Training Course On Mobile Data Collection And Data Management Using Commcare

Registrations

https ://data-afriqueconsultancy. org/course/22

Course Date

Location

13/02/2023-17/02/2023

Mombasa,Kenya

20/03/2023-24/03/2023

Nairobi,Kenya

17/04/2023-21/04/2023

Nairobi,Kenya

15/05/2023-19/05/2023

Dubai,UAE

19/06/2023-23/06/2023

Mombasa,Kenya

INTRODUCTION

CommCare is an open source cloud-based, mobile and web platform for non-programmers that lets you make apps that you can deploy on android devices as well as in the cloud and other cell phone devices. Data collection is a vital part of any developmental work. In previous year’s data collection used to be done on paper and pen which was prone to a lot of errors and difficult to conduct on large scale. However the current ICT tools now allows us to create surveys, collect, manage and upload data to storage facilities in real time. This training will equip the participants with skills to author, field and manage data collection using CommCare.

COURSE OBJECTIVES

At the end of course participants should be able to:

• Convert paper forms/questionnaires into digital forms that can be use for mobile data collection and case management
• Build basic mobile application, install and use on phone.
• View, manage and export Data within CommCare
• Mapping and visualization of CommCare data

DURATION

5 Days

WHO SHOULD ATTEND

This training will equip the participants with skills to author, field and manage mobile data collection platform using CommCare.

COURSE CONTENT

Module I: Introduction to CommCare and Benefits

• Introduction and Key Concepts
• Methodologies
• Advantages
• Disadvantages
• Setting up your CommcareHQ
• Navigating through ComCareHQ
• Case study
• Best practices

Module II: Building a basic application

• System design
• Setting Up Your Project Space
• Building your application
• Designing forms using the form builder
• Adding form logic
• Creating a follow up form

Module III: Refining Your Application for Case Management

• Setting up cases
• Loading case data
• Update EDD
• Testing your application
• Closing cases

Module IV: Publishing and Installing Your Application & More

• Managing Mobile Workers and Web Users
• Managing Captured Data
• Installing an Application on Android
• Setting Up Multimedia in the Application
• Common Logic and Calculations Additional
• Information on Managing Cases

Module V

• Presentation and review of participants course projects with the instructors.
• Action plan
• Closure.

GENERAL NOTES

• This course is delivered by our seasoned trainers who have vast experience as expert professionals in the respective fields of practice. The course is taught through a mix of practical activities, theory, group works and case studies.
• Training manuals and additional reference materials are provided to the participants.
• Upon successful completion of this course, participants will be issued with a certificate.
• We can also do this as tailor-made course to meet organization-wide needs. Contact us to find out more: training@ data-afriqueconsultancy. org
• The training will be conducted at DATA-AFRIQUE TRAINING CENTRE, NAIROBI KENYA.
• The training fee covers tuition fees, training materials, lunch and training venue. Accommodation and airport transfer are arranged for our participants upon request.
• Payment should be sent to our bank account before start of training and proof of payment sent to: training@ data-afriqueconsultancy. org

Registrations

https ://data-afriqueconsultancy. org/course/9

Location

13/02/2023-17/02/2023

Mombasa,Kenya

20/03/2023-24/03/2023

Nairobi,Kenya

17/04/2023-21/04/2023

Nairobi,Kenya

15/05/2023-19/05/2023

Dubai,UAE

19/06/2023-23/06/2023

Mombasa,Kenya

INTRODUCTION

This 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.

DURATION

5 days

WHO 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 techniques
• Interpret the statistical analysis
• Identify statistical techniques a best suited to data and questions
• Strong foundation in fundamental statistical concepts
• Implement different statistical analysis in R and interpret the results
• Build intuitive data visualizations
• Carry out formalized hypothesis testing
• Implement linear modelling techniques such multiple regressions and GLMs
• Implement advanced regression analysis and multivariate analysis

COURSE CONTENT

MODULE ONE: Basics of Applied Statistical Modelling

• Introduction to the Instructor and Course
• Data & Code Used in the Course
• Statistics in the Real World
• Designing Studies & Collecting Good Quality Data
• Different Types of Data

MODULE TWO: Essentials of the R Programming

• Rationale for this section
• Introduction to the R Statistical Software & R Studio
• Different Data Structures in R
• Reading in Data from Different Sources
• Indexing and Subletting of Data
• Data Cleaning: Removing Missing Values
• Exploratory Data Analysis in R

MODULE THREE: Statistical Tools

• Quantitative Data
• Measures of Center
• Measures of Variation
• Charting & Graphing Continuous Data
• Charting & Graphing Discrete Data
• Deriving Insights from Qualitative/Nominal Data

MODULE FOUR: Probability Distributions

• Data Distribution: Normal Distribution
• Checking For Normal Distribution
• Standard Normal Distribution and Z-scores
• Confidence Interval-Theory
• Confidence Interval-Computation in R

MODULE FIVE: Statistical Inference

• Hypothesis Testing
• T-tests: Application in R
• Non-Parametric Alternatives to T-Tests
• One-way ANOVA
• Non-parametric version of One-way ANOVA
• Two-way ANOVA
• Power Test for Detecting Effect

MODULE SIX: Relationship between Two Different Quantitative Variables

• Explore the Relationship Between Two Quantitative Variables
• Correlation
• Linear Regression-Theory
• Linear Regression-Implementation in R
• Conditions of Linear Regression
• Multi-collinearity
• Linear Regression and ANOVA
• Linear Regression With Categorical Variables and Interaction Terms
• Analysis of Covariance (ANCOVA)
• Selecting the Most Suitable Regression Model
• Violation of Linear Regression Conditions: Transform Variables
• Other Regression Techniques When Conditions of OLS Are Not Met
• Regression: Standardized Major Axis (SMA) Regression
• Polynomial and Non-linear regression
• Linear Mixed Effect Models
• Generalized Regression Model (GLM)
• Logistic Regression in R
• Poisson Regression in R
• Goodness of fit testing

MODULE SEVEN: Multivariate Analysis

• Introduction Multivariate Analysis
• Cluster Analysis/Unsupervised Learning
• Principal Component Analysis (PCA)
• Linear Discriminant Analysis (LDA)
• Correspondence Analysis
• Similarity & Dissimilarity Across Sites
• Non-metric multi-dimensional scaling (NMDS)
• Multivariate Analysis of Variance (MANOVA)

GENERAL NOTES

This course is delivered by our seasoned trainers who have vast experience as expert professionals in the respective fields of practice. The course is taught through a mix of practical activities, theory, group works and case studies.

Training manuals and additional reference materials are provided to the participants.

Upon successful completion of this course, participants will be issued with a certificate.

We can also do this as tailor-made course to meet organization-wide needs. Contact us to find out more: training@ data-afriqueconsultancy. org

The training will be conducted at DATA-AFRIQUE TRAINING CENTRE, Nairobi Kenya.

The training fee covers tuition fees, training materials, lunch and training venue. Accommodation and airport transfer are arranged for our participants upon request.

Payment should be sent to our bank account before start of training and proof of payment sent to: training@ data-afriqueconsultancy .org