RSC CALABARZON approves the 2023 Statistical Training Programs
Release-Date
Reference-Number
2023-0400-PR02
Regional Statistics Committee (RSC) IV-A (CALABARZON) approves the 2023 Statistical Training Programs for the statistical workforce in the CALABARZON Regional Statistical System (RSS) during its 1st Quarterly Meeting held on February 02 via videoconferencing. The approved 2023 Statistical Training Programs for the statistical personnel in the CALABARZON RSS are listed below, as follows: Title of Activity Schedule of Conduct Mode of Conduct Target Participants Trainer Source of Fund Technical Session on the Compilation of Water Accounts February 8-10 Hybrid TWG-ENRA PSA PSA RSSO IV-A Training on Tracking the SDG Progress 1st Quarter 2023 Hybrid RLAs, LGUs PSA PSA RSSO IV-A Training on Framework for the Development of Environment Statistics (FDES) May 8-12 Hybrid TWG-ENRA PSA PSA RSSO IV-A Training on Statistics and Effective Presentation of Statistical Reports 3rd Quarter 2023 Hybrid RLAs, LGUs, SUCs UPLB INSTAT /PSA PSA RSSO IV-A Training on Statistical Standards and Classification Systems 4th Quarter 2023 Hybrid RLAs, LGUs PSA PSA RSSO IV-A Training on Microsoft Excel for Database Management 4th Quarter 2023 Hybrid RLAs, LGUs, SUCs UPLB INSTAT /PSA PSA RSSO IV-A Complimentary Training Course on Data Visualization Using Infographics for the RSC October 3-5 Face-to-Face RSC Members (maximum of 30 participants) Philippine Statistical Research and Training Institute (PSRTI) PSRTI, PSA RSSO IV-A Microsoft Excel for Database Management April 25 – 28 August 8 – 11 Face-to-Face RLAs, LGUs, SUCs PSRTI Participants April 11 – 14 August 1 – 4 Online Basic Statistics 1: Descriptive Statistics May 9 – 12 August 22 – 25 Face-to-Face RLAs, LGUs, SUCs PSRTI Participants May 2 – 5 August 15 – 18 Online Title of Activity Schedule of Conduct Mode of Conduct Target Participants Trainer Source of Fund Data Visualization Using Infographics May 23 – 26 September 5 - 8 Face-to-Face RLAs, LGUs, SUCs PSRTI Participants May 16 – 19 August 29 – September 1 Online Technical Writing Course on Statistical Reports June 19 – 23 October 2 – 6 Face-to-Face RLAs, LGUs, SUCs PSRTI Participants May 29 – June 2 September 18 – 22 Online Effective Presentation Skills and Techniques July 10 – 14 October 9 – 13 Face-to-Face RLAs, LGUs, SUCs PSRTI Participants June 5 – 9 September 25 – 29 Online Disaster-Related Statistics Framework Self-paced Online TWG on Disaster Statistics United Nations Statistical Institute for Asia and the Pacific (UN SIAP) n/a In-depth Training on Water Accounts Self-paced Online TWG-ENRA UN SIAP n/a Using gender data for analysis, communications and policy making in the context of SDG monitoring and beyond Self-paced Online Concerned RLAs, LGUs UN SIAP n/a The Second Online Course on Crime Statistics from a Gender Perspective Self-paced Online Concerned RLAs, LGUs UN SIAP n/a Principles of Data Visualization for Official Statistics and SDG Indicators Self-paced Online Concerned RLAs, LGUs UN SIAP n/a System of National Accounts (2008 SNA) - Basic Level Self-paced Online Concerned RLAs, LGUs UN SIAP n/a The government agencies and local government units in CALABARZON are encouraged to allot funds for some of the training programs offered by the Philippine Statistical Research and Training Institute (PSRTI) and local State Universities and Colleges (SUCs). The 2023 Statistical Training Programs aims to address the inadequacy of training on statistics of some personnel assigned as focal persons for administrative data compilation and generation as one of the issues in the region which is cited in the CALABARZON Regional Statistical Development Program (RSDP) 2018-2023. The CALABARZON Regional Statistical System (RSS) envisioned that by 2023, CALABARZON has an effective and efficient RSS managed by competent people and responsive organizations that provides high quality and integrated statistics for evidence-based decisions towards the attainment of the development goals of the region. Approved by: (SGD) CHARITO C. ARMONIA Regional Director BFP/LOM/SNE
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