Online Statistics courseOn-line statistics course
Up to 10 online short courses in statistics from UK University
Complete online self-study provides working people with the necessary temporal flexibilty to reconcile work and university. Utilizing the latest advances in communications technologies, online mastering opens the way to new businesses by creating student networking with shared objectives. Distance learning provides lower enrolment dues, while maintaining the same level of teaching excellence and integration as Master's courses oncushion.
Correspondence or online teaching is a form of teaching that allows the student to spend most or all of a course without participating in a campus-based school. Spacing can relate to both materials and interactions. Correspondence offers entry to education when the information resource and the learner are separate by both or both of them.
Throughout this kind of course, the student communicates with the school and other student via email, online discussion groups, video conferencing, chats, pin walls, IM and other types of computer-based interact. Programs often contain an online educational system and a tool for creating a cyberroom. Study rates for correspondence courses differ from establishment to establishment and state.
Correspondence is also a good option for those who already have a career and want or need further training.
Statistic & Probability | Free Online Courses & MOCs
The PCA via Coursera 3-5 lessons per week, 4 consecutive 4 weekly lessons 3-5 lessons per week, 4 consecutive weeks6 August 2018Not rated yet.
? ? long ???????? ? via Coursera 3-5 lessons per week, 5 consecutive periods 3-5 lessons per week, 5 consecutive weeks6. August 2018No press comment. ?????? ?????? ?????????? (Mathematische Methoden in der Psychologie: Grundlagen der Anwendung) via Coursera 10-12 lessons per Week, 8 whole Wochen lang 10-12 lessons per Woche, 8 Wochen lang6. August 2018No press comment.
Dynamics of Social Behavior via Coursera 2-3 lessons per weeks, 6 consecutive periods 2-3 lessons per week, 6 consecutive weeks13 August 2018Not rated yet.
2-4 hrs per week, 4 hrs per 4 hrs 2-4 hrs per week, 4 hrs long14 August 2018 Still no comment. Likelihood and statistics:
Statistic modeling and regression analysis over edX 8-10 hrs per week, 14 hrs long 8-10 hrs per week, 14 hrs long20 Aug 2018Not reviewed. Statistical process over Coursera 6-8 h perwee, for 9 wks 6-8 h perwee, for 9 weeks20 August 2018Not rated yet.
ESTATIStica não-paramétrica parámétrica par a tomada de decisão via Coursera 5 lessons per week, 4 consecutive 4 weekly 4 weekly 5 lessons20 August 2018Not rated yet. Aéatoire: une introduction ou les probabilities - Game 2 - via Coursera - 6 Wochen lang - 6 Wochen lang20. August 2018Noch keine Rezensionen.
Bayes statistics: Time-series analysis over edX 8-10 hrs per week, 15 hrs long 8-10 hrs per week, 15 hrs long20 August 2018Not rated yet.
Social Science Methodology and Statistics - Final Project on Coursera 4-8 lessons per Week, 8 weekly for 4-8 lessons per week, 8 weekly for27 August 2018Not reviewed yet. Review of Stanford OpenEdxSelf pacedNo has not yet been added. Likelihood and stats about Stanford OpenEdxSelf pacedNo Ratings yet.
Policiy Analysis Using Interrupted Time Series via eedX 6-10 hrs per wk, 5 wks long 6-10 hrs per wk, 5 wks longSelf pacedNo reviews yet. ÿ Basic principals, statistical and computational tools for reproducible science over 3-8 hrs per week, 8 hrs long 3-8 hrs per week, 8 hrs longSelf pacedNo review yet.
Introduction statistics: Analysis of data using graphs and statistics over 2 to 3 hrs per wk, for 4 wks, 2-3 hrs per wk, for 4 weeksSelf pacedNo ratings not yet.
Deployment models & Continuous Random Variables over 4-6 hrs per weekly, 6 hrs long 4-6 hrs per weekly, 6 hrs longSelf pacedNo review yet. Fundamental Concepts & Discrete Random Variables over 4-6 hrs per wk, 6 wks long 4-6 hrs per wk, 6 wks longSelf pacedNo review yet.