Introduction to Data - Online

Location: Online
CPD: 6.0 hours
RSS Training
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Level: Foundation (F)


This online course is to help participants understand some basic statistical concepts. The course will introduce concepts such as hypothesis testing and confidence interval estimation. It will provide the tools to undertake simple analysis of a dataset and will include some helpful hints and tips for reading and understanding reported statistics.

Please note: Once payment has been successful, our training team will be in touch to confirm your start date.
 

Level: Foundation (F)


This online course is to help participants understand some basic statistical concepts. The course will introduce concepts such as hypothesis testing and confidence interval estimation. It will provide the tools to undertake simple analysis of a dataset and will include some helpful hints and tips for reading and understanding reported statistics. 


Topics Covered

  • Introduction to data
  • Summarising numerical data
  • Sampling
  • Normal distribution
  • Confidence intervals
  • Summarising categorical data
  • Hypothesis testing


Target Audience

This course is aimed at those who have never undertaken a formal statistics course. It is ideal for statistical novices who have never had any formal training but are starting to encounter statistics in their work and wish to gain some insight.

 

Dr Jenny Freeman

Jenny Freeman manages the Maths and Statistics Resource Centre at the University of Sheffield and has over 15 years of experience of teaching statistics, particularly to beginners. Prior to this she was an associate professor of Biostatistics at the University of Leeds and a senior lecturer at the University of Sheffield. For her PhD she was involved in producing growth reference centiles for UK children. Her current role stems from a longstanding interest in how students learn statistics and understand the core concepts. She is especially interested in the communication of statistics to non-statisticians and the way in which data/information/statistics are displayed. She is the recipient of two Senate awards from the University for the excellence of her approach to learning and teaching and the first winner of the Keith Boddy Prize for best educational paper in the journal ‘Scope’.

 

Fees

   

 

 

 

 


Non Member 

RSS Fellow 

RSS CStat/Gradstat/Data Analyst 
also MIS & FIS                      

 

£341.00+vat 

£285.00+vat 

£267.00+vat

 

 

 

Group discounts are also available*:


3-5 people

6-8 people

9+ people
*Discount only applies to non-member price

 


10% discount

15% discount

20% discount

 
 
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