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STS513 Maria Praxedes R. P.
5:00 p.m. (8 hours). This training course will be conducted for the 17 regions
of the country from 2018-2019.
The course outline for this covers the following:
I. Overview of the SDG
II. Presentation of the Data Ecosystem
III. Lecture on the Basic Concepts in Statistics
1. Definition and Examples of Official Statistics
2. Importance of Statistics
3. Basic concepts about variable, indicator and data
4. Some Summary Measures used in Computing SDG Indicators
5. Methods of Data Collection
IV. Workshop on SDG Matrix
1. Mechanics of the Workshop and computation of some SDG
Indicators
2. Open Forum
B. SDG Seminar 2. A three-day training course on descriptive statistics, data
collection and the Community Based Monitoring System (CBMS), and
monitoring and evaluating the different SDG indicators using statistics.
The target training participants are 3,268 city planning officers, municipal
planning officers, K to 12 principals and teachers from the 17 regions. The
trainings will be for 3 consecutive days, targeting four batches per region
with a class size of 50 participants. This training course will be conducted
from 8:00 a.m. to 5:00 p.m. (24 hours). Knowledge on basic computer
operations is required and data management using MS Excel® is a pre-
requisite to this course.
The course outline for this covers the following:
I. Introduction and Review on basic concepts in Statistics
II. Methods of Collecting Data and CBMS
1. Survey
2. Use of Documented Data
3. Registration
4. Questionnaire Construction
5. CBMS and its instrument/questionnaire
III. Summary Measures that will be used in planning, implementing,
monitoring and evaluating the SDG indicators
1. Measures of Central Tendency
2. Measures of Location
3. Measures of Dispersion
4. Proportions, Ratios, Rates, Percent Change
IV. Monitoring and Evaluation (M & E) of
performance vis-a-vis targets 1. Processing
and analyzing M&E Data
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