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Data-Afrique consultancy <[log in to unmask]>
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Date:
Wed, 6 Mar 2024 23:29:01 +0000
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 Training 

Course On Research Design, Mobile Data Collection, Mapping And Data Analysis 

Using Nvivo And Python 

 

Dates

Fees

Location

Apply

11/03/2024 - 22/03/2024

$3000

Nairobi



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Online 

      Class

08/04/2024 - 19/04/2024

$3950

Kigali



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Online 

      Class

13/05/2024 - 24/05/2024

$5500

Dubai



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Online 

      Class

10/06/2024 - 21/06/2024

$3000

Nairobi



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Online 

      Class

08/07/2024 - 19/07/2024

$3000

Nairobi



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Online 

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08/07/2024 - 19/07/2024

$3000

Nairobi



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Online 

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12/08/2024 - 23/08/2024

$3000

Nairobi



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Online 

      Class

09/09/2024 - 20/09/2024

$3000

Nairobi



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Online 

      Class

11/11/2024 - 22/11/2024

$3000

Mombasa



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Online 

      Class

09/12/2024 - 20/12/2024

$3000

Nairobi



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Online 

      Class

14/10/2024 - 25/10/2024

$3950

Kigali



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Our 202 Training Calendar 

 

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Contact us

 



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Whatapp

 

INTRODUCTION

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 considerations 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 ODK, GIS, NVIVO and PYTHON

COURSE 

OBJECTIVES

At 

the end of course participants should be able to:

·        

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 Open Data Kit (ODK)

·        

Use 

GIS software to plot and display data on basic maps

·        

Qualitative 

data analysis using NVIVO

·        

Python 

for Data Science and Machine

·        

Spark 

for Big Data Analysis

·        

Implement 

Machine Learning Algorithms

·        

Numbly 

for Numerical Data

·        

Pandas 

for Data Analysis

·        

Matplotlib 

for Python Plotting

·        

Seaborn 

for statistical plots

·        

interactive 

dynamic visualizations

·        

SciKit-Learn 

for Machine Learning Tasks

·        

K-Means 

Clustering, Logistic Regression and Linear Regression

·        

Random 

Forest and Decision Trees

·        

Natural 

Language Processing and Spam Filters

·        

Neural 

Networks

·        

Support 

Vector Machines

·        

Write 

reports from survey data

·        

Put 

strategies to improve data demand and use in decision 

making

DURATION

10 

Days

WHO 

SHOULD ATTEND

The course 

targets 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.

COURSE 

CONTENT

Module1: 

Basic statistical terms and concepts

·        

Introduction 

to statistical concepts

·        

Descriptive 

Statistics

·        

Inferential 

statistics

Module 

2: Research Design

·        

The 

role and purpose of research design

·        

Types 

of research designs

·        

The 

research process

·        

Which 

method to choose?

·        

Exercise: 

Identify a project of choice and developing a research 

design

Module 

3: Survey Planning, Implementation and Completion

·        

Types 

of surveys

·        

The 

survey process

·        

Survey 

design

·        

Methods 

of survey sampling

·        

Determining 

the Sample size

·        

Planning 

a survey

·        

Conducting 

the survey

·        

After 

the survey

·        

Exercise: 

Planning for a survey based on the research design 

selected

Module 

4: Introduction

·        

Introduction 

to Mobile Data gathering

·        

Benefits 

of Mobile Applications

·        

Data 

and types of Data

·        

Introduction 

to common mobile based data collection platforms

·        

Managing 

devices

·        

Challenges 

of Data Collection

·        

Data 

aggregation, storage and dissemination

·        

Types 

of questions

·        

Data 

types for each question

·        

Types 

of questionnaire or Form logic

·        

Extended 

data types geoid, image and multimedia

Module 

5: Survey Authoring

·        

Design 

forms using a web interface using:

·        

ODK 

Build

·        

Koboforms

·        

PurcForms

·        

Hands-on 

Exercise

Module 

6: Preparing the mobile phone for data collection

·        

Installing 

applications: ODK Collect

·        

Using 

Google play

·        

Manual 

install (.apk files)

·        

Configuring 

the device (Mobile Phones)

 

THE 

END

 

Looking 

forward to your attendance.

 

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