Foscore Development Center New developments in data science offer a tremendous opportunity to improve decision-making. In the development world, there has been an increase in the number of data gathering initiative such as baseline surveys, Socio-Economic Surveys, Demographic and Health Surveys, Nutrition Surveys, Food Security Surveys, Program Evaluation Surveys, Employees, customers and vendor satisfaction surveys, and opinion polls among others, all intended to provide data for decision making. It is essential that these efforts go beyond merely generating new insights from data but also to systematically enhance individual human judgment in real development contexts. How can organizations better manage the process of converting the potential of data science to real development outcomes This ten days hands-on course is tailored to put all these important consideration into perspective. It is envisioned that upon completion, the participants will be empowered with the necessary skills to produce accurate and cost effective data and reports that are useful and friendly for decision making. It will be conducted using SurveyCTO, GIS, NVIVO and STATA DURATION 2 Weeks LEARNING OBJECTIVES · Understand and appropriately use statistical terms and concepts · Design and Implement universally acceptable Surveys · Convert data into various formats using appropriate software · Use mobile data gathering tools such as SurveyCTO · Use GIS software to plot and display data on basic maps · Qualitative data analysis using NVIVO · Workflow use commands in STATA · Manage, edit and structure large databases in STATA · Generating descriptive statistics in STATA · Creating powerful publication-quality graphs in STATA · Data Analysis/Estimations in STATA · Write reports from survey data · Put strategies to improve data demand and use in decision making WHO SHOULD ATTEND? This is a general course targeting participants with elementary knowledge of Statistics from Agriculture, Economics, Food Security and Livelihoods, Nutrition, Education, Medical or public health professionals among others who already have some statistical knowledge, but wish to be conversant with the concepts and applications of statistical modeling. TOPICS TO BE COVERED Module1: Basic statistical terms and concepts
· Introduction and Key Concepts · Overview of ODK and Kobotolbox · Advantages of SurveyCTO · Key Features of SurveyCTO · Case studies on use of SurveyCTO Module 5:SurveyCTO Server · Components of SurveyCTO · Data aggregation, storage, and dissemination · Setting up a SurveyCTO server · Managing users & user roles Module 6:Setting Up SurveyCTO Collect App · Installing SurveyCTO collect from google play store · Configuring SurveyCTO collect app · SurveyCTO Collect Application Interface Module 7:SurveyCTO Online Form builder · Creating a form · Input types · Adding question to Form · Form logics · Import and export forms Module 8:Building Forms using XLSForms · Introduction to xlsform designer · Components of XlSForm · Question types · Handling constraints and required options · Form skip logic · Form Operators and Functions · Grouping Questions · Settings Worksheet · Importing xlsforms to surveyCTO server Module 9:Using SurveyCTO Collect · Managing forms in SurveyCTO Collect · Collecting GPS data · Submitting data to SurveyCTO Server Module 10:Monitoring Data with SurveyCTO Data Explorer · Monitoring Submission statistics · Monitoring Form submissions and dataset · Reviewing and correcting incoming data · Summarize data submitted for individual fields · Summarize the empirical relationships between field Module 11:Data Management · Exporting &Exporting data from SurveyCTO as CSV via SurveyCTO Sync · Importing SurveyCTO – CSV file into statistical applications · Downloading data directly from SurveyCTO Module 12:Visualizing Geographic Data · Exporting GPS Coordinates to Google maps and Google Earth · Exporting GPS data for Mapping/Visualizing Module 13: GIS mapping of survey data using QGIS · Introduction to GIS for Researchers and data scientists · Importing survey data into a GIS · Mapping of survey data using QGIS · Exercise: QGIS mapping exercise. Module 14:Understanding Qualitative Research · Qualitative Data · Types of Qualitative Data · Sources of Qualitative data · Qualitative vs Quantitative · NVivo key terms · The NVivo Workspace Module 15:Preliminaries of Qualitative data Analysis · What is qualitative data analysis · Approaches in Qualitative data analysis; deductive and inductive approach · Points of focus in analysis of text data · Principles of Qualitative data analysis · Process of Qualitative data analysis Module 16:Introduction to NVIVO · NVIVO Key terms · NVIVO interface · NVIVO workspace · Use of NVIVO ribbons Module 17:NVIVO Projects · Creating new projects · Creating a new project · Opening and Saving project · Working with Qualitative data files · Importing Documents · Merging and exporting projects · Managing projects · Working with different data sources Module 18:Nodes in NVIVO · Theme codes · Case nodes · Relationships nodes · Node matrices · Type of Nodes, · Creating nodes · Browsing Nodes · Creating Memos · Memos, annotations and links · Creating a linked memo Module 19:Classes and summaries · Source classifications · Case classifications · Node classifications · Creating Attributes within NVivo · Importing Attributes from a Spreadsheet · Getting Results; Coding Query and Matrix Query Module 20: Coding · Data-driven vs theory-driven coding · Analytic coding · Descriptive coding · Thematic coding · Tree coding Module 21:Thematic Analytics in NVIVO · Organize, store and retrieve data · Cluster sources based on the words they contain · Text searches and word counts through word frequency queries. · Examine themes and structure in your content Module 22:Queries using NVIVO · Queries for textual analysis · Queries for exploring coding Module 23: Building on the Analysis · Content Analysis; Descriptive, interpretative · Narrative Analysis · Discourse Analysis · Grounded Theory Module 24: Qualitative Analysis Results Interpretation · Comparing analysis results with research questions · Summarizing finding under major categories · Drawing conclusions and lessons learned Module 25: Visualizing NVIVO project · Display data in charts · Creating models and graphs to visualize connections · Tree maps and cluster analysis diagrams · Display your data in charts · Create models and graphs to visualize connections · Create reports and extracts Module 26: Triangulating results and Sources · Triangulating with quantitative data · Using different participatory techniques to measure the same indicator · Comparing analysis from different data sources · Checking the consistency on respondent on similar topic Module 27: Report Writing · Qualitative report format · Reporting qualitative research · Reporting content · Interpretation Module 28: Introduction to Statistical concepts and general analytics IN STATA · Research design · Samples and populations · Comparison of experimental and non-experimental designs · Exploring variable types Module 29: Familiarizing with the application · Datasets · Commands · Working with variables in Stata · Basic analysis using Stata Module 30: Charting and Graphical presentation using Stata · Classifying different charts and processing them using STATA · Understanding the Graph command syntax · Graphs for categorical Vs Numeric variables · Managing chart output in STATA · Multivariate charting Module 31: Statistical Tests using Stata · One Sample T Test · Independent Samples T Test · Paired Samples T Test · One-Way ANOVA Module 32: Measures of Associations in Stata · Chi-Square test · Pearson's Correlation · Spearman's Rank-Order Correlation Module 33: Predictive Models using Stata · Linear Regression · Multiple Regression · Logistic Regression · Ordinal Regression Module 34: Panel Data Analysis using Stata · Exploration of panel data · Fixed effects model/LSDV · Random effects model · Choosing the appropriate model Module 35: Time Series Analysis using Stata · Introduction to time series analysis using Stata · Plotting a time series · Seasonal differences · Auto correlations · Forecast models in Stata Module 36: Econometric Analysis · Econometric Analysis of cross-sectional data · Econometric Analysis of panel data · Econometric Analysis of time-series data Module 37: Report writing for surveys, data dissemination, demand and use · Writing a report from survey data · Communication and dissemination strategy · Context of Decision Making · Improving data use in decision making · Culture Change and Change Management · Preparing a report for the survey, a communication and dissemination plan and a demand and use strategy. · Presentations and joint action planning General Notes · All our courses can be Tailor-made to participants needs · The participant must be conversant with English · Presentations 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.READMORE 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, innovations, designs, methodologies, understandings, applications and solutions for specified problems on mutually agreed terms and conditions. Services in this category include monitoring and evaluation services, tracer studies, baseline surveys, training needs assessments, customer and employee satisfaction, work environment assessments, development programs, impact ’assessments’ studies and market survey. We bring these research skills to bear on the capacity needs assessment, strategy development and investment planning as described in this proposal. 3. Training and Capacity Development: FDC-K provides tailor-made in-service courses, lasting from a few days to several weeks. The training is aimed at improving knowledge, skills and competence that results in better performance and high professional productivity. Courses offered are delivered by qualified professionals from relevant disciplines and specializations. This experience has given FDC-K a unique advantage as we see the capacity gaps among the professional and develop strategies to fill them regularly. We bring this expertise to addressing issues facing the institutional capacity development plans as needed by this proposal.
Select course of your preference Register online as individual, online training or group and you will automatically receive invoice and invitation letter to enable your attendance. Online Training classes are instructor-led, live online training you attend from your home or work or in one of our local computer labs. Our live online instructors teach you from a remote location while being able to interact with other participants as in a traditional training setting.This will include:
FDC Training Team Telephone office: +254712260031 Email training@fdc-k.org Contact our training team directly via WhatsApp |
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