Research Design, Mobile Data Collection, Mapping & Data Analysis Using NVIVO & Python

Course Overview

Dive into the world of data science with our comprehensive 10-day course designed to enhance decision-making through innovative data gathering and analysis techniques. In today's development landscape, data collection initiatives such as baseline surveys, socio-economic surveys, and health surveys play a crucial role in informed decision-making. This course on Research Design, Mobile Data Collection, Mapping & Data Analysis Using NVIVO & Python is crafted to help organizations harness the full potential of data science to achieve real development outcomes.

Conducted using powerful tools like ODK, GIS, NVIVO, and Python, this hands-on course will equip you with the skills to produce accurate, cost-effective data and reports, crucial for decision-making.

Course Objectives

By the end of this course, participants will be able to:

• Master statistical terms and concepts for better data interpretation.
• Design and implement effective surveys.
• Convert data into various formats using the latest software.
• Utilize mobile data gathering tools such as Open Data Kit (ODK).
• Use GIS software to create and analyze maps.
• Perform qualitative data analysis using NVivo.
• Leverage Python for data science and machine learning applications.
• Implement big data analysis with Spark.
• Execute machine learning algorithms effectively.
• Utilize tools like NumPy, Pandas, and Matplotlib for data manipulation and visualization.
• Apply advanced machine learning techniques like neural networks and support vector machines.
• Compile comprehensive reports from survey data.
• Develop strategies to improve data usage in decision-making.

Who Should Attend?

This course is ideal for professionals with a basic understanding of statistics, including those from fields such as agriculture, economics, food security, nutrition, education, and public health. It's perfect for anyone looking to deepen their understanding of statistical modeling and data science applications.

Course Content

Module 1: Basic Statistical Terms and Concepts

• Introduction to essential statistical concepts
• Descriptive and inferential statistics

Module 2: Research Design

• Importance and types of research designs
• The research process and method selection
• Exercise: Develop a research design for a chosen project

Module 3: Survey Planning and Implementation

• Types of surveys and the survey process
• Survey design, sampling methods, and execution
• Exercise: Plan a survey based on your research design

Module 4: Mobile Data Collection

• Introduction to mobile data gathering and its benefits
• Managing devices and overcoming data collection challenges
• Data types, questionnaire logic, and advanced data types

Module 5: Survey Authoring

• Design forms using web interfaces like ODK Build and Koboforms
• Hands-on exercise in form creation

Module 6: Preparing Mobile Devices for Data Collection

• Installing and configuring ODK Collect and other applications