Annual Training Programs in 2014

Course Name Period No. of Classification Level Trainee Freq. Syllabus (124 courses) (days) trainees KOSTAT vision and mission, How Required course for new to link statistics with policies, KOSTAT new 4weeks - - officials officials Public and personal values, How to write a document.

Common Required course for KOSTAT Overview of KOSTAT, Survey officials who required officials who move into move into 15 - - planning and practice, Statistical training head offices head offices package, Team project Understanding privacy protection, Required course for KOSTAT 3rd Introduction to Six Sigma, Low or 4th grade 3 - - middle managers official carbon green growth, Course on creative and pragmatic values Various types of leaders according to environment, Communication & KOSTAT 5th Leadership development Intermediate grade officials 3 20 2 persuasion skill, Coaching skill, Conflict solving, Team leadership Specialized development Understanding of creativity, training Creativity development Intermediate KOSTAT 3 30 2 Awareness of the problem, idea (for leaders) divergent and convergent Understanding of consulting for Consulting for Statistics Intermediate KOSTAT 3 15 1 statistics development, Case study, development Practice

Patterns of non response, Missing data processing parametric and no-parametric Advanced KOSTAT 16weeks 10 1 & analysis method, SAS practice, assignments and evaluation Theory and practice for population Population projection Advanced KOSTAT 16weeks 10 1 projection, EXCEL macro practice, Assignments and evaluations Establishment sample design, Survey planning Advanced KOSTAT 16weeks 10 1 Questionnaire design, Case study Industrial Classification, Occupation Statistical Classification Advanced KOSTAT 16weeks 10 1 Classification, Disease Classification Sample theory, Household sample Sample design and design, Establishment sample Specialized Advanced KOSTAT 18weeks 10 1 estimation design, SAS practice, assignment training and evaluations (statistical Time series regression model, time series model, model selection Time series analysis in Advanced KOSTAT 16weeks 10 1 process, example of empirical expert) economy analysis, assignments and evaluations Understanding of national accounts, National accounts Advanced KOSTAT 16weeks 10 1 method of national accounts forecasting

Concept of Index, method to Index theory Advanced KOSTAT 16weeks 10 1 prepare production index, method to prepare price index

Micro-aggregation, Rounding Data masking & analysis Advanced KOSTAT 16weeks 10 1 method, Grouping method, Noise, Data swapping, cell suppression Training Period No. of Classification Course Name Level Freq. Syllabus Target (days) trainees Questionnaire design, sample Survey methodology Basic ALL 3 40 2 design, result analysis, writing presentation data Outline of questionnaire design, factors involved in questionnaire Questionnaire design Intermediate KOSTAT 3 30 1 design and procedure, questionnaire design practice, group presentation and discussion Understanding local statistics. Specialized Local Policy and Basic ALL 3 30 3 Basic knowledge to make a Statistics training Statistical chart and Application Basic statistics theory, basic (statistics statistics. Practical evaluation, basic Basic Statistics and Basic KOSTAT 5 25 5 index theory and practice planning) Application evaluation, understanding seasonal adjustment. Sample design and theory, sample Sample theory and design practice, understanding of Intermediate ALL 3 20 2 practice opinion surveys, examples of sample design, policy education Understanding of probability, Introductory of probability Basic ALL 3 30 2 probability distribution, expected theory value and degree of dispersion Understanding of multivariate data, Multivariate data analysis Intermediate ALL 3 20 1 multivariate data analysis, practice Basic missing data Patterns of missing, hot deck Intermediate ALL 3 20 2 processing method, SAS practice Concept of time series analysis, use of time series data, trend analysis, seasonal adjustment Time series analysis Intermediate ALL 5 20 1 method, ARIMA model theory, ARIMA model selection process, economic model of time series The rule and way of data editing, Editing methodology Intermediate ALL 3 20 1 case study using R Review of EXCEL, statistical Data analysis using Advanced ALL 3 30 3 analysis, comprehensive analysis EXCEL and practice Regression theory, multiple regression, logistic regression, Regression analysis Intermediate ALL 3 10 1 nonlinear regression, package Specialized practice Basic statistics, t-test, variance Data analysis using R Intermediate ALL 3 30 3 training analysis, multivariate data analysis Massive data handling Practice macro, SQL and (Data Advanced ALL 5 25 3 using SAS high-capacity data processing processing Use of SAS, statistical analysis, & analysis) Data analysis using SAS Advanced ALL 5 25 3 comprehensive analysis and practice Basics of SAS program, input and output of data, SAS operation and function, data summary, Basic SAS programming Basic ALL 3 30 3 aggregation, conversion and formatting, basic application of programming, examples of using programming Use of SPSS, statistical analysis, Data analysis using Intermediate ALL 5 30 3 comprehensive analysis and SPSS practice Survey practice, basic management Survey practice using of SPSS, analysis of SPSS survey Intermediate ALL 5 30 3 SPSS data, comprehensive practice using examples Overview of STATA, programming, Basic STATA Advanced ALL 3 25 1 table and graph, descriptive statistics, examples of analysis Training Period No. of Classification Course Name Level Freq. Syllabus Target (days) trainees Press activities of KOSTAT, practice drawing up press releases, Statistical press release Intermediate KOSTAT 3 30 2 media response, writing creative press materials Specialized Introduction to Media Training Communication by Personality Media Training Intermediate KOSTAT 2 20 1 training Types Interview / Presentation Practice (Publication) Use of tabulation and The rule of tabulation and graph, Basic ALL 3 30 3 graph case study How to write survey reports Writing survey reports Intermediate ALL 2 30 2 including the outline, results and analysis, practice writing reports Definition and history of economic statistics, use and preparation method of economic statistics, economic indicators in production, consumption and construction Understanding of Intermediate ALL 3 30 2 investment, economic indicators in economic statistics facility investment, import and export, economic indicators related to prices, interest rate, stock market, points to keep in mind when using economic statistics AR(p), MA(q) model ARIMA(p,q), ARIMA(p,d,q) model Seasonal adjustment Intermediate KOSTAT 2 30 1 Specialized ARIMA(p,d,q)(P,D,Q) model RegARIMA model training Understanding national accounts, (economic) national income statistics, use of national income statistics, Money Basic national accounts Intermediate ALL 4 15 1 flow table, chain weighted method, Input-output table, international balance of payments Introduction to financial statements, Understanding of questionnaire and financial Intermediate ALL 3 30 4 financial statement statement, application of survey items Concept of Index, method to prepare production index, method Basic index theory Intermediate ALL 3 15 1 to prepare price index, method to prepare trade index, performing economic analysis using index Outline of statistics and future directions, production survey(cultivation area, production volume), remote sensing survey, Understanding of statistics survey, price Intermediate ALL 3 20 1 agriculture statistics index of commodities received and paid by farmers, management of agriculture statistical samples, presentation on how to improve agriculture statistics Specialized Social changes and statistical challenges, issues in employment Understanding of social Intermediate ALL 3 25 2 statistics, social indicators, training statistics household income and expenditure, (sociology) group discussion and presentation Outline of statistics and future directions, management of Understanding of Fishery Intermediate ALL 3 20 1 statistical samples, fishery statistics production survey, presentation on how to improve fisheries statistics Concept of population statistics, population census, population vital Understanding of Intermediate ALL 3 25 1 statistics, Internal migration population statistics statistics, cause of death statistics & life tables, population projection Training Period No. of Classification Course Name Level Freq. Syllabus Target (days) trainees Use of statistical information, Specialized understanding national statistics integrated DB and database, Use of national statistical training Basic ALL 3 20 1 statistical DB system, KOSIS information search system, statistical navigator, (IT) publication editing system, statistical meta DB system

Conflict management and Psychology for Basic KOSTAT 3 20 3 communication, relationship persuasion Specialized management training Summary of theories on interview techniques, psychological (Field understanding of survey interview Field survey practice Intermediate KOSTAT 3 20 1 process and role-playing, survey) identifying personal preferences through questionnaires, group discussion

Introduction to National Statistics Understanding National Survey method. Basic ALL 3 20 2 Statistics Population Statistics, Social Statistics, Economic Statistics

Overview of statistical classification, industrial Industrial classification Basic ALL 3 30 2 classification(manufacturing, Agriculture , fishing and mining / electricity, gas, stream and supply / wholesale and retail trade, transportation, education and related service / information and communications, Industrial classification financial and insurance activities, Basic KOSTAT 1 80 1 (Cyber + Class) accommodation and service activities, real estate activities, business facilities management and business Specialized Understanding 3.0 Policy Introduction to 3.0 Policy Basic KOSTAT 2 20 2 Public Information, Opening training of Government Collaborative Administration (Policy) Composition of standard statistical classification, basic management principles and current status, outline of occupational Occupational classification Basic KOSTAT 3 30 1 classification, general classification of occupation, vacational information theory, case studies of occupational classification

Outline of statistical quality management, method to write Statistics Act Basic ALL 2 20 2 self-evaluation of quality, presentation of evaluation results, feedback and discussion

Statistics-based policy management system, policy process and Statistics and policy Intermediate ALL 3 20 2 statistics, policy process and data analysis, case studies of statistics and policy Training Period No. of Classification Course Name Level Freq. Syllabus Target (days) trainees

Understanding the concept of a report, preparing a basic / Writing reports Basic ALL 5 40 5 advanced document using HWP, PowerPoint diagrams, using Excel and PowerPoint at the same time

Introduction to Social Media, such Social Media and SNS Basic ALL 3 30 1 as Facebook, YouTube, Internet, SNS, Twitter etc

DBMS and Access, basic structure of Access, how to create a table, handling queries and making forms, Access Intermediate ALL 5 30 3 creating applications using Access, examples of how access is used for work

Basics of Excel and charts, Advanced use of worksheets, Data Intermediate Excel Intermediate ALL 5 40 4 operation, data function processing, basic macro and practice

Basics of Excel, How to make a worksheet, Entering math functions Basic Excel Basic ALL 3 45 6 Specialized and editing entities, creating a chart and editing entities training (Administration) Statistical law and system, statistics quality control, budget and practical accounting, understanding of Statistics administrative national statistics, outline of the Basic KOSTAT 2 30 1 management press activities of KOSTAT, practical administrative management, statistics-based policy management system

Overview of PowerPoint, preparing and editing slides, using multimedia PowerPoint Basic ALL 3 45 8 data, advanced use of slides, planning presentation using PowerPoint, make presentation

Understanding of Prezi Use of bubble menu Prezi Intermediate ALL 2 30 2 Story consists Prezi case of Various Type Presentation using prezi

Basics of Excel to expand practice uses, concept of macro and VBA, Advanced Excel creation and execution of macro, Advanced ALL 5 30 2 (VB Excel Macro) handling Excel entities, practice programming, examples of statistical DB management using Excel Specialized Those who training Preparation for social passed the Statistical analysis using SPSS, survey analyst Intermediate written 4 40 2 survey methodology, solving sample test(2nd (self- (2nd grade) grade)L questions from previous exams improvement) Training Period No. of Classification Course Name Level Freq. Syllabus Target (days) trainees

Introduction to National Statistics Understanding National Survey method Basic ALL 1 30 9 Statistics(M) Population Statistics, Social Statistics, Economic Statistics

(Introduction to Industrial classification) overview and revisions in major groups Industrial classification(C) Basic KOSTAT 2 30 7 (detailed classification method for each major groups) from major group 1[managers] to major group A(armed forces)

Time series analysis And Advanced ALL 3 20 3 Application(C) Time series regression model, time series model, model selection process, example of empirical analysis, assignments and Time series analysis And evaluations Advanced ALL 1 30 9 Application(M)

(Basic Excel) statistical analysis Statistical analysis using using excel, collection of data and Intermediate ALL 2 70 7 EXCEL(C) summarization using charts, descriptive statistics, creating charts and graphs for e-Learning qualitative/quantitative data (Performing statistical analysis) Statistical analysis using use of Excel functions, statistical Intermediate ALL 1 50 9 EXCEL(M) functions, statistical inference, chi-square test, time series analysis

(Basic SAS programming) examples, creating dataset, input, arithmetic statement, functions, IF statement, other commands, SAS examples(C) Advanced ALL 3 30 2 explanation of KOSTAT examples (Advanced SAS programming) dataset management, basic macro, sort and transpose, proc, program examples

Introduction to survey method, method of data collection, Basic survey method(C) Basic ALL 2 50 7 questionnaire design and survey management, characteristics of enumerators and respondents, training enumerators Introduction to survey method, method of data collection, questionnaire design and survey Basic survey method(M) Basic ALL 2 50 9 management, characteristics of enumerators and respondents, training enumerators

* (C) Cyber-learning, (M) Mobile-learning Training Period No. of Classification Course Name Level Freq. Syllabus Target (days) trainees

Understanding of Local statistics Local Policy and Basic ALL 3 70 7 Basic Knowledge to make a Statistical Statistics(C) chart and Application Importance of national Statistics Preparation situation of Local Statistics Local Policy and Major economic indicatiors Basic ALL 2 30 9 Statistics(M) Comprehensive Practice using example

(Introduction to occupational classification) overview and revisions in major groups Occupational (detailed classification method for each Basic KOSTAT 2 30 7 classification(C) major groups) from major group 1[managers] to major group A(armed forces)

Statistical essential Representative value, measure of Basic ALL 2 30 5 knowledge(C) dispersion, ratio, etc

Introduction to statistics Statistical thinking(C) Basic ALL 3 50 7 Collection of data and summarization using charts, Understanding of Index, Distribution Statistical thinking(M) Basic ALL 2 30 9 Statistical Packages

The survey of household finances and living conditions Introduction to survey Mining and manufacturing survey Basics ALL 1 3 9 of KOSTAT(M) household sales and purchase price Current Household Survey e-Learning Farm & Fishery household economy Basic Statistics theory Dispersion, Standard deviation, Estimation Basic Statistics(M) 2 50 9 Statistical hypothesis test Regression analysis Comprehensive Practice using example (Basic sampling theory) concept, probability, expected value, probability & non-probability sampling (Advanced sampling theory) stratified Basic sample Intermediate ALL 2 50 5 random sampling, systematic sampling, theory(C) cluster sampling, sampling with probability proportionate to size (Application of program) sampling and projection program, examples (Introduction to regression analysis) definition of regression analysis, simple linear regression, variable transformation, Understanding of regression analysis using a dummy r e g r e s s i o n Advanced ALL 2 30 3 variable, comprehensive examples analysis(C) (Advanced regression analysis) multiple regression analysis, selection of variables, quantitative economic model, multicollinearity, heteroscedasticity Statistical analysis Advanced ALL 4 50 4 using SPSS(C) Introduction to SPSS, SPSS basic statistics, SPSS statistical analysis, Statistical analysis Advanced ALL 2 50 9 advanced use of SPSS using SPSS(M) Introduction to financial statement, Understanding of Intermediate ALL 3 50 5 questionnaire and financial statements, financial statement(C) application of survey item

* (C) Cyber-learning, (M) Mobile-learning Training Period No. of Classification Course Name Level Freq. Syllabus Target (days) trainees The survey of household finances Basic KOSTAT 1 30 5 and living Outline of Survey conditions(C) Field survey The survey of Household member, Asset, debt household finances Income, Expenditure, etc Basic KOSTAT 1 30 9 and living conditions(M) Introduction to Current Household Survey, how to make housekeeping books, how to Current Household Basic KOSTAT 1 30 7 make electronic housekeeping books, how Survey(C) to record data, how enumerators can manage electronic housekeeping books Current Livestock Introduction to Current Livestock Survey Basic KOSTAT 1 30 7 Survey(C) and method of filling out questionnaire Introduction to Economically Active Economically Active Population Survey, design and Use of Basic KOSTAT 1 30 7 Population Survey(C) questionnaire, editing method, data processing schedule (Introduction to Mining and Manufacturing Survey) need for Current Mining and Manufacturing Survey, survey Mining and overview manufacturing survey (Questionnaire design method) how to Basic KOSTAT 1 30 7 (production, shipment, design questionnaire, review of surveys inventory)(C) and data input (Management of establishments) how to manage establishments to be surveyed (Practice IPS: how to use IPS program) (Survey Overview) overview and e-Learning terminology, selection of survey subjects and management of establishments Mining and (Questionnaire design method) how to Manufacturing survey Basic KOSTAT 1 30 5 design questionnaire, review of surveys (producing capability, and data input operation rate)(C) (Calculation of production capability) definition of production capability and method of calculation Overview of Farm Household Economy, survey Theory and Methods, how to fill out Farm Household farmhouse assets log and daily log, food Basic KOSTAT 1 30 7 Economy Survey(C) consumption, understanding of : rice, barley, garlic, onion, chili, sesame, soybean Farm household sales Introduction to farm household sales and and purchase price Basic KOSTAT 1 30 5 purchase price survey, method to field survey(C) survey Understanding of Cost of Crop production Cost of Crop Basic KOSTAT 1 30 7 survey production survey(C) Paddy rice, garlic, onion, pepper, bean, etc Overview, management and maintenance Cultivated Area of survey district, survey on area of Basic KOSTAT 1 30 7 Statistics Survey(C) cultivated land, survey on crop cultivation area Introduction to Crop Production Survey, method of Crop Production Survey: paddy Crop Production rice production, barley․upland rice Basic KOSTAT 1 30 7 Survey(C) production, garlic․onion․potato, chili․bean․sesame, radish for kimchi․cabbage, apple․pear production Price of rice Introduction to Price of rice survey, method Basic KOSTAT 1 30 5 survey(C) to field survey

* (C) Cyber-learning, (M) Mobile-learning Training Period No. of Classification Course Name Level Freq. Syllabus Target (days) trainees Introduction to Current Service Current Service Survey, questionnaire Design Method, Basic KOSTAT 1 30 7 Industry Survey(C) method of Data Input, service Industry Activity Index

Current Service Basic KOSTAT 1 30 9 Industry Survey(M) Introduction to Consumer Price Survey, survey Methods, how to Use Systems: Consumer Price price system, PDA Basic KOSTAT 1 30 4 Survey(C)

Introduction to Food Grain Consumption Food Grain Survey Consumption Basic KOSTAT 1 30 5 Method to field survey Survey(C) Computer management System

Introduction to Fishery Household Economy, understanding of fishery Fishery Household Basic KOSTAT 1 30 7 Household Economy, how to fill out daily Economy Survey(C) fishery household log, how to fill out asset log

Current Fish farming Understanding of Current Fish farming Basic KOSTAT 1 30 5 survey(C) survey

Overview of Current Fishery Production Current Fishery Survey, survey based on cooperative and Basic KOSTAT 1 30 7 Production Survey(C) non-cooperatives data, survey on inland-water fisheries

e-Learning Introduction to Current Population Survey, how to make housekeeping books, how to record data and check errors, how to record data, how enumerators can manage Current Population Basic KOSTAT 1 30 7 electronic housekeeping books, Survey(C) understanding of Current Population Survey and job overview, overview of job descriptions for different agencies entering data Definition of e-commerce and Cyber Current of shopping e-commerce and Basic KOSTAT 1 30 5 Questionnaire completion method Cyber shopping content review and input of materials Survey(C) Outline of survey Case study on Field survey Regional employment Basic KOSTAT 1 30 5 Industrial Classification survey(manager)(C) Occupational Classification

Regional employment Outline of survey Basic KOSTAT 1 30 5 survey(Investigator)(C) Case study on Field survey Understanding of Cost of Livestock Cost of Livestock production survey Basic KOSTAT 1 30 7 production survey(C) Beef , milk cattle, fed pigs, layer chicken, etc

Definition of research and data collection, Preparation for social KOSTAT Intermediate 2 50 5 design of questionnaire and samples, survey analyst(C) Other Public Servant measurement and scale, social statistic

* (C) Cyber-learning, (M) Mobile-learning Training Period No. of Classification Course Name Level Freq. Syllabus Target (days) trainees

Connection between statistics and Statistical academy for High school 2 30 2 economics, enhancing statistical mind, high school student student group discussion

Understanding national statistics, Statistical workshop University 3 30 3 explanation of statistical indicators, use of for university students students statistical data

Collecting the statistical data, population Writing statistical and sample, analysis of variance(One-way thesis for graduate Graduate 3 20 3 student ANOVA, ANCOVA, MANNOVA), regression student analysis, case study

Elementary Importance of Statistical thinking Love Sharing school Statistics and Creativity students(5th 3 30 3 Statistical camp or 6th Statistical data collection grade) Make a Statistics Poster Elementary Quizzes to teach how social and Statistical camp for school students(5th 3 30 4 economics are used, experiencing statistics children or 6th grade) using computers Introduction to social and economics Statistical training for middle statistics, survey planning, finding of school 5 20 1 middle school teacher teacher statistical information, statistical thinking, teaching statistical methods Use of statistics, statistical decision-making Statistical academy for Middle theory, ways to solve statistical problem, school 3 30 2 middle school student students understanding social problems by looking at statistics Introduction of social and economics Statistical training for elementary statistics, survey planning, finding of Others elementary school school 5 15 1 statistical information, statistical thinking, teacher teacher teaching method of statistics Statistics Seminar ALL 1 15 5 Current topics of Statistics Introduction to survey method, data collection method questionnaire design and Field Survey Training KOSTAT 3 40 2 survey management, characteristics of (Cyber + Class) enumerators and respondents, training enumerators Quizzes to teach how social and Statistical Class for Elementary school 1 30 5 economics are used, experiencing statistics children students using computers basic statistics theory, basic statistics practice evaluation, basic index theory Statistics ALL 15 20 1 practice evaluation, understanding of seasonal adjustment Introduction to survey method, data collection method, questionnaire design Field Survey Training unemployed 5 30 1 and survey management, characteristics of enumerators and respondents, training enumerators Search for a creative solution Custom-tailored Problem solving method ALL 15 15 20 course Action learning Theoretical learning Introduction of statistics korea and Foreign statistical system, class focusing on KOICA] Statistical government 21 15 4 practical exercise and discussions, country training officials or report, hands-on experience of Korean engineers culture, visit to major industrial sites

* (C) Cyber-learning, (M) Mobile-learning Training Period No. of Classification Course Name Level Freq. Syllabus Target (days) trainees

Designing future KOSTAT 5 30 1 Retirement Preparation

Music and life KOSTAT 2 30 1 Cultural studies on Music

Healing Camp KOSTAT 3 30 3 Recreation program for Staffs

Planing / Pushing ahead Leadership for Basic ALL 1 50 9 Strategy Personal Capacity(M) Reasoning Skills / Observation

Self-coaching L e a d e r s h i p Basic ALL 1 50 9 Image making / Image Training development(M) Communication Skills

Problem Solving Useful-tips for solving problems in Basic ALL 1 50 9 Ability(M) workplace

Preventing corruption and national Others development, corruption reporting system, system which prevents corrupt officials Integrity(C) Basic ALL 1 100 7 from reemploying, codes of conduct for government officials, corruption impact assessment system, ethical management

Greeting / Asking Skills Psychology for Basic ALL 1 50 9 Mind control Persuasion(M) Authority / Reciprocality / Consistency law

Useful-tips for leading a Successful Tips for worklife(M) Basic ALL 1 50 9 worklife

Outline of statistical quality management, method to write self-evaluation of quality, Statistics Act(C) Basic ALL 1 50 7 presentation of evaluation results, feedback and discussion

Self coaching Self-Improvement(M) Basic ALL 1 50 9 Image making Skills Etiquette training in workplace

Useful-tips for upgrading our Negotiation Negotiation Skills(M) Basic ALL 1 50 9 Skills

* (C) Cyber-learning, (M) Mobile-learning