Category Archives: Uncategorized

TRAINING OF TRAINERS (TOT) COURSE

TRAINING OF TRAINERS (TOT) COURSE

Start Date: 02/09/2019 End Date: 06/09/2019 for 5 days
Register online: https://bit.ly/2ZQBJ3n

Organizer: DATA-AFRIQUE CONSULTANCY (www.data-afriqueconsultancy.org)
Course fee: KSH 70,000, USD 1,000

INTRODUCTION

Whether training is your job or is something you do occasionally, this very practical Training of Trainers will build on your existing skills and increase your confidence to train any audience. The TOT engages participants in a comprehensive, multi-day distributive learning process that builds the knowledge and skills required to effectively train educators to deliver.

COURSE OBJECTIVES

At the end of course participants should be able to:

  • Learn the basics of adult learning theory and instructional design methodology;
  • Gain a foundation in carrying out Training Needs Analysis; developing learning objectives and evaluating the impact of training initiatives;
  • Learn and apply effective training/facilitation techniques for managing participants, engaging a variety of learning styles and creating an effective positive learning environment;
  • Manage training/facilitation challenges;
  • Obtain certain tools/techniques to assist with training and delivery.

DURATION

5 Days

WHO SHOULD ATTEND

The course targets trainers in the field of training needing to further develop their competences, in order to support their personal and professional development as trainers. Target audience are Faculty members of Training Institutions, Trainers and Training Staff from, in-house centres, Institutions and individuals interested in training and consultancy.

 

 

COURSE CONTENT

Concepts of adult learning

  • Adult Learning Cycle
  • Principles / notions of adult learning
  • The role of a trainer

Delivering a training course

  • How to start a course
  • Reasons and rules for “morning recap”

Delivering a training course (cont.)

  • Course Methods, Techniques and Tools
  • Facilitating discussions
  • Dealing with difficult situations
  • Conducting end of course evaluation
  • Practical exercises: Preparing and delivering a session

Designing a training course

  • Practical exercises: Preparing and delivering a session (continued)
  • How to do a Training Needs Assessment (TNA): Concept and tools
  • Defining objectives and course structure- Setting up the evaluation system (satisfaction, learning, transfer and impact)

Supporting transfer and integration

  • A coaching approach: training / mentoring / coaching
  • Challenges and opportunities of transferring and embedding learning
  • Tools, techniques and skills for supporting trainees
  • Basic coaching model

Course follow-up

  • Practicing the model
  • Plan of action, implementation and support
  • Personal awareness, managing relationships
  • Supporting trainees / participants from a distance
  • Evaluation of course outcome

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: 
  • 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 14 DAYS before start of training and proof of payment sent to:

 

 

 

                                                                                                                                           

 

 

 

 

 

 

 

 

 

 

 

TRAINING COURSE ON QUANTITATIVE DATA MANAGEMENT AND ANALYSIS WITH SPSS

TRAINING COURSE ON QUANTITATIVE DATA MANAGEMENT AND ANALYSIS WITH SPSS

Start Date: 02/09/2019 End Date: 06/09/2019 for 5 days
Register online: https://bit.ly/2M4eorv

Organizer: DATA-AFRIQUE CONSULTANCY (www.data-afriqueconsultancy.org)
Course fee: KSH 70,000, USD 1,000

INTRODUCTION

The training is essential in the development of better understanding of the concepts of statistics. It will provide the participants with a general idea of computer assisted data analysis. Additionally, the training will also focus on developing skills that are crucial to the transformation of data using SPSS.

COURSE OBJECTIVE

By the end of this course the participant should be able to:

  • Performing operations with data: define variables, recode variables, create dummy variables, select and weight cases, split files.
  • Building charts in SPSS: column charts, line charts, scatterplot charts, boxplot diagrams.
  • Performing the basic data analysis procedures: Frequencies, Descriptive, Explore, Means, Cross tabs.
  • Testing the hypothesis of normality
  • Detecting the outliers in a data series
  • Transform variables
  • Performing the main one-sample analyses: one-sample t-test, binomial test, chi square for goodness of fit
  • Performing the tests of association: Pearson and Spearman correlation, partial correlation, chi square test for association, loglinear analysis

DURATION

5 Days

WHO SHOULD ATTEND

The course targets project staff, researchers, managers, decision makers, and development practitioners who are responsible for projects and programs in an organization

COURSE CONTENT

  • Introduction
  • Defining variables
  • Variable recoding
  • Dummy variables
  • Selecting cases
  • File splitting
  • Data weighting
  • Creating Charts in SPSS
  • Column Charts
  • Line Charts
  • Scatterplot Charts
  • Boxplot Diagrams
  • Simple Analysis Techniques
  • Frequencies Procedures
  • Descriptive Procedure
  • Explore Procedure
  • Means Procedure
  • Crosstabs Procedure
  • Assumption Checking. Data Transformations
  • Checking for Normality – Numerical methods
  • Checking for Normality – Graphical methods
  • Detecting Outliers – Graphical methods
  • Detecting Outliers – Numerical methods
  • Detecting Outliers – How to handle the Outliers
  • Data transformations
  • One –sample test
  • One-sample T-test – Introduction
  • One-sample T-test – Running the procedure
  • Introduction to Binomial test
  • Binomial test with weighted data
  • Chi square for goodness-of-fit
  • Chi square for goodness-of-fit with weighted data
  • Pearson Correlation –Introduction
  • Pearson Correlation- assumption checking
  • Pearson Correlation-running the procedure
  • Spearman Correlation – Introduction
  • Spearman Correlation – Running the procedure
  • Partial Correlation – introduction
  • Chi Square for association
  • Chi Square for association with weighted data
  • Loglinear Analysis –Introduction
  • Loglinear Analysis – Hierarchical Loglinear Analysis
  • Loglinear Analysis – General Loglinear Analysis
  • Test for Mean Difference
  • Independent –sample T-test –Introduction
  • Independent –sample T-test – Assumption testing
  • Independent –sample T-test – resulting interpretation
  • Paired-Sample T-test – Introduction
  • Paired-Sample T-test – assumption testing
  • Paired-Sample T-test – results interpretation
  • One Way ANOVA – Introduction
  • One Way ANOVA – Assumption testing
  • One Way ANOVA – F test Results
  • One Way ANOVA – Multiple Comparisons’
  • Two Way ANOVA – Introduction
  • Two Way ANOVA – Assumption testing
  • Two Way ANOVA – Interaction effect
  • Two Way ANOVA – Simple main effects
  • Three Way ANOVA – Introduction
  • Three Way ANOVA – Assumption testing
  • Three Way ANOVA – third order interaction
  • Three Way ANOVA – simple second order interaction
  • Three Way ANOVA – simple main effects
  • Three Way ANOVA – simple comparisons
  • Multivariate ANOVA – Introduction
  • Multivariate ANOVA – Assumption checking
  • Multivariate ANOVA – Results Interpretation
  • Analysis of Covariance (ANCOVA) – Introduction
  • Analysis of Covariance (ANCOVA) – Assumption Checking
  • Analysis of Covariance (ANCOVA) – Results Interpretation
  • ANOVA – Introduction
  • ANOVA – Assumption Checking
  • ANOVA – Results Interpretation
  • ANOVA – Simple Main Effects
  • Mixed ANOVA – Introduction
  • Mixed ANOVA – Assumption checking
  • Mixed ANOVA – Interaction
  • Mixed ANOVA – Simple Main Effects
  • Predictive Techniques
  • Simple Regression – Introduction
  • Simple Regression – Assumption checking
  • Simple Regression – Results interpretation
  • Multiple Regression – Introduction
  • Multiple Regression – Assumption Checking
  • Multiple Regression – Results interpretation
  • Regression with Dummy variables
  • Sequential Regression
  • Binomial Regression
  • Binomial Regression – Introduction
  • Binomial Regression – Assumption checking
  • Binomial Regression – Goodness-of-Fit Indicators
  • Binomial Regression – Coefficient Interpretation
  • Binomial Regression – Classification Table
  • Multinomial Regression – Introduction
  • Multinomial Regression – Assumption Checking
  • Multinomial Regression – Goodness-of-Fit Indicators
  • Multinomial Regression – Coefficient Interpretation
  • Multinomial Regression – Classification Table
  • Ordinal Regression – Introduction
  • Ordinal Regression – Assumption Testing
  • Ordinal Regression – Goodness-of-Fit Indicators
  • Ordinal Regression – Coefficient Interpretation
  • Ordinal Regression – Classification Table
  • Scaling Techniques
  • Reliability Analysis
  • Multidimensional Scaling – Introduction
  • Multidimensional Scaling – PROXSCAL
  • Data Reduction
  • Principal Component Analysis – Introduction
  • Principal Component Analysis – Running the Procedure
  • Principal Component Analysis – Testing for Adequacy
  • Principal Component Analysis – Obtaining a Final Solution
  • Principal Component Analysis – Interpreting the Final Solutions
  • Principal Component Analysis – Final Considerations
  • Correspondence Analysis – Introduction
  • Correspondence Analysis – Running the Procedure
  • Correspondence Analysis – Results Interpretation
  • Correspondence Analysis – Imposing Category Constraints
  • Grouping Methods
  • Cluster Analysis – Introduction
  • Cluster Analysis – Hierarchical Cluster
  • Discriminant Analysis – Introduction
  • Discriminant Analysis – Simple DA
  • Discriminant Analysis – Multiple DA
  • Multiple Response Analysis

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: 

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 COURSE ON QUANTITATIVE DATA MANAGEMENT AND ANALYSIS WITH STATA

TRAINING COURSE ON QUANTITATIVE DATA MANAGEMENT AND ANALYSIS WITH STATA

Start Date: 26/08/2019 End Date: 30/08/2019 for 5 days
Register online: https://bit.ly/2MLLSun

Organizer: DATA-AFRIQUE CONSULTANCY (www.data-afriqueconsultancy.org)
Course fee: KSH 70,000, USD 1,000

INTRODUCTION

STATA refers to statistical software which is used in the management of data, analysis and graphics. It comprises of advanced functions which includes forecasting, survival analysis, data analysis, and time series analysis and survey methods. It can be utilized via graphical interface using very intuitive language. It benefits from the active user community which gives it support on a dedicated mailing.

COURSE OBJECTIVES

By the end of this course the participant should be able to:

  • Understand workflow use commands
  • Manage, edit and structure large databases
  • Generating descriptive statistics
  • Creating powerful publication-quality graphs
  • Data Analysis/Estimations

DURATION

5 Days

WHO SHOULD ATTEND

Statistician, analyst, or a budding data scientist and beginners who want to learn how to analyze data with STATA

COURSE CONTENT

Introduction to Statistical concepts and general analytics

  • Research design
  • Samples and populations
  • Comparison of experimental and non-experimental designs
  • Exploring variable types

Familiarizing with the application

  • Datasets
  • Commands
  • Working with variable in STATA
  • Basic analysis using ATATA

Charting and Graphical presentation using STATA

  • Classifying different charts and processing them using STATA
  • Understanding the Graph command syntax
  • Graphs for categorical Vs Numeric variables
  • Managing chart output in STATA
  • Multivariate charting

Statistical Test using STAT

  • One sample T-test
  • Independent Samples T-test
  • Paired Samples-T-test
  • One way ANOVA

Measures of Associations in STATA

  • Chi-Square test
  • Pearson’s Correlation
  • Spearman’s Rank –Order Correlation

Predictive Models Using STATA

  • Linear Regression
  • Multiple Regression
  • Logistic Regression
  • Ordinal Regression

Panel Data Analysis using STATA

  • Exploration of panel data
  • Fixed effects model/LSDV
  • Random effects model
  • Choosing the appropriate model

Time Series Analysis using STATA

  • Introduction to time series using STATA
  • Plotting a time series
  • Seasonal differences
  • Auto correlations
  • Forecasting models in STATA

Econometric Analysis

  • Econometric Analysis of cross-sectional data
  • Econometric Analysis of panel data
  • Econometric Analysis of time series-data

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: 
  • 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:

Post Graduate Diploma in Water Sanitation & Hygiene (PGD in WASH) (Special offer for June and July Intake)

Africa Center for Project Management is pleased to announce a Post Graduate Diploma in Water Sanitation & Hygiene (PGD in WASH) Online and Distance Learning Course, which starts 1st of every month.

Course Organizers:

Africa Center for Project Management was established in 2004 in Amsterdam with the Africa regional offices in Nairobi.The organization was corporate organizations in Africa and Asia by offering Online certificates and In-House trainings. The organization has over ten years experience working with development partners in capacity building in. We have trained over 5000 development and Business Professionals in various thematic areas.

Overall Course Overview:
It is estimated that over 1.2 billion people globally lack access to safe clean drinking water and a further 2.6 billion people lack access to adequate and comfortable sanitation. WHO (2005), estimates that 1.6 million die yearly from diarrhea and cholera which have been attributed to inaccessibility to clean drinking water as well as basic sanitation services. 90 of the figure is from children who are below five years and the trend is rampant in developing countries. Water, Sanitation and Hygiene (WASH) are some of the basic needs for human health to lead a normal life. WASH is a practical way of leading people from poverty since every person will be productive and money used to treat the diseases associated with dwindling levels of sanitation and clean water can be used in developing the economy. After decades of investments, an estimated of the words population especially those in third world countries remain with unreliable and unsafe water. Access to safe water is essential for the health, security, livelihood and quality of life and is especially critical to women and girls as they are the most affected and at the same time they are the ones to be burdened with the issues of collecting water. Access to safe human waste disposal methods is crucial for the health and well-being of a community. Lack of the same leads to higher costs of living to the community through pollution of rivers, ground water and higher incidence of air and water borne diseases.

Course Objectives

By the end of the course the learner should have garnered knowledge and skills on;
• The links between water, sanitation and
• The nature of, and the threats posed by, environmental diseases
• Effective hygiene promotion in a crisis context
• The complexity of delivering safe water and sanitation in an emergency
• The standard equipment used in the field for emergency WASH response.

Course Outline:

The course modules include the following
• Introduction to Cleanliness
• Hygiene Concepts
• Sanitation Education
• Public Health
• Solid and Liquid Waste Management
• Water Quality Monitoring and Surveillance
• Water and Sanitation related Diseases
• Hydrology and Geology
• Ecological and Environmental Protection
• Project Work and research
.

Assignments
There are nine assignments (continuous assessment tests),research paper and one examination to be offered at the end of the course. Assignments account for 60%,research paper accounts for 30% while Examination accounts for 10% of the marks. Upon completion of the course you shall be issued with a Diploma Certificate and a course transcript.

Examination
Certificate and Transcripts will be sent after successful completion of the course.

DURATION AND COURSE LOAD:52 Weeks – 5 to 6 hours per week
DATES: (12 Months) Course Starts 1st of Every Month.
PARTICIPANTS: Development Professionals
REGIONS TARGETED: Global
COURSE FEE: $700
ORGANIZERS: Africa Center for Project Management
LANGUAGE: English only
FORMAT: Web-based and Distance Learning facilitated
GENERAL COURSE CONTACT:
 

Diploma in Grants Management ( Special Offer for June and July Intake)

Africa Center for Project Management is pleased to announce a Diploma Course in Grants Management and Distance Learning Course, which starts 1st of every month.

Course Organizers:

Africa Center for Project Management was established in 2004 in Amsterdam with the Africa regional offices in Nairobi.The organization was corporate organizations in Africa and Asia by offering Online certificates and In-House trainings. The organization has over ten years experience working with development partners in capacity building in. We have trained over 5000 development and Business Professionals in various thematic areas.

Overall Course Overview:
The job of grants Management involves a difficult balancing act; ensuring that project staffs have the latitude to accomplish something meaningful and at the same time every obligation of the funding source is met. Depending on the operating style of your organization, the complexity of the project and the nature of the funding source, effective grants Management depend on certain core principles. These principles are valuable in helping to build trust with your donors and making the management process in your organization more orderly. The purpose of this course is to build the confidence and skills of those responsible for managing institutional donor grants and to meet donors’ financial terms & conditions when implementing programs. Effective grant management by project implementers can attract more funding for the organization.
Training Objectives
At the end of the course, participants will be able to: a) Identify and understand the critical terms and conditions of grant aid for donor-funded projects;
b) Ensure compliance with donor terms and conditions;
c) Providing supporting documents, correct procurement of goods and services and meeting financial reporting requirements;
d) Managing multiple-funded programmes;
e) Prepare a donor financial report to match with a project narrative report;
f) Describe the phases in the grant management cycle clarify key responsibilities and routines needed for successful grant management;
g) Identify the requirements for closing off a donor grant;
h) Manage the relationship with donors, head office and implementing partners with greater confidence;
i) Appreciate that finance and programme staff must work closely for Successful grant management.Training Approach
We strive to de-mystify financial and project management concepts to Overcome the fear of finance and grants management.Target Group
This course is specially designed for Project staff who manage institutional donor grants where programmes are implemented directly or through operational partners. The course is also suitable for both finance, administrative and non-finance staff who are new to grant management.

Course Outline:

a. Grant Management Overview
b. Grants Cycle
c. Internal controls
d. Budgeting
e. Procurement Management
f. Writing a Grant
g. Staff Motivation
h. Contract Management
i. Auditing
j. Writing Financial/ donor Reports
k. Closing a Grant

Assignments
There are four assignments(continuous assessment tests),research paper and one examination to be offered at the end of the course. Assignments account for 40%,research paper counnts for 30% while Examination accounts for 30% of the mark. Upon completion of the course you shall be issued with a Diploma Certificate and a course transcript.

Examination
Certificate and Transcripts will be sent after successful completion of the course.

DURATION AND COURSE LOAD: 24 Weeks – 5 to 6 hours per week
DATES: (Six Months) Course Starts 1st of Every Month.
PARTICIPANTS: Development Professionals
REGIONS TARGETED: Global
COURSE FEE: $500
ORGANIZERS: Africa Center for Project Management
LANGUAGE: English only
FORMAT: Web-based and Distance Learning facilitated
GENERAL COURSE CONTACT:

Food Security, Safety and Quality Training on 17th – 21st June, 2019

EVENT DETAILS : Food Security, Safety, and Quality Training

INTRODUCTION
Food security exists when all people have physical and economic access to sufficient, safe and nutritious food that meets their dietary needs and food preferences for an active and healthy life at all times. Food insecurity, on the other hand, is part of a continuum that includes hunger (food deprivation), malnutrition (deficiencies, imbalances, or excesses of nutrients), and famine. This training program is therefore designed to act as a guide on how to ensure access to safe and quality food is one of the human rights as well as a sustainable development goal.

DURATION
5 days

LEARNING OBJECTIVES
At the end of the training, the learner will be able to:

  • Understand basic skills in food security, safety, and quality.
  • Understand the classification of food into different food groups.
  • Understand what constitutes an adequate diet and optimal feeding to children.
  • Understand the relationship between nutrition and health.
  • Gain skills in cross-cutting issues in food security, quality, and safety.
  • Understand the role of technology in the realization of food security, quality, and safety.

FOOD SECURITY, SAFETY & QUALITY TRAINING CONTENT

Module 1:  Food & Nutrition Security
Module 2 : Nutrition & Health
Module 3:  Food Safety, Storage & Preservation
Module 4:  Food Quality
Module 5:  Cross-Cutting Issues
Module 6:  Technology application in Food &Nutrition Security

CUSTOMIZED TRAINING
This training can also be customized for your institution upon request. You can have it delivered your preferred location.

To register, click Register , fill in the details, and submit your registration by clicking “process registration”

For further inquiries, please contact us on
Tel: +254 (0) 739167709.
Email: 

cancel

Linking Emergency Aid to Food and Nutrition Security on 10th -14th June, 2019

Event Details: Linking Emergency Aid to Food and Nutrition Security Training

INTRODUCTION
Food insecurity and disasters are directly related; therefore, institutions dealing with food and nutrition security should be prepared for such adversities and device means to respond. Relief aid institutions also play part in maintenance of food and nutrition security in emergencies by providing relief aid. Food aid is all about providing food and related assistance to tackle hunger, either in emergency situations, or to help with deeper, longer-term hunger alleviation and achieve food security. Thus, this training programme is designed to enable participants to gain skills on how to prepare, measure, and respond to nutrition emergencies to sustain food security.

DURATION

5 days

LEARNING OBJECTIVES

By the end of the course, learners will be able to:

  • Understand classification of emergencies in particular famine and food crises. Food insecurity and malnutrition and how these have shaped operational response and practice.
  • Explore food and nutrition security context with the use of frameworks.
  • Use quantitative and qualitative methods to assess and monitor the food and nutrition security situations.
  • Study concepts of vulnerability, power, and gender in relation to emergencies and food and nutrition security.
  • Explore the links between relief and development.
  • Assess multi-stakeholder processes in relation to advocacy and change.

OUTLINE OF TOPICS TO BE COVERED IN THE PROGRAM

Module 1: Basic Concepts in Food and Nutrition Security Emergencies
Module 2: Food Security Analysis Frameworks
Module 3: Data Collection and Analysis of Food and Nutrition Security
Module 4: GIS and Remote Sensing Application in Food and Nutrition Security Analysis
Module 5: Food Aid and its Role in Nutrition Emergencies
Module 6: Cross-cutting issues in Maintaining Food and Nutrition Security in Emergencies

CUSTOMIZED TRAINING
This training can also be customized for your institution upon request. You can have it delivered your preferred location.

Agribusiness Finance and Risk Management Training

INTRODUCTION

Agribusiness finance plays a key role in setting up an agribusiness enterprise being a major factor of production. Therefore; this training explores the use of specific management tools to improve decision-making within an agribusiness firm so as to ensure effective sourcing and application of financial resources.

Agricultural risk management, on the other hand, is fundamental as it determines the rate at which an enterprise is to thrive and even last in the market. The aims of this training is to help participants realize their long-term organizational goals and objectives which are profit maximization which can only be achieved through cost minimization and output maximization.

DURATION

5 days

WHO SHOULD ATTEND?

This course is intended for various actors in Agriculture Extension (Agricultural extension officers, senior agricultural officials and policy makers) working with communities, in governments, funding agencies, Research organizations and non-government organizations among others for Agriculture support activities and other Development programs.

LEARNING OBJECTIVES

By the end of the training, the learner will be able to:

  • Gain skills in agribusiness investment and agribusiness finance.
  • Understand how financial statements are constructed in the agricultural sector and the general rules of construction they follow.
  • Acquire skills in agribusiness lending.
  • Identify major agricultural credit risks alongside the other agribusiness risks.
  • Understand risk mitigation and management tools for agricultural investment risks.
  • Understand financial data and what it says about a firm’s condition and direction.
  • Acquire skills in capital budgeting, how cash budgets are used to determine the process and how cash resources will be acquired and allocated over time by the agribusiness entity.

Click here to view the detailed course content here

CUSTOMIZED TRAINING

This training can also be customized for your institution upon request. You can have it delivered your preferred location.

For further inquiries, please contact us on details below:

Tel:  +254 (0) 739167709.

Email: training @versedpro.com

Register online to participate in this training

Mobile Data Collection using Kobo Toolbox Course.

Dear Colleague,

Have you always wanted to learn how to collect data using mobile phones?

We take this opportunity to invite you to our upcoming 5 days training course on Mobile Data Collection using Kobo Toolbox in Nairobi Kenya.

Become intimately familiar with all the four components of mobile data collection: data collection, hosting, visualization and analysis. This course is for professionals who want to strengthen their capacity in mobile data collection using innovative technologies.

Upon completion of the course, you will be able to set up and manage mobile data collection platforms using ODK, KoBo Toolbox and Magpi.

Target Participants
This course is for professionals who want to strengthen their capacity in mobile data collection using innovative technologies. No prior knowledge of ODK, KoBo Toolbox or Magpi is required.

Course Details & Online Registration
8th to 12th April 2019 SeriesOnline Registration
13th to 17th May 2019 SeriesOnline Registration
10th to 14th June 2019 SeriesOnline Registration
8th to 12th July 2019 SeriesOnline Registration
5th to 9th August 2019 SeriesOnline Registration
Course Objectives

This course will take participants through the tools, techniques, and technologies for data collection using mobile phones and devices.

At the end of the course, participants will be able to:
1. Digitize/transform questionnaire into mobile compatible formats.
2. Set up a cloud server for survey data hosting.
3. Configure mobile phones/devices for data collection.
4. Collect data offline (Without internet connection).
5. Upload data to a cloud server.
6. Visualize and analyze data online.
7. Download data for analysis.
8. Develop maps from survey data.

Software and platforms to be covered
• ODK – Open Data Kit
• KoBoToolbox
• Magpi
• QGIS
• Microsoft Excel

Course Fees

The course fee is KES 75,000.00 or USD 1,100.00 exclusive of VAT.
The course fees covers the course tuition, training materials, two (2) break refreshments, lunch and study visits. Participants will cater for their travel, accommodation and airport transfer costs.

Tailor Made course

These courses can also be tailored for an organization. This way, an organization will benefit by:
1. Using own datasets and tools during the training.
2. Being able to choose areas of interest they wish the trainer to put more emphasis on.
3. Taking the course in-house or at a venue of choice.

Mobile Data Collection Consultancies

Are you planning to collect data using mobile devices?

We will help you setup and implement a mobile based data collection platform.

We will digitize your questionnaires, set up a data hosting platform, calibrate your mobile devices and support you during and after data collection.

We have extensive knowledge and working experience in ODK, KoBo Toolbox, Open HDSS, CSPro for Mobile, Open MRS, Epi Info, Ena, Magpi, ona.io, Survey CTO amongst other tools.

Joint bids and sub-contracting

We are available for joint bids and sub-contracting for assignments such as market studies & surveys, baseline studies, mid-term evaluations, end-term evaluations and any other scientific studies.

We will bring in our expertise to set up a mobile data collection platform, oversee, administer and manage the data collection exercise.

Contact details

Email:
Tel: +254 706909947
Website: www.t4d.co.ke

Mobile Data Collection for M&E using ODK and KoBoToolbox Training Course.

Dear Colleague,

Have you always wanted to learn how to collect data using mobile phones?

We take this opportunity to invite you to our upcoming 5 days training courses in Mobile Data Collection for M&E using ODK and KoBoToolbox in Nairobi Kenya.

Become intimately familiar with all the four components of mobile data collection: data collection, hosting, visualization and analysis. This course is for professionals who want to strengthen their capacity in mobile data collection using innovative technologies.

Upon completion of the course, you will be able to set up and manage mobile data collection platforms using ODK, KoBo Toolbox and Magpi.

Target Participants
This course is for professionals who want to strengthen their capacity in mobile data collection using innovative technologies. No prior knowledge of ODK, KoBo Toolbox or Magpi is required.

Course Dates

22nd to 26th April 2019Register online here
27th to 31st May 2019Register online here
24th to 28th June 2019Register online here

Course Objectives
This course will take participants through the tools, techniques, and technologies for data collection using mobile phones and devices.

At the end of the course, participants will be able to:
1. Digitize/transform questionnaire into mobile compatible formats.
2. Set up a cloud server for survey data hosting.
3. Configure mobile phones/devices for data collection.
4. Collect data offline (Without internet connection).
5. Upload data to a cloud server.
6. Visualize and analyze data online.
7. Download data for analysis.
8. Develop maps from survey data.

Software and platforms to be covered
• ODK – Open Data Kit
• KoBoToolbox
• Magpi
• QGIS
• Microsoft Excel

Course Fees
The course fee is KES 75,000.00 or USD 1,100.00 exclusive of VAT.
The course fees covers the course tuition, training materials, two (2) break refreshments, lunch and study visits. Participants will cater for their travel, accommodation and airport transfer costs.

Tailor Made course
These courses can also be tailored for an organization. This way, an organization will benefit by:
1. Using own datasets and tools during the training.
2. Being able to choose areas of interest they wish the trainer to put more emphasis on.
3. Taking the course in-house or at a venue of choice.

Mobile Data Collection Consultancies
Are you planning to collect data using mobile devices?

We will help you setup and implement a mobile based data collection platform.

We will digitize your questionnaires, set up a data hosting platform, calibrate your mobile devices and support you during and after data collection.

We have extensive knowledge and working experience in ODK, KoBo Toolbox, Open HDSS, CSPro for Mobile, Open MRS, Epi Info, Ena, Magpi, ona.io, Survey CTO amongst other tools.

Joint bids and sub-contracting
We are available for joint bids and sub-contracting for assignments such as market studies & surveys, baseline studies, mid-term evaluations, end-term evaluations and any other scientific studies.

We will bring in our expertise to set up a mobile data collection platform, oversee, administer and manage the data collection exercise.

Contact details

Email:
Tel: +254 706909947
Website: www.t4d.co.ke