Statistical Services Centre

Applied Statistics at the University of Reading
...making sense of statistics

Distance Learning


From 2017 our e-learning courses will be run by an external company Statistics for Sustainable Development (SSD). For further information follow the link or email them at hello@stats4sd.org.

e-SMS - Statistics Made Simple Part 1


Dates: Next run to be announced

Duration: 5 weeks

Full Course Details


Overview:

Statistics Made Simple is an innovative online programme designed specially for those who are starting their research, or who are involved in development projects involving data collection and analysis. It is designed to give confidence to those who found previous statistics courses inaccessible or uninteresting.


Intended Audience:

The e-SMS course is designed for anyone who requires a foundation course in statistics for research, and who wants to study online. If your previous statistics course was (a) a long time ago; (b) more on theory and formulas than ideas and interpretation; or (c) taught without integrating the use of computers for statistical work, then this course is for you. Applicants must be competent in the use of the internet (e-mail, web browsing etc) and have some familiarity with the MS Excel spreadsheet (including some use of functions and formulas).

How You Will Benefit

The course will help prepare you for your research work, and will give you confidence in your use of statistics. You will gain key transferable skills in statistics, specifically in understanding, describing and quantifying variability. You will also learn to build and interpret simple statistical models using real datasets.

For more information, click here.

e-SMS - Statistics Made Simple Part 2


Dates: Next run to be announced

Duration: 5 weeks

Full Course Details


Overview:

Statistics Made Simple is an innovative online programme designed specially for those who are starting their research, or who are involved in development projects involving data collection and analysis. It is designed to give confidence to those who found previous statistics courses inaccessible or uninteresting.


Intended Audience:

The e-SMS programme is designed for anyone who requires a foundation course in statistics for research, and who wants to study online. e-SMS Part 2 is recommended for participants who have already completed e-SMS Part 1, as it builds on the concepts and examples introduced in the previous course. Applicants must be competent in the use of the internet (e-mail, web browsing etc) and have some familiarity with the MS Excel spreadsheet (including some use of functions and formulas).

How You Will Benefit

The course will help prepare you for your research work, and will give you confidence in your use of statistics. You will gain key transferable skills in statistics, specifically in understanding, describing and quantifying variability. You will also learn to build and interpret simple statistical models using real datasets.

For more information, click here.

e-CSPro - Data Management using CSPro


Dates: Next run to be announced

Duration: 5 weeks

Full Course Details


Overview:

This 5-week e-learning course will take you through the process of designing and implementing a data entry application for a typical survey. Participants will learn how to create the data dictionary, data entry screen and how to program checks and skips. The course then considers the data validation tools available including data comparisons and simple frequency tables. Finally, we show how data is stored in the system and how it can easily be exported for transfer to statistics packages such as SAS and STATA as well as to Excel.


Intended Audience:

This is an introductory course aimed at researchers, demographers, data managers and others who are considering using CSPro to implement survey data management systems. No previous experience of CSPro is required but participants are assumed to be comfortable with Windows based software. Participants should install CSPro prior to the course.

How You Will Benefit

You will gain an understanding of data structures, allowing you to design better data entry applications. You will also get an introduction to logic programming and an appreciation of the steps involved in ensuring data quality. Finally, you will leave the course with a comprehensive set of course materials including practical exercies, example data sets and video demonstrations, all of which can be accessed even after the course has ended.

For more information, click here.

e-SIAC: Statistics in Applied Climatology


Dates: Next run to be announced

Duration: 11 weeks

Full Course Details


Overview:

Statistics in Applied Climatology (SIAC) training courses give people working with climatic data the skills they need to use historical datasets effectively. With such skills, people can produce relevant, tailored outputs that, in turn, enable end-users to make better decisions.

The e-SIAC programme is an innovative, web-based, e-learning venture which has been developed to make the SIAC training more widely available - both to NMS (National Meteorological Service) staff, and to climatic data users in other sectors.


Intended Audience

E-SIAC is directed primarily - but not exclusively - towards climatic data users and producers in Africa.

Course Organisation

The course is divided into ten topics, each one of which is completed in a week. Assignments are set for each topic, and submitted online. A certificate is given to those who complete the course.

The work is part-time and can be done at times of the day to suit the convenience of the individual student. It takes an average of 8 hours per week. e-SIAC can be taken on its own or as a part of a broader SIAC programme that includes face-to-face training and applied work.

So they can spend time during the working week taking part in the training, prospective students should seek permission - and expect encouragement - from their employers.

For more information, click here

Page last updated: December 14 2017 12:24:30.

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