Source: Eurostat (Data extracted on: 07 Mar 2024 )
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Organizer(s): Eurostat Icon-Institut
Description: Objectives: * This course will enable you to pick your next top data-science programming language; * Know the characteristics of R, Python, Julia; * Understand the advantages of each language for different use-cases; * Ability read and modify a small program in each language.
Target Audience: Statistical production units and methodologists of NSIs, having an interest in data science tools and a basic understanding of development.
Description: The demand for analyzing labour market data has risen, in line with the prioritization of countries to better understand the functioning of the labour market and the impact of policies and programmes on outcomes, including unemployment and employment. The adoption of the 2030 Agenda for Sustainable Development requires governments and other stakeholders to monitor progress towards the defined goals and targets, including SDG 8 on Decent Work and Economic Growth. At the same time, new measures of the labour market are evolving through the adoption of statistical standards by the International Conference of Labour Statisticians (ICLS). The 19th and 20th ICLS resolutions on work statistics are crucial for decent work related SDG indicators, particularly SDG 8 on promoting inclusive and sustainable growth, employment and decent work for all. The analysis of labour market data relies on the availability of data, which has expanded in recent years, and the use of appropriate methodologies to identify key factors and trends relevant to evidence-based policymaking. In this regard, analysts and statisticians depend on statistical software that provides a user-friendly approach to data management, description, graphics and analysis. STATA is such a tool, which is powerful but easy-to-use, and is utilized across the world for analysing labour market data. Building on its long experience in delivering training on labour market statistics, the International Training Centre of the ILO in full collaboration with the ILO Department of Statistics is proud to offer this online training on using STATA for labour market analysis. Harnessing the latest ground-breaking distance learning technologies, the ITCILO is proudly offering this course online in full collaboration with the ILO Department of Statistics. - This course qualifies for the Labour Market Statistics & Analysis Diploma.
Target Audience: The course targets: - Labour Statisticians from national statistical offices; Ministries of labour and related institutions (such as labour observatories); Other Ministries or Government institutions in charge of SDG statistical monitoring; - Employment and development policy analysts from National Statistical Offices, Research and Academic institutions, International organizations and Donor organizations; and - Officials responsible for managing the production and dissemination of labour market statistics, particularly for the SDG national reporting.
Title in Arabic: التحليل الاحصائي المتقدم باستخدام برمجية SPSS
Organizer(s): AITRS
Description: تمكن عمليات معالجة وتحليل الإحصائيات المتأتية من مختلف المصادر الاحصائية من التعرف عن مجتمع الدراسة بكل عناية، وشرح صفاته، وتحديد مميزاته وتوفر مقارنة مع المجتمعات الاخرى او مع فترات زمنية سابقة. وكي يتحقق هذا الهدف لا بد من التعمق بدراسة البيانات التي تميز هذا المجتمع عن غيره كما يتوجب القيام بالدراسة من خلال عينة ممثلة للمجتمع الاساسي وفق الأسس العلمية، ليستخرج منها المؤشرات والخصائص التي يمكن تعميمها على المجتمع. ويأتي ذلك بتحويل البيانات الأولية إلى معلومات وحقائق قابلة للفهم وتزيد المعرفة الاحصائية، وذلك باستخدام عدة طرق وبرامج في عملية تحليل البيانات وتفسيرها. ومن هذا المنطلق تهتم الأجهزة الإحصائية بالتحليل الاحصائي الاستدلالي الى جانب التحليل الاحصائي الوصفي والذي يمكنه من اجراء اختبارات إحصائية للبيانات بغرض مزيد فهم الاحصائيات وإنجاز الأبحاث العلمية المختلفة حسب طبيعة البيانات، كما ويزيد من فهم الحزمة الإحصائية SPSS وامكانياتها العالية في هذا المجال.
Source: Eurostat (Data extracted on: 07 Mar 2024 )
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Organizer(s): Eurostat Icon-Institut
Description: This course will enable you to pick your next top data-science programming language: * Know the characteristics of R, Python, Julia; * Understand the advantages of each language for different use-cases; * Ability read and modify a small program in each language.
Target Audience: Statistical production units and methodologists of NSIs, having an interest in data science tools and a basic understanding of development.
Source: Eurostat (Data extracted on: 07 Mar 2024 )
[+] More
Organizer(s): Eurostat Icon-Institut
Description: To provide the participants with a basic understanding of the main concepts of seasonal and calendar adjustment, trend cycle, irregular components and related time-series issues To introduce the participants to the use of software JDEMETRA+ via the graphical interface and R.
Target Audience: Official statisticians (including managers) interested in seasonal adjustment methods and have no specific knowledge on this subject.
Description: The International Association of Survey Statisticians (IASS) presents this short auto-instructional course, including: introductory videos; and course notes with theoretical lessons, followed by tutorials for practical computer sessions in R, and computer workshops. In the practical sessions, participants will conduct tasks using the methods and software presented. Examples with data are presented and used in the practical sessions. Short videos, course materials, data files, and R scripts are provided on this website. Main topics include probability sampling designs, an introduction to the analysis of survey data, point and standard error estimation, model selection and model fitting, and plotting survey data.
Organizer(s): INS Romania Ecological University of Bucharest, Romania
Description: Date Location More information 12 December 2023 - 14 December 2023 The uRos2023 is the 11th International Conference of the Use of R in Official Statistics. After 3 on-line editions, this year we are inviting you at uRos home country and institution - Bucharest, Romania, at the premises of Romanian NIS.
Source: Eurostat (Data extracted on: 01 Nov 2022 )
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Organizer(s): Eurostat EFTA
Description: Objectives of the course: * Introduce the GSBPM and how it applies to quality control in NSI’s. * Introduce R and its basic functions. * Present how R can be used within NSI’s for processing, analyzing and creating output for users. * Introduce the tidyverse and how it can be used for data wrangling. * Present ggplot and how it can be used to produce graphs. * Introduce RMarkdown and how to write reports through R.
Target Audience: Statisticians working in the production of official statistics, especially data processing and analysis. No specific experience within official statistics is necessary. The course should both be relevant for junior as well as senior statisticians.
Source: Eurostat (Data extracted on: 03 Feb 2023 )
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Organizer(s): Eurostat Icon-Institut
Description: The objectives of this course are: * This course will enable you to pick your next top data-science programming language; * Know the characteristics of R, Python, Julia; * Understand the advantages of each language for different use-cases; * Ability read and modify a small program in each language.
Target Audience: Statistical production units and methodologists of NSIs, having an interest in data science tools and a basic understanding of development.
Description: يهدف الاعتماد على الأساليب والأدوات الإحصائية على غرار استخدام التطبيقات الإحصائية إلى تيسير تحليل البيانات باختلاف حجمها، واختيار النماذج المناسبة لدراسة نواحي معينة لبعض الظواهر الاقتصادية والاجتماعية وكذلك لدراسة مشكلة معينة قائمة أو وقع التنبؤ بها وإيجاد الحلول الكفيلة لها. وتتنزل هذه الورشة في إطار دعم القدرات الإحصائية في مجال اكتساب الخبرة والتمكن من هذه الأليات التي تساعد على مواكبة التطورات السريعة فيما يتعلق بإنتاج واستخدام البيانات مع بروز جيل جديد من التخصصات في بعض المجالات الجديدة أهمها علوم البيانات (Data Science) والتي تعنى ببناء قاعدة البيانات وإيجاد طرق مبتكرة لتحليل وفهم معنى البيانات في سياق إقليمي ودولي شديد التغير. تهدف الورشة بالأساس إلى تمكين المشاركين على الاطلاع على تطبيقية Eviews 13 من خلال التعرف على أهم مكوناتها، ومختلف الأليات، والتعامل مع البيانات وانشاء قاعدة بيانات، واستخدام النماذج الإحصائية وتحليلها حسب أهداف المشروع ومجال التطبيق، إضافة إلى التطرق إلى تقنيات التنبؤ وتطبيقها على أمثلة ونماذج تطبيقية.
Description: يعتبر برنامج R من البرامج الأكثر استخداما على المستوى العالمي في مجال علم البيانات، وقد تم تطوير حزم ومرفقات في هذا البرنامج تتعلق بمنهجيات المعاينة وحساب وتعديل الأوزان. كذلك فإن كون البرنامج مفتوح للباحثين والمطورين للمنهجيات الإحصائية، فإن سرعة التطور فيه ومرونته جعل العاملين في بعض أجهزة الإحصاء الرسمية يبدؤون باستخدامه في كثير من التطبيقات الإحصائية ومن ضمنها تصميم واختيار العينات ومعالجة أوزان المعاينة. وفي هذا السياق، ينظم المعهد العربي للتدريب والبحوث الإحصائية ورشة عمل إقليمية عن بعد للأجهزة الإحصائية في البلدان العربية والمنظمات الاقليمية حول المعاينة باستخدام R لتعريف المشاركين بهذا الموضوع الهام.
Description: The demand for analyzing labour market data has risen, in line with the prioritization of countries to better understand the functioning of the labour market and the impact of policies and programmes on outcomes, including unemployment and employment. The adoption of the 2030 Agenda for Sustainable Development requires governments and other stakeholders to monitor progress towards the defined goals and targets, including SDG 8 on Decent Work and Economic Growth. At the same time, new measures of the labour market are evolving through the adoption of statistical standards by the International Conference of Labour Statisticians (ICLS). The 19th and 20th ICLS resolutions on work statistics are crucial for decent work related SDG indicators, particularly SDG 8 on promoting inclusive and sustainable growth, employment and decent work for all. The analysis of labour market data relies on the availability of data, which has expanded in recent years, and the use of appropriate methodologies to identify key factors and trends relevant to evidence-based policymaking. In this regard, analysts and statisticians depend on statistical software that provides a user-friendly approach to data management, description, graphics and analysis. STATA is such a tool, which is powerful but easy-touse, and is utilized across the world for analysing labour market data. Building on its long experience in delivering training on labour market statistics, the International Training Centre of the ILO in full collaboration with the ILO Department of Statistics is proud to offer the training Advanced STATA for labour market analysis. Harnessing the latest ground-breaking learning technologies, the ITCILO is proudly offering this course as face to face activity in Turin in full collaboration with the ILO Department of Statistics.
Target Audience: The course targets: - Labour Statisticians from national statistical offices; Ministries of labour and related institutions (such as labour observatories); Other Ministries or Government institutions in charge of SDG statistical monitoring; - Employment and development policy analysts from National Statistical Offices, Research and Academic institutions, International organizations and Donor organizations; and - Officials responsible for managing the production and dissemination of labour market statistics, particularly for the SDG national reporting.
Description: The aim of this course is to equip national and international stakeholders with the necessary skills for using STATA statistical software to analyse the labour market for the purposes of evidence-based policymaking, including SDGs and decent work indicators.
Target Audience: Statisticians and analysts from national statistical offices, ministries of labour and related institutions (such as labour observatories) and other government agencies responsible for labour-market data analysis and national SDG reporting; research and academic institutions; international organizations; development agencies; non-governmental organizations.
Course Language: English
Topics:
Original webpage was deleted, archived version from the Internet Archive (not a UN service): Link
Description: The aim of this course is to equip national and international stakeholders with the necessary skills for using STATA statistical software to analyse the labour market for the purposes of evidence-based policymaking, including SDGs and decent work indicators.
Source: Eurostat (Data extracted on: 03 Feb 2023 )
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Organizer(s): Eurostat Icon-Institut
Description: This course will enable you to pick your next top data-science programming language Know the characteristics of R, Python, Julia Understand the advantages of each language for different use-cases Ability read and modify a small program in each language.
Target Audience: Statistical production units and methodologists of NSIs, having an interest in data science tools and a basic understanding of development.
Title in Arabic: التحليل الاحصائي باستخدام برمجية SPSS
Organizer(s): AITRS
Description: يعد تحليل البيانات أحد أكثر المجالات ازدهاراً في الوقت الحالي وتكمن اهمية عملية التحليل في قدرتها على تحويل البيانات الاولية الى نتائج سهلة الفهم، حيث يقوم المحلل الاحصائي باتباع العديد من الأساليب والطرق اللازمة لعرض البيانات وتحليلها بالصورة المطلوبة باستخدام الأدوات والأساليب الاحصائية الممكنة للحصول على نتائج دقيقية ومفهومة. ونظراً لأهمية البرامج الخاصة بالتحليل الاحصائي في الدراسات والمسوح التي تعتمد على الجانب الاحصائي لايجاد مخرجاتها، يمكن القول بان برنامج التحليل الاحصائي (SPSS) هو أحد أهم وأكثر البرامج الاحصائية شيوعاً واستخداماً لتحليل البيانات الكمية، بالاضافة الى انه يمكن من خلال هذا البرنامج ترميز وتجهيز البيانات من أجل الوصول الى نتائج علمية صحيحة للاجابة عن تساؤلات وفرضيات الدراسة واختصار الوقت وتوفير الجهد على الباحثين. تندرج هذه الورشة في إطار مواصلة المعهد تعزيز قدرات العاملين في الأجهزة الاحصائية بموضوع التحليل الاحصائي باستخدام البرامج الإحصائية المتعارف عليها ومن بينها برنامج SPSS بصورة جيدة والقيام بإجراء عمليات التحليل الإحصائي على البيانات وفهم معناها ووصفها بطريقة إحصائية سليمة.
Description: Introduction and Background Revision Selected count data distributions: Poisson, negative binomial (NB), zeta, logarithmic. Examples of heaped and seeped (digit preference) data in self-reported surveys. Other examples of inflated (spiked), truncated and deflated (dipped) count data. Generalized linear models (GLMs) and Vector GLMs (VGLMs). Underdispersion, equidispersion and overdispersion. The multinomial logit model (MLM). The VGAM R package. Using glm() and vglm() in R. GAITD Regression Theory Notation and the 7 special value types. Parametric versus nonparametric variants. Probability mass function of the full `combo’ model. Seven mode example. With covariates, what questions GA, GI, GD models can answer. Properties: moments, cumulative distribution function. The Generally-Truncation-Expansion (GTE) method for underdispersion. The GAITD-Poisson and GAITD-NB models. Overfitting. Two measures of AITD: Kullback-Leibler divergence and the Xi measure. Practical Tutorial Examples Basic use of spikeplot(), plotdgaitd() and dgaitdplot(). Sleep duration data (GTE + GI). Self-reported smoking data. Other Topics A selection from (time permitting): Choosing initial values and monitoring convergence. Advanced modelling, e.g., order of the linear predictors, extractor functions, vgam() and rrvglm() for additive modelling and reduced-rank regression. Joint effects of the 7 special value types on underdispersion and overdispersion. Hypothesis testing, model selection via AIC, Vuong’s test. Comments on special cases such as the zero-inflated Poisson (ZIP), zero-altered Poisson (ZAP; a hurdle model), zero-truncated (positive) Poisson (ZTP).
Target Audience: Statistical practitioners, especially of regression and those with count responses from self-reported survey data. Postgraduate and advanced undergraduate students in statistics would also very suitable.
Topics:
Original webpage was deleted, archived version from the Internet Archive (not a UN service): Link
Description: We are cordially inviting you to submit papers to and attend the International Conference The Use of R in Official Statistics – uRos2022 until 16th of September 2022. There will be two kind of presentations: “regular presentations” with roughly 15 minutes time slots and “lighting presentations” with 5 minutes time slots and automatic cycling through the slides. Please indicate your preference, but the scientific committee will finally assign the presentations into the two categories. The purpose of the conference is to provide a public forum for researchers from academia and institutes of official (government) statistics to present, exchange ideas and discuss developments in state-of-the-art statistical software commonly used in applied economics and statistics. The most focused debates are expected to be on the use of R in Official Statistics. In 2022, we are delighted to announce that the 10th uRos, the first non-European uRos, will be hosted by Statistics Canada, as a virtual event.
Topics:
Original webpage was deleted, archived version from the Internet Archive (not a UN service): Link
Description: This course will cover the tightly related topics of workspace organization in R and RStudio, writing dynamic reproducible reports, and version control of the entire project. The first half of the course will introduce RStudio projects for efficient organization and keeping track of project-related files. The main goal of this session is to introduce the functionality of RMarkdown and knitr for dynamic report generation. Participants will learn how to prepare reproducible statistical reports that can be easily updated as the input data change, adopting the practices of soft coding for efficient reusing of code in different projects. The second half of the course will cover the topic of version control using Git system collaboration on a project using GitHub, and contributing to a third-party project on GitHub. Participants will learn about efficient ways to keep track of their code and efficiently communicate or suggest changes to the code. Learning outcomes to be covered After taking this course, the participants will be able to 1. Organize project directories for efficient management of data, code, related outputs, and documentation. 2. Produce dynamic and reproducible reports by incorporating R code and outputs into text. 3. Implement the Git version control system for their projects and use related capabilities on GitHub.
Target Audience: All beginner and intermediate R programmers.
Topics:
Original webpage was deleted, archived version from the Internet Archive (not a UN service): Link
Description: During this short course, the participant will have an opportunity to learn the basics of cluster analysis, one of the most popular data mining methods for the discovery of patterns in different types of data. Besides this, the course will have a strong hands-on component, as the participants will learn how to conduct a cluster analysis using the R programming language. The course will first cover some aspects of statistical learning and position the unsupervised learning, to which clustering belongs. Afterwards, the basic outline of the principals of clustering with examples would be given. The following aspects covered are algorithms of hierarchical clustering (AGNES, DIANA) and partitional clustering (k-means, k-medoids, CLARA). Finally, advanced techniques used to identify certain practical challenges with cluster analysis, such as the selection of the optimal number of clusters and the validation of cluster analysis results will be elaborated upon. All algorithms and additional tests introduced will be performed in R programming language through case studies.
Topics:
Original webpage was deleted, archived version from the Internet Archive (not a UN service): Link
Description: You have created a survey and collected data, but you do not know how to analyze that data and come to the appropriate conclusions? The course “Introduction to survey analysis in SPSS” was created to show you how to use statistical software SPSS to properly analyze the data obtained through the survey and draw certain conclusions. In the course, through theoretical and practical examples, you will learn how to enter and prepare data for processing, descriptive statistics and other statistical techniques. Learning outcomes to be covered Participants will learn how to input data in SPSS, edit variables (recoding and calculating new variable), save and export output, summary statistics and plots, test for normality, comparing means (t-test, Mann-Whitney U) and chi-square test.
Target Audience: Master and PhD students, and researchers who are familiar with statistical analysis and have a theoretical background in statistics but did not use SPSS software for data analysis.
Topics:
Original webpage was deleted, archived version from the Internet Archive (not a UN service): Link
Source: Eurostat (Data extracted on: 08 Aug 2022 )
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Organizer(s): Eurostat Icon-Institut
Description: This course will enable you to pick your next top data-science programming language Know the characteristics of R, Python, Julia Understand the advantages of each language for different use-cases Ability read and modify a small program in each language
Target Audience: ESS staff with some basic knowledge of data visualisation.
Source: Eurostat (Data extracted on: 31 Jan 2022 )
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Organizer(s): Eurostat Icon-Institut
Description: The goal of this activity is to provide participants with basic knowledge about the syntax and basis of the R programming language and to provide an overview of the main packages which are important for the statistical production process. The activity will pay special attention to these packages devoted to management of large databases and the analysis of complex surveys.
Target Audience: Statistical production units and methodologist of NSIs.
Source: Eurostat (Data extracted on: 26 Oct 2021 )
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Organizer(s): Eurostat EFTA
Description: Introduce the GSBPM and how it applies to quality control in NSI’s Introduce R and its basic functions Present how R can be used within NSI’s for processing, analyzing and creating output for users Introduce the tidyverse and how it can be used for data wrangling Present ggplot and how it can be used to produce graphs Introduce RMarkdown and how to write reports through R.
Description: The aim of this course is to equip national and international stakeholders with the necessary skills for using STATA statistical software to analyse the labour market for the purposes of evidence-based policymaking, including SDG and decent work indicators.
Target Audience: National statistical offices (NSOs); ministries of labour and related Institutions (such as labour observatories); governmental agencies responsible for labour-market data analysis and national SDG reporting; ILO Social Partners (employers' and workers' organizations); research and academic institutions; international organizations; development agencies; non-governmental organizations.
Description: The aim of this course is to equip national and international stakeholders with the necessary skills for using STATA statistical software to analyse the labour market for the purposes of evidence-based policymaking, including SDG and decent work indicators.
Topics:
Original webpage was deleted, archived version from the Internet Archive (not a UN service): Link
Source: Eurostat (Data extracted on: 03 May 2022 )
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Organizer(s): Eurostat Icon-Institut
Description: The main objectives of the course are: * Introducing the participants to the Python language and ecosystem; * Make the participants able to read and write basic Python programs for common data processing tasks (data analysis, exploration and visualization).
Target Audience: Official statisticians (including managers) involved in Big Data and Data Science activities having no specific knowledge on this subject; Official statisticians (including managers) who, without being directly involved in Big Data and Data Science activities, need basic knowledge on the use of the Python language.
Source: Eurostat (Data extracted on: 04 Jan 2022 )
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Organizer(s): Eurostat Icon-Institut
Description: Objectives: * This course will enable you to pick your next top data-science programming language; * Know the characteristics of R, Python, Julia; * Understand the advantages of each language for different use-cases; * Ability read and modify a small program in each language.
Target Audience: Python programmers with ambitions to apply machine and deep learning in software engineering and research questions.
Source: Eurostat (Data extracted on: 30 Jan 2022 )
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Organizer(s): Eurostat Icon-Institut
Description: The main objectives of the course are: * Introducing the participants to the Python language and ecosystem; * Make the participants able to read and write basic Python programs for common data processing tasks (data analysis, exploration and visualization).
Target Audience: Official statisticians (including managers) involved in Big Data and Data Science activities having no specific knowledge on this subject; Official statisticians (including managers) who, without being directly involved in Big Data and Data Science activities, need basic knowledge on the use of the Python language.
Description: Save the date for the launch of FAO's joint report with the Oxford Poverty and Rural Development Initiative (OPHI). Evidence indicates that poverty worldwide is concentrated in rural areas, and that agriculture is central to the livelihoods and food security of these population groups. The report “Measuring rural poverty with a multidimensional approach: The Rural-Multidimensional Poverty Index (R-MPI)”, jointly developed by the Food and Agriculture Organization of the United Nations (FAO) and the Oxford Poverty and Rural Development Initiative (OPHI), presents the conceptual development and empirical validation of a multidimensional poverty index specific to rural areas: the Rural Multidimensional Poverty Index (R-MPI). The R-MPI is applied to four countries – Malawi, Ethiopia, Niger and Nigeria – and offers exciting new insights relevant for policymakers, academics and practitioners working on rural poverty alleviation. Results presented in the report demonstrate the effectiveness of the approach taken with the R-MPI, in building operational rural poverty profiles and the potential that the Index has in providing additional evidence on poverty dimensions that are not captured by other metrics. Confirmed discussants include Sabina Alkire (Director, OPHI), Máximo Torero (Chief Economist, FAO), Piero Conforti (ESS Deputy Director, FAO), Frank Vollmer (Researcher, OPHI), Theodora Swift Koller (Senior Technical Advisor, Equity, World Health Organization), Pali Lehohla (Former Statistician-General and Head of Statistics, South Africa). The panel discussion will be moderated by José Rosero Moncayo (ESS Director, FAO). Press release | FAO unveils improved method of measuring rural poverty
Source: Eurostat (Data extracted on: 11 Aug 2021 )
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Organizer(s): Eurostat
Description: To provide the participants with a basic understanding of the main concepts of seasonal and calendar adjustment, trend cycle, irregular components and related time-series issues To introduce the participants to the use of software JDEMETRA+ via the graphical interface and R.
Target Audience: Staff of national statistical institutes (including newcomers) involved in the production process who want to acquire a good understanding of Seasonal Adjustment (SA) methods and practices. Please note: All ESTP Courses are exclusively available to staff members of a European Statistical System (ESS) institution.
Title in Arabic: تقنيات النمذجة والتقديرات باستعمال برنامج EVIEWS
Organizer(s): AITRS
Description: ينظم المعهد العربي للتدريب والبحوث الاحصائية دورة تدريبية حول تقنيات النمذجة والتقديرات باستعمال برنامج EVIEWS خلال الفترة من 14 إلى 18 نوفمبر 2021 لفائدة الجهاز المركزي للإحصاء بالجمهورية اليمنية وذلك بهدف دعم قدرات العاملين بالجهاز في الاساليب والتقنيات الضرورية للقيام بكل الانشطة الاحصائية المتعلقة بالتنبؤات وبالتقديرات الاقتصادية لأعداد الحسابات القومية بالأساس. وسيتم التعرض الى المواضيع التالية: - تنظيم ومعالجة المعطيات الإحصائية * بيانات لتقدير السلاسل الزمنية * بيانات لتقدير مجمع البيانات * تجميع البيانات للتقديرات - تقديرات المعادلات الخطية * الانحدارات المتعددة (Résidual Test, White test, Reset Test of Ramsey, Stability test of Chow, Forecast) - تقدير معادلات البيانات المجمعة POOL DATA (بنود مؤشر الإنتاج الصناعي) * إنشاء مشروع البيانات المجمعة POOL DATA * تنزيل البيانات المجمعة * تمثيل البيانات * اختبار جذر الوحدة لمجمع البيانات * التأثير الفردي العشوائي والتأثير الفردي الثابت * تقدير البيانلت المجمعة * اختبار Hausman: التأثير الفردي العشوائي * منظومة المعادلات: تأثير فردي ثابت * مؤشر الإنتاج الصناعي IPI: التنبؤ - السلاسل الزمنية. النمذجة أحادية المتغير (CPI) والتنبؤ * مؤشر الأسعار عند الاستهلاك * اختبار جذر الوحدة * تعريف النموذج: الارتباط الذاتي بين الأخطاء العشوائية والارتباط الذاتي الجزئي * تقدير النموذجARMA (1,1) * Box-Jenkins توقعات * الطريقة غير المعلمية: التنبؤ * نتائج طرق التنبؤ المختلفة - السلاسل الزمنية: دراسة نماذج المتغيرات المتعددة * اختبار العلاقة السببية بين المتغيرات (CPI,M3,NEER) * نموذج VAR (Vector Autoregression Estimate) * Block Exogeneity Tests - استهداف نماذج ECM للتنبؤ على المدى الطويل والقصير * نمذجة 3 معادلات باستعمال نموذج اصلاح الأخطاء العشوائية * اختبار Johanson * تقديرات نموذج اصلاح الأخطاء العشوائية Model EC * تقدير نظام المعادلات المتزامنة * اختيار الفرضيات
Title in Arabic: التحليل الاحصائية باستخدام SPSS وبرمجية R
Organizer(s): AITRS
Description: تلعب البرمجيات وتوفر التطبيقات دورا هاما في المساعدة على تحليل وإنتاج المعلومات والمؤشرات الإحصائية بأشكال حديثة قابلة للفهم بيسر ومعبرة عن النتائج مع الاشارة الى ضرورة اختيار البرمجية والتطبيقية الجاهزة التي تساعد في التحليل والدراسة لا سيما ان بعض التطبيقات أصبحت متخصصة لتحليل ظاهرة معينة بشكل أكفأ من غيرها. كما توصي بعض الجهات المانحة باستخدام تلك التطبيقات لأغراض المقارنة وبناء تراكمي لبيانات الدولة او الجهة الإحصائية قصد التعامل مع كافة أنواع البيانات وأشكالها في التحليل الاحصائي من حيث حجم البيانات او نوعها بعد عملية تنظيف البيانات وترميزها لتكون جاهزة للتحليل واستخلاص النتائج ومن ثمة تفسير تلك النتائج. أن للتحليل الإحصائي دور كبير في اختصار الوقت وتوفير الجهد وإعطاء نتائج دقيقة حيث يوجد عدد من برامج التحليل الإحصائي تمكن من القيام بتحليل إحصائي لمجموعات البيانات الخاصة به. وتأتي هذه الورشة لتعريف المشاركين على استخدام (R & SPSS)، والالمام ببعض الجوانب التفصيلية لكلٍّ منها. والقيام بإجراء عمليات التحليل الإحصائي على البيانات وفهم معناها ووصفها بطريقة إحصائية سليمة. وبناءً على طلب الجهاز المركزي للاحصاء في الجمهورية اليمنية ينظم المعهد ورشة محلية لصالح موظفي جهاز الاحصاء في اليمن. يتضمن منهاج الورشة المواضيع التالية: * مقدمة عن برنامج SPSS * كيف تبدأ بتشغيل الحزمة البرامجية SPSS * استعراض Variable view * استعراض Data view * استعراض مكونات قوائم البرنامج (file, edit, view, data, transform, analyze, graphs, utilities, help ) بشكل موجز * كيفية فتح ملف بيانات How to Open SPSS File * كيفية إدخال البيانات Data Entry * تعريف المتغيرات وعنونتها Variable Label, Value Label * كيفية حفظ/تخزين ملف البيانات How to Save SPSS File * طلب أو تصدير ملف بيانات من برامج أخرى (Excel,…) * كيفية الخروج من الحزمة البرامجية How to Exit from SPSS * استعراض قائمة Transform * استعراض قائمة Data * استعراض قائمة Analyze * التحليل الوصفي للبيانات Descriptive Analysis * التوزيعات التكرارية Frequencies * الجداول / الجداول المتقاطعة Cross tabulation & Tables كما سيتم التركيز على تدريب عملي على نماذج التحليل واستخدام وتفسير مقايس إحصائية بالاضافة الى تمارين وامثلة عملية . اما الفترة الثانية من الدورة فتخصص الى برمجية R وسيتم التركيز بالاساس على المحاور التالية: * تعريف واستخدامات برمجية R * تحميل البرمجية وتعريف الادوات الخاصة بها وكيفية التعامل مع كل إدارة * تطبيقيات برمجية R امثلة عملية وتجارب * الأوامر والايعازات في لغة R * كتابة البرامج وتنفيذها * استخراج النتائج ونشرها باستخدام أدوات النشر الحديثة بواسطة برمجية R
Source: Eurostat (Data extracted on: 03 May 2021 )
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Organizer(s): Eurostat Icon-Institut
Description: Objectives: * To provide participants with a specific knowledge of the features recently included within JDEMETRA+ and run the tool within the R environment; * To train the participants to use JDEMETRA+ for purposes different from seasonal adjustment, such as estimation of missing values temporal disaggregation, benchmarking, forecasting and analysis of revisions; * To prepare and to motivate the participants to become integral part of the extended network in charge of testing (software releases), maintaining (fixing bugs) and extending (new plug-ins) the tool.
Target Audience: Advanced users of seasonal adjustment methods involved in regular/massive data production and/or developers involved in the integration of SA methods in their IT environment wishing to enhance their knowledge of the JDEMETRA+ tool and/or using or potentially developing relative plug-ins. Ideal participants are either young statisticians with some interest in IT or young IT specialist with some interest in statistics. People currently using TRAMO/SEATS and/or X12 family product and/or old version of DEMETRA/JDEMETRA+ family products aiming at implementing the latest JDEMETRA+ version. ESTP Trainings are open to non-ESS members if capacity allows after ESS needs are fulfilled.
Source: Eurostat (Data extracted on: 21 Dec 2020 )
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Organizer(s): Eurostat Icon-Institut
Description: Learn how to extract relevant information for statistical purposes from huge amounts of data.
Target Audience: IT professionals whose role is to support statisticians with big data infrastructure, either via local big data clusters or via cloud solutions, and the engineering of big data processing. Methodologists and statisticians with a strong IT background who are expected to handle big data infrastructures and unstructured data. ESTP Trainings are open to non-ESS members if capacity allows after ESS needs are fulfilled.
Source: Eurostat (Data extracted on: 03 May 2021 )
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Organizer(s): Eurostat Icon-Institut
Description: The main objectives of the course are: * Introducing the participants to the Python language and ecosystem; * Make the participants able to read and write basic Python programs for common data processing tasks (data analysis, exploration and visualization).
Target Audience: Official statisticians (including managers) involved in Big Data and Data Science activities having no specific knowledge on this subject; Official statisticians (including managers) who, without being directly involved in Big Data and Data Science activities, need basic knowledge on the use of the Python language. ESTP Trainings are open to non-ESS members if capacity allows after ESS needs are fulfilled.
Title in Arabic: استخدام البرمجيات الاحصائية في التحليل الاحصائيSPSS & STATA
Organizer(s): AITRS
Description: تلعب البرمجيات وتوفر التطبيقات دورا هاما في المساعدة على تحليل وإنتاج المعلومات والمؤشرات الإحصائية بأشكال حديثة قابلة للفهم بيسر ومعبرة عن النتائج مع الاشارة الى ضرورة اختيار البرمجية والتطبيقة الجاهزة التي تساعد في التحليل والدراسة لا سيما ان بعض التطبيقات أصبحت متخصصة لتحليل ظاهرة معينة بشكل أكفأ من غيرها. كما توصي بعض الجهات المانحة باستخدام تلك التطبيقات لأغراض المقارنة وبناء تراكمي لبيانات الدولة او الجهة الإحصائية قصد التعامل مع كافة أنواع البيانات وأشكالها في التحليل الاحصائي من حيث حجم البيانات او نوعها بعد عملية تنظيف البيانات وترميزها لتكون جاهزة للتحليل واستخلاص النتائج ومن ثمة تفسير تلك النتائج. أن للتحليل الإحصائي دور كبير في اختصار الوقت وتوفير الجهد وإعطاء نتائج دقيقة حيث يوجد عدد من برامج التحليل الإحصائي تمكن من القيام بتحليل إحصائي لمجموعات البيانات الخاصة به. وتأتي هذه الورشة لتعريف الاجهزة الاحصائية على برنامجين مستخدمين في الأجهزة الإحصائية للتعرف على استخدامهما وهما (STATA & SPSS)، والالمام ببعض الجوانب التفصيلية لكلٍّ منها. تهدف الدورة الى تعزيز قدرات العاملين في الأجهزة الاحصائية العربية بموضوع التحليل الاحصائي باستعمال برامج التحليل بصورة جيدة والقيام بإجراء عمليات التحليل الإحصائي على البيانات وفهم معناها ووصفها بطريقة إحصائية سليمة. وسوف تغطي الدورة المواضيع التالية: * مقدمة عن برنامجي SPSS وSTATA ومميزات كل منهما في اجراء التحليل الاحصائي. * الخطوات الأساسية لاستخدام برنامجي SPSS و STATA في التحليل. * التعريف بأهم الاوامر المستخدمة لتعريف البيانات ومتغيراتها ووصفها واعادة تصنيفها وانشاء متغيرات جديدة. * كيفية إنشاء الجداول وإعداد إجراءات التحليل الإحصائي البسيط والتعامل مع المخرجات. * التعرف على كيفية دمج الملفات.
Source: Eurostat (Data extracted on: 21 Dec 2020 )
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Organizer(s): Eurostat EFTA
Description: The main objectives of the course are: * Introduce the GSBPM and how it applies to quality control in NSI’s; * Introduce R and its basic functions; * Present how R can be used within NSI’s for processing, analyzing and creating output for users; * Introduce the tidyverse and how it can be used for data wrangling; * Present ggplot and how it can be used to produce graphs; * Introduce Rmarkdown and how to write reports through R.
Target Audience: Statisticians working in the production of official statistics, especially data processing and analysis. No specific experience within official statistics is necessary. The course should both be relevant for junior as well as senior statisticians. ESTP Trainings are open to non-ESS members if capacity allows after ESS needs are fulfilled.
Description: In this short course, you will learn to read and reshape a dataset from the World Bank, filter observations and select variables to produce an analysis data set and finally to produce figures. Customizing, enhancing and annotating data visualizations follows. R software with be used with functions included the tidyverse suite of packages being highlighted (dplyr, tidyr and ggplot2 in particular).
Target Audience: General audience. Some exposure to using R is recommended although not strictly required.
Topics:
Original webpage was deleted, archived version from the Internet Archive (not a UN service): Link
Description: تعتبر برمجية R من بين أهم البرمجيات المتوفرة حاليا التي تستعمل في معالجة البيانات الضخمة وهي الاكثر استعمالا في الوقت الحالي بالنظر لما توفره من خاصيات فنية وسهولة الاستعمال وجودة النتائج المستخرجة، بالاضافة الى انها مجانية ومصدر مفتوح للجميع. فبرمجية R هي لغة ونظام مترابط لإجراء العمليات الإحصائية والأشكال البيانية وتوفر أساليب إحصائية وبيانية مختلفة (النماذج الخطية وغير الخطية، الاختبارات الإحصائية الكلاسيكية، تحليل السلاسل الزمنية، التبويب، العنقدة، ...الخ). لذلك، سيعمل المعهد على تخصيص وقتا كافيا لتدريب المشاركين في الدورات على التمكن من التعامل مع هذه البرمجية بسهولة وسلاسة بهدف معالجة البيانات الضخمة وتحليلها والرفع من قدرة الاجهزة الاحصائية العربية على استعمال المصادر الجديدة للبيانات والاستفادة منها قدر الامكان.
Description: Recurrent event data arise when the event of interest can recur in the same individual during follow-up. Some examples of recurrent events include sequences of hospital admissions, infection episodes, and tumor recurrences. Standard survival analysis methods that focus only on time to the first event cannot capture the cumulative experience of the recurrent events and could lead to invalid inferences. For this reason, the development of statistical methods that appropriately address the structure of recurrent events has attracted considerable attention. This short course introduces the R package reReg, which provides a collection of tools for exploratory analysis and nonparametric and semiparametric methods for analyzing recurrent event data.
Target Audience: This course’s intended audience includes researchers who want to gain basic exposure to analysing recurrent event data with the ultimate goal of incorporating R into their research programs.
Topics:
Original webpage was deleted, archived version from the Internet Archive (not a UN service): Link
Source: Eurostat (Data extracted on: 21 Dec 2020 )
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Organizer(s): Eurostat EFTA
Description: An understanding of how a business intelligence tool like Power BI can be used in public statistics. Being able to import data to Power BI from different sources and visualizing them in Dashboards, making it easy to consume for yourself or other end-users. Knowledge of how BI-tools might supplement more typical statistical programming software.
Target Audience: Staff of national statistical institutes (including newcomers) who are involved in the production process and interested in learning new tools for visualizing and consuming data. ESTP Trainings are open to non-ESS members if capacity allows after ESS needs are fulfilled.
Description: The aim of this course is to equip national and international stakeholders with the necessary skills for using STATA statistical software to analyze the labour market for the purposes of evidence-based policy-making, including SDG and decent work indicators.
Topics:
Original webpage was deleted, archived version from the Internet Archive (not a UN service): Link
Description: The aim of this course is to equip national and international stakeholders with the necessary skills for using STATA statistical software to analyze the labour market for the purposes of evidence-based policy-making, including SDG and decent work indicators.
Target Audience: Statisticians and analysts from national statistical offices, ministries of labour and related institutions (such as labour observatories) and other government agencies responsible for labour-market data analysis and national SDG reporting; research and academic institutions; international organizations; development agencies; non-governmental organizations.
Source: Eurostat (Data extracted on: 21 Dec 2020 )
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Organizer(s): Eurostat Icon-Institut
Description: Objectives: * Validation and reporting results of machine learning methods. * Mathematical concepts of supervised and unsupervised machine and deep learning models, like PCA, SVM, trees, ensembles and neural networks. * Use of scikit-learn, matplotlib, pandas, tensorflow, keras to design models and perform machine learning experiments. * Understanding of symbolic computation for backpropagation and gradient descent. * Model selection, Hyper-parameter tuning and practical considerations. * Understanding the lego bricks of neural networks (deep learning) and the numerical issues, in particular vanishing gradients. * Use pretrained models for text and vision applications with libraries like deeppavlov and detectron2.
Target Audience: Python programmers with ambitions to apply machine and deep learning in software engineering and research questions. ESTP Trainings are open to non-ESS members if capacity allows after ESS needs are fulfilled.
Source: Eurostat (Data extracted on: 21 Dec 2020 )
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Organizer(s): Eurostat Icon-Institut
Description: The goal of this activity is to provide participants with basic knowledge about the syntax and basis of the R programming language and to provide an overview of the main packages which are important for the statistical production process. The activity will pay special attention to these packages devoted to management of large databases and the analysis of complex surveys.
Target Audience: Statistical production units and methodologist of NSIs. ESTP Trainings are open to non-ESS members if capacity allows after ESS needs are fulfilled.
Source: Eurostat (Data extracted on: 21 Dec 2020 )
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Organizer(s): Eurostat
Description: To provide the participants with a basic understanding of the main concepts of seasonal and calendar adjustment, trend cycle, irregular components and related time-series issues To introduce the participants to the use of software JDEMETRA+
Target Audience: Staff of national statistical institutes (including newcomers) involved in the production process who want to acquire a good understanding of Seasonal Adjustment (SA) methods and practices. ESTP Trainings are open to non-ESS members if capacity allows after ESS needs are fulfilled.
Description: The International Association of Survey Statisticians () presents this short auto-instructional course, including: introductory videos, and course notes with theoretical lessons, followed by tutorials for practical computer sessions in R, and computer workshops. In the practical sessions, participants will conduct tasks using the methods and software presented. Examples with data are presented and used in the practical sessions. Short videos, course materials, data files, and R scripts are provided on this website. Main topics include probability sampling designs, an introduction to the analysis of survey data, point and standard error estimation, model selection and model fitting, and plotting survey data.
Description: 8th International Conference Use of R in Official Statistics Side events include the unconfUROS hackathon and an R crash course. The call for abstracts for presentations and tutorials is published on the conference's website www.urosconf.org.
Source: Eurostat (Data extracted on: 17 Nov 2020 )
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Organizer(s): Eurostat EFTA
Description: The main objectives of the course are: * introduce the GSBPM and how it applies to quality control in NSI’s; * introduce R and its basic functions; * present how R can be used within NSI’s for processing, analyzing and creating output for users; * introduce the tidyverse and how it can be used for data wrangling; * present ggplot and how it can be used to produce graphs; * introduce Rmarkdown and how to write reports through R.
Target Audience: Statisticians working in the production of official statistics, especially data processing and analysis. No specific experience within official statistics is necessary. The course should both be relevant for junior as well as senior statisticians. ESTP Trainings are open to non-ESS members if capacity allows after ESS needs are fulfilled.
The Use of R in Official Statistics: model based estimates
17 Nov 2020 – 20 Nov 2020
Source: Eurostat (Data extracted on: 06 Aug 2020 )
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Organizer(s): Eurostat GOPA
Description: The goal of this activity is to provide participants with basic knowledge about the syntax and basis of the R programming language and to provide an overview of the main packages which are important for the statistical production process. The activity will pay special attention to these packages devoted to management of large databases and the analysis of complex surveys.
Target Audience: Statistical production units and methodologist of NSIs. ESTP Trainings are open to non-ESS members if capacity allows after ESS needs are fulfilled.
Big data tools for IT professionals supporting statisticians
09 Nov 2020 – 30 Nov 2020
Source: Eurostat (Data extracted on: 17 Nov 2020 )
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Organizer(s): Eurostat Icon-Institut
Description: Learn how to extract relevant information for statistical purposes from huge amounts of data.
Target Audience: IT professionals whose role is to support statisticians with big data infrastructure, either via local big data clusters or via cloud solutions, and the engineering of big data processing. Methodologists and statisticians with a strong IT background and who are expected to handle big data infrastructure on their own. ESTP Trainings are open to non-ESS members if capacity allows after ESS needs are fulfilled.
Description: This course aims to equip national and international stakeholders with the necessary skills to use STATA statistical software for analysing the labour market in evidence-based policy-making, including the SDGs and decent work indicators.
Target Audience: Statisticians and analysts from national statistical offices, ministries of labour and related institutions (such as labour observatories) and other government agencies responsible for labour-market data analysis and national SDG reporting; research and academic institutions; international organizations; development agencies; non-government organizations.
Course Language: English
Topics:
Original webpage was deleted, archived version from the Internet Archive (not a UN service): Link
