departments, at an agreed location on request. Dates and prices for this service will need to be negotiated separately with the . For an application form, contact us by emailing: Full details of each course is provided at Annex 1. The Timetable is provided at Annex 2. Level 1 – No prior knowledge required Course Title* Length (days) Location Cost (£) Quality and Statistics 1 ONS Newport and Titchfield 116 Introduction to Questionnaire Design & Testing 1 ONS Newport and Titchfield ONS London 116 126 Administrative Data 1 ONS Newport and Titchfield 116 Data Linkage 1 ONS Titchfield ONS London 116 126 Sample Design & Estimation for Social Surveys 2 ONS Newport 206 Sample Design & Estimation for Business Surveys 2 ONS Newport 206 Population Statistics and the Census 1 ONS Titchfield 116 Editing & Imputation 1 ONS Newport 116 Introduction to National Accounts 1 ONS Newport 116 Statistical Disclosure Control 1 ONS Newport and Titchfield ONS London 116 126 Geography for Statistics 1 – GSS only 2 – ONS only ONS Newport and Titchfield 116/206 Seasonal Adjustment 1 ONS Newport 116 Index Numbers 1 ONS Newport 116 Data Visualisation 1 ONS Newport and Titchfield ONS London 116 126 Communicating Statistics 1 ONS Newport and Titchfield 116 * See Annex 1 for full details of all courses; See Annex 2 for timetable Level 2 - For those with a good working knowledge of the subject area Course Title* Length (days) Location Cost (£) Sample Design and Estimation for Social Surveys 1 ONS Newport 116 Sample Design and Estimation for Business Surveys 1 ONS Newport 116
Objectives By the end of the course, through a mixture of theory and the practical application of course participants will: gain an in-depth understanding of the theory underpinning seasonal adjustment (building on the Level 1 course) be able to perform more advanced seasonal adjustment be able to analyse their own time series Index Numbers Level – Level 2 Location - Newport Duration – 1.5 days Aims To introduce participants to: the theoretical background to index numbers index number techniques used in practice aspects of the Consumer Price Index (CPI) Objectives By the end of the course, participants will be able to understand: the definitions of value and value share Laspeyres and Paasche indices how to choose an index formula what domains and aggregation are the definitions of deflation, referencing and linking the aspects of the Consumer Prices Index (CPI) the wider uses of index numbers Hypothesis Testing Level – Level 2 Location – Newport and Titchfield Duration – 1 day Aims To give participants an overview of hypothesis testing and its application within Official Statistics Objectives By the end of the course, through the use of examples and theory, participants will gain:
1 day course - £116.00, 1.5 day course - £167.00, 2 day course - £206.00 The entry requirements for courses are: Level 1 courses do not require previous knowledge as they provide an introduction to a subject. Level 2 courses require the applicant to have a degree in Mathematics/Statistics or a good working knowledge of the subject. Course (September – December 2016) Level Newport Titchfield London Quality and Statistics L1 14/09/16 13/10/16 Administrative Data L1 20/09/16 10/11/16 Data Visualisation L1 22/09/16 Communicating Statistics L1 28/09/16 30/11/16 Data Linkage L1 29/09/16 20/11/16 Introduction to Questionnaire Design and Testing L1 05/10/16 24/11/16 Statistical Disclosure Control L1 06/10/16 06/12/16 Geography for Statistics L1 12&13/10/16 16&17/11/16 Introduction to National Accounts L1 12/10/16 Administrative Data L1 19/10/16 Sample Design and Estimation (Business) L1 02&03/11/16 Sample Design and Estimation (Social) L1 09&10/11/16 03/11/16 Quality and Statistics L1 16/11/16 Index Numbers L1 23/11/16 Geography (ONS 2 days – GSS 1 Day) L1 30&01/11/16 Editing & Imputation L1 01/12/16 Sample Design and Estimation (Social) L2 07/12/16 Seasonal Adjustment (Day 1 L1, Day 2 L2) L1/2 07&08/12/16 Population Statistics and the Census L1 29/09/16 Course (December 2016 – July 2017) Level Newport Titchfield London