Invitation to M&E,Data analysis and Humanitarian training
Title: Invitation to M&E,Data analysis and Humanitarian training FDC TrainingsDownload PDF CalendarFoscore Development Center Research and Data Analysis Skill Based Trainings Data Analysis, Modeling and Simulation using Excel CourseData Collection and Management using CSPRO CourseMobile Data Collection using ODK & KoboToolBox for Monitoring and Evaluation CoursePanel Data Models in Stata courseQualitative Data Management and Analysis with NVIVO courseQuantitative Data Management and Analysis with R courseQuantitative Data Management and Analysis with SASQuantitative Data Management and Analysis with SPSS courseQuantitative Data Management and Analysis with STATAQuantitative Data management, analysis and Visualization with PythonResearch Design, ODK Mobile Data Collection, GIS Mapping, Data Analysis using NVIVO and SPSS CourseResearch Design, SurveyCTO Mobile Data Collection, GIS Mapping Data Analysis using NVIVO and PYTHONResearch Design, SurveyCTO mobile data collection,GIS mapping and data analysis using NVIVO and SPSSResearch Design, SurveyCTO mobile data collection,GIS mapping, Data analysis using NVIVO and STATA cResearch Design,ODK Mobile Data Collection,GIS Mapping, Data Analysis using NVIVO and STATA CourseResearch Design,ODK Mobile Data Collection,GIS Mapping,Data Analysis using NVIVO and PYTHON CourseResearch Design,ODK Mobile Data Collection,GIS Mapping,Data analysis using NVIVO and R courseProject Management, Monitoring & Development Evaluation online Trainings Advanced Microsoft Project (MS Project) CourseAdvanced Monitoring and Evaluation for Development Results CourseAdvanced Project Management courseGIS for Monitoring and Evaluation CourseImpact Evaluation for Evidence-Based Policy in Development courseMobile Data Collection using ODK & KoboToolBox for Monitoring and Evaluation CourseMonitoring and Evaluation for Food Security and Nutrition CourseMonitoring and Evaluation for Governance courseMonitoring Evaluation and Data Analysis for Community Based Projects CourseProject Administration, Negotiation skills and Contract Management courseProject Appraisals and Impact Evaluations courseProject Management Monitoring and Evaluation with MS Projects CourseProject Monitoring and Evaluation with Data Management and Analysis courseProject Proposal and Report Writing Skill courseHumanitarian Training'sCommunity Based Risk Reduction CourseCommunity Development Training CourseDisaster and Risk Management CourseGender Analysis and Development CourseGender Equity Achievement in Development Projects CourseGender Mainstreaming, Analysis and Planning CourseGender-based Violence courseGis for Disaster Risk Management CourseHuman Rights Leadership Development CourseMulti-Hazard Early Warning Systems CoursePublic Health in WASH during Emergencies CourseRural Development courseSustainable Local Economic Development CourseTrauma Support and Counselling CourseFoscore Development Centre (FDC-K)Foscore Development Center Kenya (FDC-K) is a global training and consulting firm that has been assisting organizations and individuals to achieve their objectives and goals. We specialize in monitoring and evaluation, impact assessment of institutional, human capacity development needs assessment, strategy development, investment planning, implementation and talent development solutions for individuals and organizations, through our highly customized program delivery courses. We have experienced expert teams in a wide array of disciplines to meet the requirements of our clients and investors.The FDC-K is dedicated to delivering holistic workplace professional, vocational, educational and capacity development solutions aimed at bettering the performance of individuals and groups within the organizations. We also do capacity development solutions through training, software development and sales, among others. The services offered by the FDC-K Consultancy Unit are divided into three (3) broad categories, namely: Service Consultancy, Contract Research, Training and Capacity Building described as follows:1. Service Consultancy: FDC-K provides expert professional advice in specific areas identified by the client based on client requirements and specifications. Some services in this area include management and business advisory services, information technology services, risk management and advisory services, enterprise risk management services, standardization and compliance services, strategic planning services, among others. We apply these services towards the capacity development programs, as shown below.2. Contract Research: These are services which revolve around research-based consultancy services which leads to the generation of new knowledge, synthesis and analysis of existing knowledge to formulate new creative concepts, innovation
Invitation to Quantitative Data Management and Analysis with R training
Title: Invitation to Quantitative Data Management and Analysis with R training Quantitative Data Management and Analysis with R course-Sep 28 to Oct 2,2020 for 5 DaysUse this link to Register online attendance or Normal attendance as individual or groupDownload PDF CalendarFoscore Development Center IntroductionThis course is designed for participants who plan to use R for the management, coding, analysis and visualization of qualitative data. The course’s content is spread over seven modules and includes: Basics of Applied Statistical Modelling, Essentials of the R Programming, Statistical Tools, Probability Distributions, Statistical Inference, Relationship between Two Different Quantitative Variables and Multivariate Analysis. The course is entirely hands-on and uses sample data to learn R basics and advanced features.DURATION5 daysWHO SHOULD ATTEND?Statistician, analyst, or a budding data scientist and beginners who want to learn how to analyze data with R,Course Objective:Analyze t data by applying appropriate statistical techniquesInterpret the statistical analysisIdentify statistical techniques a best suited to data and questionsStrong foundation in fundamental statistical conceptsImplement different statistical analysis in R and interpret the resultsBuild intuitive data visualizationsCarry out formalized hypothesis testingImplement linear modelling techniques such multiple regressions and GLMsImplement advanced regression analysis and multivariate analysisCourse contentMODULE ONE:Basics of Applied Statistical ModellingIntroduction to the Instructor and CourseData & Code Used in the CourseStatistics in the Real WorldDesigning Studies & Collecting Good Quality DataDifferent Types of DataMODULE TWO: Essentials of the R Programming Rationale for this sectionIntroduction to the R Statistical Software & R StudioDifferent Data Structures in RReading in Data from Different SourcesIndexing and Subletting of DataData Cleaning: Removing Missing ValuesExploratory Data Analysis in RMODULE THREE: Statistical Tools Quantitative DataMeasures of CenterMeasures of VariationCharting & Graphing Continuous DataCharting & Graphing Discrete DataDeriving Insights from Qualitative/Nominal DataMODULE FOUR: Probability DistributionsData Distribution: Normal DistributionChecking For Normal DistributionStandard Normal Distribution and Z-scoresConfidence Interval-TheoryConfidence Interval-Computation in RMODULE FIVE: Statistical Inference Hypothesis TestingT-tests: Application in RNon-Parametric Alternatives to T-TestsOne-way ANOVANon-parametric version of One-way ANOVATwo-way ANOVAPower Test for Detecting EffectMODULE SIX: Relationship between Two Different Quantitative VariablesExplore the Relationship Between Two Quantitative VariablesCorrelationLinear Regression-TheoryLinear Regression-Implementation in RConditions of Linear RegressionMulti-collinearityLinear Regression and ANOVALinear Regression With Categorical Variables and Interaction TermsAnalysis of Covariance (ANCOVA)Selecting the Most Suitable Regression ModelViolation of Linear Regression Conditions: Transform VariablesOther Regression Techniques When Conditions of OLS Are Not MetRegression: Standardized Major Axis (SMA) RegressionPolynomial and Non-linear regressionLinear Mixed Effect ModelsGeneralized Regression Model (GLM)Logistic Regression in RPoisson Regression in RGoodness of fit testingMODULE SEVEN: Multivariate AnalysisIntroduction Multivariate AnalysisCluster Analysis/Unsupervised LearningPrincipal Component Analysis (PCA)Linear Discriminant Analysis (LDA)Correspondence AnalysisSimilarity & Dissimilarity Across SitesNon-metric multi-dimensional scaling (NMDS)Multivariate Analysis of Variance (MANOVA)General NotesAll our courses can be Tailor-made to participants needsThe participant must be conversant with EnglishPresentations are well guided, practical exercise, web based tutorials and group work. Our facilitators are expert with more than 10years of experience.Upon completion of training the participant will be issued with Foscore development center certificate (FDC-K)Training will be done at Foscore development center (FDC-K) center in Nairobi Kenya. We also offer more than five participants training at requested location within Kenya, more than ten participant within east Africa and more than twenty participant all over the world.Course duration is flexible and the contents can be modified to fit any number of days. Learn MoreFoscore Development Centre (FDC-K)Foscore Development Center Kenya (FDC-K) is a global training and consulting firm that has been assisting organizations and individuals to achieve their objectives and goals. We specialize in monitoring and evaluation, impact assessment of institutional, human capacity development needs assessment, strateg
Invitation to Quantitative Data Management and Analysis with R training
Title: Invitation to Quantitative Data Management and Analysis with R training Quantitative Data Management and Analysis with R course-Sep 28 to Oct 2,2020 for 5 DaysUse this link to Register online attendance or Normal attendance as individual or groupDownload PDF CalendarFoscore Development Center IntroductionThis course is designed for participants who plan to use R for the management, coding, analysis and visualization of qualitative data. The course’s content is spread over seven modules and includes: Basics of Applied Statistical Modelling, Essentials of the R Programming, Statistical Tools, Probability Distributions, Statistical Inference, Relationship between Two Different Quantitative Variables and Multivariate Analysis. The course is entirely hands-on and uses sample data to learn R basics and advanced features.DURATION5 daysWHO SHOULD ATTEND?Statistician, analyst, or a budding data scientist and beginners who want to learn how to analyze data with R,Course Objective:Analyze t data by applying appropriate statistical techniquesInterpret the statistical analysisIdentify statistical techniques a best suited to data and questionsStrong foundation in fundamental statistical conceptsImplement different statistical analysis in R and interpret the resultsBuild intuitive data visualizationsCarry out formalized hypothesis testingImplement linear modelling techniques such multiple regressions and GLMsImplement advanced regression analysis and multivariate analysisCourse contentMODULE ONE:Basics of Applied Statistical ModellingIntroduction to the Instructor and CourseData & Code Used in the CourseStatistics in the Real WorldDesigning Studies & Collecting Good Quality DataDifferent Types of DataMODULE TWO: Essentials of the R Programming Rationale for this sectionIntroduction to the R Statistical Software & R StudioDifferent Data Structures in RReading in Data from Different SourcesIndexing and Subletting of DataData Cleaning: Removing Missing ValuesExploratory Data Analysis in RMODULE THREE: Statistical Tools Quantitative DataMeasures of CenterMeasures of VariationCharting & Graphing Continuous DataCharting & Graphing Discrete DataDeriving Insights from Qualitative/Nominal DataMODULE FOUR: Probability DistributionsData Distribution: Normal DistributionChecking For Normal DistributionStandard Normal Distribution and Z-scoresConfidence Interval-TheoryConfidence Interval-Computation in RMODULE FIVE: Statistical Inference Hypothesis TestingT-tests: Application in RNon-Parametric Alternatives to T-TestsOne-way ANOVANon-parametric version of One-way ANOVATwo-way ANOVAPower Test for Detecting EffectMODULE SIX: Relationship between Two Different Quantitative VariablesExplore the Relationship Between Two Quantitative VariablesCorrelationLinear Regression-TheoryLinear Regression-Implementation in RConditions of Linear RegressionMulti-collinearityLinear Regression and ANOVALinear Regression With Categorical Variables and Interaction TermsAnalysis of Covariance (ANCOVA)Selecting the Most Suitable Regression ModelViolation of Linear Regression Conditions: Transform VariablesOther Regression Techniques When Conditions of OLS Are Not MetRegression: Standardized Major Axis (SMA) RegressionPolynomial and Non-linear regressionLinear Mixed Effect ModelsGeneralized Regression Model (GLM)Logistic Regression in RPoisson Regression in RGoodness of fit testingMODULE SEVEN: Multivariate AnalysisIntroduction Multivariate AnalysisCluster Analysis/Unsupervised LearningPrincipal Component Analysis (PCA)Linear Discriminant Analysis (LDA)Correspondence AnalysisSimilarity & Dissimilarity Across SitesNon-metric multi-dimensional scaling (NMDS)Multivariate Analysis of Variance (MANOVA)General NotesAll our courses can be Tailor-made to participants needsThe participant must be conversant with EnglishPresentations are well guided, practical exercise, web based tutorials and group work. Our facilitators are expert with more than 10years of experience.Upon completion of training the participant will be issued with Foscore development center certificate (FDC-K)Training will be done at Foscore development center (FDC-K) center in Nairobi Kenya. We also offer more than five participants training at requested location within Kenya, more than ten participant within east Africa and more than twenty participant all over the world.Course duration is flexible and the contents can be modified to fit any number of days. Learn MoreFoscore Development Centre (FDC-K)Foscore Development Center Kenya (FDC-K) is a global training and consulting firm that has been assisting organizations and individuals to achieve their objectives and goals. We specialize in monitoring and evaluation, impact assessment of institutional, human capacity development needs assessment, strateg
