{"id":4181,"date":"2024-11-20T09:33:49","date_gmt":"2024-11-20T09:33:49","guid":{"rendered":"https:\/\/stepsureresearchinstitute.org\/stage\/?post_type=course&p=4181"},"modified":"2025-04-01T16:42:35","modified_gmt":"2025-04-01T16:42:35","slug":"research-design-surveycto-mobile-data-collection-gis-mapping-data-analysis-using-nvivo-and-python","status":"publish","type":"course","link":"https:\/\/stepsureresearchinstitute.org\/stage\/course\/research-design-surveycto-mobile-data-collection-gis-mapping-data-analysis-using-nvivo-and-python\/","title":{"rendered":"Research Design, SurveyCTO Mobile Data Collection, GIS Mapping Data Analysis using NVIVO and PYTHON"},"content":{"rendered":"

COURSE INTRODUCTION<\/strong>
\nIn recent years, the growing use of data science has dramatically improved decision-making processes across various sectors. There is an increasing amount of data being gathered through initiatives like baseline surveys, demographic health surveys, socio-economic surveys, food security surveys, and employee\/customer satisfaction assessments. These efforts aim to gather data that is crucial for informed decision-making.<\/p>\n

It is important for organizations to go beyond just generating insights from data. They must focus on systematically enhancing human judgment in real-world scenarios. How can organizations harness the power of data science to drive real-world development outcomes? This hands-on training, which spans 10 days, aims to address these important considerations. By the end of the course, participants will gain practical skills in producing accurate, actionable, and cost-effective data reports for decision-making.<\/p>\n

The course will cover the use of SurveyCTO, GIS, NVIVO, and Python.<\/p>\n

COURSE DURATION<\/strong>
\n2 Weeks<\/p>\n

LEARNING OBJECTIVES<\/strong>
\nUnderstand key statistical terms and concepts.
\nDesign and implement effective and universally accepted surveys.
\nConvert data into various formats using appropriate software.
\nUtilize mobile data collection tools like SurveyCTO.
\nUse GIS software to plot and display survey data on maps.
\nAnalyze qualitative data using NVIVO.
\nUse Python for data science and machine learning tasks.
\nExplore Spark for big data analysis.
\nLearn to implement machine learning algorithms.
\nWork with Numpy for numerical data processing.
\nUtilize Pandas for data analysis and Matplotlib for plotting.
\nCreate interactive dynamic visualizations.
\nLearn advanced machine learning techniques like K-Means Clustering, Logistic Regression, Random Forest, and Support Vector Machines.
\nImplement Natural Language Processing (NLP) and Spam Filters.
\nGain insights into Neural Networks.
\nWrite comprehensive reports from survey data.
\nFormulate strategies to enhance data use for better decision-making.
\nWHO SHOULD ATTEND?<\/strong>
\nThis course is designed for professionals from diverse fields such as Agriculture, Economics, Nutrition, Food Security, Public Health, Education, and more. It is ideal for individuals who already have basic knowledge of statistics and wish to deepen their understanding of statistical modeling and its real-world applications.<\/p>\n

COURSE MODULES<\/strong>
\nModule 1: Introduction to Statistical Concepts
\nBasic statistical concepts.
\nDescriptive statistics.
\nInferential statistics.
\nModule 2: Research Design
\nThe role and purpose of research design.
\nTypes of research designs.
\nThe research process and methodology.
\nExercise: Develop a research design based on a selected project.
\nModule 3: Survey Planning, Implementation, and Completion
\nOverview of survey types.
\nSurvey process and design.
\nSampling methods and sample size determination.
\nPlanning and conducting surveys.
\nPost-survey tasks.<\/p>\n

Module 4:<\/strong><\/p>\n

Introduction to SurveyCTO
\nIntroduction and key features of SurveyCTO.
\nAdvantages over other platforms like ODK and KoBoToolbox.
\nCase studies on SurveyCTO applications.
\nModule 5:<\/p>\n

SurveyCTO Server Setup
\nSurveyCTO components and server setup.
\nData aggregation, storage, and dissemination.
\nModule 6:<\/p>\n

SurveyCTO Collect App Setup
\nInstalling and configuring the SurveyCTO Collect app.
\nExploring the app interface.
\nModule 7:<\/p>\n

SurveyCTO Online Form Builder
\nCreating forms using SurveyCTO’s form builder.
\nUsing various input types and logic to design dynamic forms.
\nModule 8:<\/p>\n

Building Forms with XLSForms
\nIntroduction to XLSForm design.
\nHandling constraints, skip logic, and other form features.
\nModule 9:<\/p>\n

Collecting Data with SurveyCTO
\nManaging forms and submitting data from the SurveyCTO Collect app.
\nCollecting GPS data and sending it to the SurveyCTO server.
\nModule 10<\/p>\n

: Data Monitoring and Management
\nMonitoring submissions and form progress using SurveyCTO Data Explorer.
\nExporting and managing data for analysis.
\nModule 11:<\/p>\n

Visualizing Geographic Data Using GIS
\nExporting GPS coordinates for mapping.
\nUsing QGIS for mapping survey data.
\nModule 12:<\/p>\n

Qualitative Research and NVIVO
\nUnderstanding qualitative data and analysis.
\nIntroduction to NVIVO for qualitative data analysis.
\nManaging NVIVO projects, nodes, and coding.
\nConducting thematic and content analysis using NVIVO.
\nModule 13:<\/p>\n

Introduction to Python for Data Science
\nSetting up Python and Jupyter notebooks.
\nWorking with libraries like Numpy, Pandas, Matplotlib, and Seaborn.
\nIntroduction to machine learning and data visualization techniques.
\nModule 14:<\/p>\n

Advanced Data Science Techniques
\nLearning about big data analysis with Spark.
\nImplementing machine learning algorithms.
\nWorking with K-Means Clustering, Decision Trees, and Random Forest.
\nModule 15:<\/p>\n

Report Writing and Data Dissemination
\nWriting clear and comprehensive reports from survey data.
\nStrategies for communicating results to decision-makers.
\nCOURSE DETAILS
\nDuration: 2 Weeks
\nLocation: Stepsure Training And Research Institute (can also be customized for in-house or online training).
\nFee: The course fee includes training, materials, two coffee breaks, lunch, and a completion certificate.
\nContact Info:
\nEmail: info@stepsureresearchinstitute.org
\nPhone: +254 723 482 495
\nWebsite: www.stepsureresearchinstitute.org<\/p>\n","protected":false},"featured_media":4184,"parent":0,"template":"","categories":[78],"class_list":["post-4181","course","type-course","status-publish","has-post-thumbnail","hentry","category-surveycto-gis-nvivo-and-python"],"acf":[],"yoast_head":"\nResearch Design, SurveyCTO Mobile Data Collection, GIS Mapping Data Analysis using NVIVO and PYTHON - Stepsuretraining<\/title>\n<meta name=\"description\" content=\"Research Design, SurveyCTO Mobile Data Collection, GIS Mapping Data Analysis using NVIVO and PYTHON These efforts aim to gather data that is crucial for informed decision-making.\" \/>\n<meta name=\"robots\" content=\"index, follow, max-snippet:-1, max-image-preview:large, max-video-preview:-1\" \/>\n<link rel=\"canonical\" href=\"https:\/\/stepsureresearchinstitute.org\/stage\/course\/research-design-surveycto-mobile-data-collection-gis-mapping-data-analysis-using-nvivo-and-python\/\" \/>\n<meta property=\"og:locale\" content=\"en_US\" \/>\n<meta property=\"og:type\" content=\"article\" \/>\n<meta property=\"og:title\" content=\"Research Design, SurveyCTO Mobile Data Collection, GIS Mapping Data Analysis using NVIVO and PYTHON - 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