend for the courses to be self contained, fast paced, and interactive. We intend to run them frequently to give people with busy schedules the opportunity to work on material at their own pace.
Please see the course syllabus for information about the quizes, the project, due dates, and grading. Don't forget to say hi on the message boards. The community developed around these courses is one of the best places to learn and the best things about taking a MOOC!
Brian Caffo and the Data Science Track Team
Hi all, welcome to Week 1 of the Statistical Inference class.
Please get the materials off of github. Also, make sure that you're keeping up with the videos and plan on taking the week 1 quiz.
Get those forums going; we're looking forward to seeing some really active posting!
Good luck and have a great week!
Brian Caffo and the Data Science Track Team
Welcome to Week 2 of Statistical Inference!
Make sure that you're keeping up with the videos and planning on taking the second quiz.
Keep those forums rocking.
Good luck and have a great week!
Brian Caffo and the Data Science Track Team
Welcome to Week 3 of Statistical Inference!
Make sure that you're keeping up with the videos and planning on taking the third quiz.
Keep up with the forums and if you get a chance, send us pull requests with changes for the notes.
Good luck and have a great week!
Brian Caffo and the Data Science Track Team
Welcome to Week 4 of Obtaining Data!
Make sure that you're keeping up with the videos and planning on taking the fourth quiz.
Keep up with the forums and if you get a chance, send us pull requests with changes for the notes.
Good luck and have a great week!
Brian Caffo and the Data Science Track Team
Congratulations on finishing the Statistical Inference!
We have set the grading and released the Statements of Accomplishment for the Course. It might take a few hours/days for the statements to be disbursed to accounts.
A couple of other notes:
- The course will begin again immediately starting in a couple of days. If you are still interested in keeping in touch with your fellow learners, please enroll in the new course and keep the conversation going. You may also be an invaluable resource for new course takers!
- Keep your eye on Hopkins offerings from Coursera. All announcements about future offerings will be posted at: https://twitter.com/jhubiostat and http://simplystatistics.org/, http://twitter.com/simplystats.
- If you liked this course, please consider taking some of the other course offerings through the Data Science Track. If you have completed all the course work in this track you now have the tools you will need to take on the challenges in the rest of our courses or in other Statistics, Data Science, or Machine Learning courses you may encounter.
Thanks again for all of your efforts during the course of the class and best of luck in your career!
Brian Caffo and the Data Science Track Team