Doctoral learners sometimes ask me how they can learn about Statistics - which can be very helpful to one's career - please see my prior blog on choosing a quantitative research study versus a qualitative one. Of course, as doctoral learners, you are self-motivated, but you want the convenience of self-study on your time, and at a low cost. If this describes you, then the open learning initiative's free and open courses on statistics might serve you well! It is free and fast to sign up! The free course that I "test drove" is called "Probability and Statistics" and offers quite good instruction on probability, and inferential and descriptive statistics. If you try it out, please be sure to comment here on your experience with it!
http://oli.web.cmu.edu/openlearning/
Open & Free Course | Academic course | |
Course Materials | X | X |
Simulations, Computer Based Tutors, Virtual Laboratories, and Self-Assessments | X | X |
Formative Feedback for Students | X | X |
Access to an Instructor | X | |
Graded Exams | X | |
Tracks Student-Learning as Feedback for Instructors | X | |
Credit / Verification of Course Completion | X |
Source: http://oli.web.cmu.edu/openlearning/forstudents
Daniel J. Smith, MA, MBA, PhD
480-861-8851 (cell)
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