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      Data Collection,Management,Analysis and Mapping Using ODK,Stata And QGIS. in Nairobi

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      December 16, 2019

      Monday   8:30 AM

      Westlands Road , 104834-00101
      Nairobi, Nairobi Municipality

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      Data Collection,Management,Analysis and Mapping Using ODK,Stata And QGIS.

      Dear All, RE:DATA COLLECTION,MANAGEMENT,ANALYSIS AND MAPPING USING ODK,STATA AND QGIS. Tech For Development -T4D would like to invite you to a high impact Training Course in Data Collection,Management,Analysis and Mapping Using ODK,Stata And QGIS. to be held in Nairobi, Kenya from 16th to 27th Dec,2019 Event Information Course Name: Data Collection,Management,Analysis and Mapping Using ODK,Stata And QGIS. Venue: Tech for Development Training Center, Nairobi, Kenya Event Date: 16th to 27th Dec,2019 Course Fee: KES 220,000 OR USD 2,200 Online Registration: Register here Introduction ODK Open data kit, commonly referred to as ODK is a set of popular free and open source tools that allow us to collect data using mobile devices. Being a pioneer tool of its nature, ODK is one of the most popular mobile data collection tools. The fact that ODK is free and open source also makes it a darling to users considering the budget constraints that come with projects. Other reasons for its popularity include but not limited to: Allows offline data collection, has an active online community and support base, ability to collect rich data (photos, audio, video, signature etc), ability to collect location data (points, traces and polygon), allows collaboration and data sharing, enables data aggregation, management and visualization on cloud platforms amongst others. Stata From simple to complex datasets, STATA makes it easy for analysts to maximize the use of their data. Other than quantitative data analyses, STATA can be used for exploring and analyzing geo-tagged datasets. The Graphical User Interface (GUI) of STATA is user-friendly for beginners, and those not familiar with commands. On the other hand, STATA commands are simple and easy to grasp. You can use STATA for analyzing socio-economic datasets, experimental datasets, and medical survey datasets among others. QGIS (Mapping) A Geographic Information System is a multi-component environment used to create, manage, visualize and analyze data and its spatial counterpart. Most datasets you will encounter in your lifetime can all be assigned a spatial location whether on the earth’s surface or within some arbitrary coordinate system (such as a soccer field or a gridded petri dish). So, in essence, any dataset can be represented in a GIS. QGIS is a very capable open source (free) GIS software. It encompasses most of the functionality included in ArcGIS. If you are looking for a free, open source and easy to use GIS software QGIS is a wonderful choice given its multi-platform support. Duration 10 days Why this course Data collection, management, analyses and mapping has always been a bully for many people, either because of their divergent academic background from research/statistics/GIS and/or mathematics, or because they have not been introduced well to understanding data and analyzing it for information purposes. Whether you are a researcher or a member of project management team, evidence-based decision making is becoming a mandatory tool in organizations and for prioritizing development needs. Facts must be presented in figures and qualitative values in order to justify them for decision purposes. Based on these needs, the course has been specifically designed to help participants understand data collection, organization, management, basic data analyses in STATA and mapping in QGIS. Participants will also learn useful statistical concepts for data analyses procedures and results interpretation. Who should attend Any person willing to learn mobile data collection using ODK, data management and analysis using STATA and mapping using QGIS to  improve their general knowledge on data collection, management, analyses and mapping for academic research, organizational data, or wanting to switch to new technologies for data processing has the right footing to this course. You do not have to be a researcher, statistician, an academician or have prior knowledge in GIS in order to attend. Requirements Participants are advised to bring a PC laptop with Windows XP Service Pack 3 or later with at least 2GB of RAM. You should also ensure that the laptop is installed with a genuine antivirus and is well updated. If your computer is password protected please ensure that you have the administrator password for the purpose of installing software during the training. Course Outline ODK (Mobile Data Collection) Digitizing your questionnaire Introduction to basic XLSForm syntax for survey authoring Getting started – Survey authoring using XLSForm syntax Types of questions Data types for each question and form logic Intermediate survey authoring Advanced survey authoring Form Validation and Conversion for ODK Aggregate Troubleshooting common syntax errors Introduction to ODK Collect ODK Collect installation and configuration Uploading forms into ODK Collect manually Downloading form into ODK Collect from ODK Aggregate server Introduction to Google app engine/Digital Ocean/AWS for ODK Introduction to ODK Aggregate ODK Aggregate – Download and setup ODK Aggregate administration and calibration Data analysis in ODK aggregate  Downloading data from ODK Aggregate Introduction to ODK Briefcase Download and setup ODK Briefcase Introduction to Data Management, Surveys and Experimental Designs Data Collection Techniques Introduction to STATA datasets, Edit, Browse, List, Generating Variables, Codebook, Use written programs) Data Management in STATA (Import, Data Labelling, Handling Duplicates, Missing Values, Reshape, Append, Merge, Collapse, Data Transformation, Creating Dummy Variables) Data Exploration (Simple tables, cross tabulation with measures of association, Measures of Central Tendency, Outliers, Quartiles, Percentiles, Skewness, Kurtosis, Variance, Standard Deviation, Standard Errors, Ladder/Gladder) Data Graphing (Pie charts, bar graphs, histograms, scatter plots, line graphs, panel graphs, QQ plots, matrix plots, survival curves, etc.) Advanced Analyses (Normality tests, variance tests, t-tests, One-way & Two-way ANOVA, MANOVA, ANCOVA, OLS Regression, Logistic/Binomial Regression, Factor Analyses/PCA, GLM, Cox Regression, Other Regression Models) Basic conceptual understanding of cartography, GIS, and mapping Gain familiarity with geographic data and information, and how it's encoded within computer files Gain a basic familiarity with the QGIS interface Gain awareness of spatial reference and projection issues Practice opening a variety of geographic data with QGIS and viewing their attributes within QGIS Perform basic map styling Create and export a basic map as a static image file Load shape files and CSV data into QGIS Data transformation Create classed choropleth map Adjust the legend to help the map tell a clearer story Load tabular CSV data into QGIS and performing a tabular join Obtaining and working with US Census data Understand and perform geocoding of tabular data Learn about some of the geocoding tools available online Understand and perform a point in polygon analysis Map point data Create a 'heat map' representation of the data Georeferencing Digitizing data Digitizing data with Open Street Map in QGIS Introduction to Open Street Map Importing OpenStreetMap data Importing OpenStreetMap data: SpatialLite Database Data filtering and extraction Exporting layers to a local CRS Introduction to Geoprocessing Geoprocessing with a buffer analysis Extracting and preparing thematic OSM data Filtering OSM data to create desired features Managing CRSs in a Geoprocessing Workflow Extracting attribute types of interest Creating a buffer around a Polyline feature Clipping features within a buffer Geoprocessing functions Using the Graphical Processing Modeler to automate workflows Device calibration (Mobile Phones/Tablets) – ODK Collect Hosting survey data (Online) – ODK Aggregate Downloading data for analysis ODK Briefcase calibration and administration Stata (Data Management and analysis) QGIS (Mapping) Introduction, cartography and GIS, and creating maps in QGIS Thematic data mapping, Geocoding and point in polygon analysis Heat maps, creating and editing vector Geometries Expected Training Outcomes By the end of this training course participants will have learnt: How to develop, manage and administer and implement a mobile data collection platform using ODK. The core statistical concepts, clearly demonstrate data management and analyses skills in STATA. How to develop maps and perform geographical data analysis in QGIS Hand-on Exercise Action plan Visit our website for more details. Tailor-made training This training course can also be tailored for your organization. This way, your organization will benefit by:  Using own datasets and tools during the training. Being able to choose areas of interest you wish the trainer to put more emphasis on. Taking the course in-house or at a venue of choice. Cutting on the cost of transport and accommodation. Testimonials Kindly visit this link to see video and photo testimonials of our previous training events. FAQs Need more information? Kindly visit this link to see answers to frequently asked questions. How to participate Register as individual. Contact information Email: Tel: +254 706909947 Website:   Kind regards. Sylvia Kura, Customer Relationship Officer, Tech For Development Innovation for impact                    

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