My Communities

Hi All,
My name is Tafadzwa from Zimbabwe, Africa. Looking forward to the learning journey and consolidate my monitoring and evaluation skill set.

Monitoring: Collecting project information regularly to measure the progress of your project or activity. This helps to track performance over time and to make informed decisions about the effectiveness of projects and the efficient use of resources.

Evaluation: Evaluation measures how well the project activities have achieved the project’s objectives and how much changes in outcomes can be directly linked to a project’s interventions.

Monitoring: Collecting project information regularly to measure the progress of your project or activity. This helps to track performance over time and to make informed decisions about the effectiveness of projects and the efficient use of resources.

Evaluation: Evaluation measures how well the project activities have achieved the project’s objectives and how much changes in outcomes can be directly linked to a project’s interventions.

My name is Abukari Abdul Rashid. I am a nutritionist with an interest in monitoring and Evaluation for quality nutrition impact.
I expect to learn more about M&E in this platform

heello everyone am stella from Malawi, Africa and am excited to don this course with all of you and share perspectives on various issues.

I am Nteboheng Thaele all the from Lesotho, a transformational leader, a Customer Experience Specialist, with Experience in communication and media. Proven ability for building strong relationships with media, customers, employees and community groups within the organisation. Skilled in Negotiation skills and leadership. Strong project management background and business administration. Dedicated to achieving results while exceeding corporate expectations. Excellent problem solver who rapidly adapts to change and exceeds expectations. Inclination towards customer-centric approaches and strategies. Proficiency in various CRM systems available in the market. I have a strong process improvement mindset with an emphasis on continuous improvement.
Exceptional communication, leadership, and organisational skills. I have passion for benchmarking customer experience. I have passion for Strategic Performance Management (SPM) and strategic foresight and scenario planning.

My name is Abukari Abdul Rashid. I am a nutritionist with an interest in monitoring and Evaluation for quality nutrition impact.
I expect to learn more about M&E in this platform

Talking about data collection involves conveying information about the process of gathering and recording data. Whether you're discussing it in a professional setting, academic context, or casual conversation, it's important to be clear, precise, and considerate of your audience.

Hello Dear Friends,

I hope you are doing well, my name is Sayed Hakimullah Sediqi, I'm M&E officer with NGO in Afghanistan.
I Use KOBO toolbox for data collection process and analyze the data in MS Excel and MS Power BI Desktop version.

Thanks

With best Regards

Sayed Hakimullah Sediqi

My name is Amadou Hassane Bonkoukou, I am currently a Monitoring, Evaluation, Accountability and Learning Specialist

Hello everyone,
As a social entrepreneur and community leader from Cameroon, my name is Shey Vitalis. The Better Future for All Association (BEFA) was established in 2018 to identify long-term fixes for my nation. We actively empower IDPs via agriculture in a little Awae community close to Yaounde. He is passionate about using data to inform decisions and improve the world for everyone, so I support the Sustainable Development Goals.
As this training programme progresses, Vitalis is excited to network, share, and pick up knowledge from my fellow students.
Good luck guys

Thank you

Thank you

My name is mohamed i am from Somalia I am agriculture background but I passionate to learn this important course and other thanks

Data collection is very complex

Bonjour je suis Marie-Thérèse NGOBO , j'ai entamé récemment le cours sur la collecte et analyse des données et présentement je suis sur le module 2 à savoir la collecte de données alors ma question est de savoir s'il y a pas d'autres méthodes de collectes de données récentes ou anciennes à l'exception de celles citées dans le module? aussi en ce qui concerne la partie comprendre les participants par exemple la question de la proportion de personnes de cette population ayant accès à des technologies devrons nous procédé à un sondage avant ? ou faire un examen de document au cas ou une étude liée à la technologie a déjà été menée une fois auprès de cette population cible? ou comment avoir des réponses à ce type de question face à une situation qui nous est étrangère?

Bonjour !
Je suis M.SIDIBE depuis le Mali.
Je voudrais savoir bien collecter et utiliser les données.
Ce qui m'a motivé à m'inscrire à cet important cours.
Je n'est pratiquement pas d'expérience dans le suivi évaluation
mais je souhaiterai à la suite de ces différents cours faire carrière
dans le domaine.
Portez-vous bien.

I am Sheyi Daniel John, i am glad to be here, i have really want to take a career path in the M&E, it's really important that i learn about this course for career and personal use.

Hello, I am Hayford from Ghana.

Hi, I am Lutfullah Hanafi and really interested in M&E department , I want to learn about all things is involved in M&E department, If you have any information please share with me also.
thanks for every one.

Hi, I am Lutfullah Hanafi and really intrested in M&E department , I want to learn about all things is involved in M&E departmrnt, If you have any information pleaase share with me also.
thanks for every one.

Hi, I am Lutfullah Hanafi and really intrested in M&E department , I want to learn about all things is involved in M&E departmrnt, If you have any information pleaase share with me also.
thanks for every one.

Hi, I am Lutfullah Hanafi and really intrested in M&E department , I want to learn about all things is involved in M&E departmrnt, If you have any information pleaase share with me also.
thanks for every one.

Hi am prosper mkwama, from Malawi. Am new to this course I would like you to welcome me, in this journey. I have no prior experience in this hence I might need your help to accomplish the course.

Hello Everyone. My name is Sainker Louis. I am from Haiti. I am happy to be beneficiary of this course " From Data collection to Data Use". As new I hope we will have some usefull disscussion about it.

Greetings for the day!
This is Noorullah Sayed and I am working for the World Food Program (WFP) as a TPM-Field Monitor. I have been working for more than four years at different organizations, such as M&E. I Have familiarity with data collection, data analysis, and data management. Now, I want to increase my comprehension of the data through this course.

Hi, everyone. I am Askar and I am from Somaliland, a breakaway republic from Somalia. My dream job is becoming an M & E specialist and that is why I am taking this course.

Hi, I am Lutfullah Hanafi and really intrested in M&E department , I want to learn about all things is involved in M&E departmrnt, If you have any information pleaase share with me also.
thanks for every one.

I am Ogwal Isaac from Kampala Uganda Africa, I am a demographer, excited to take this course.

Je pense qu'il ne faut pas

Hello. My name is cal Juvenal BALLEY. Jai décidé de suivre ce cours pour ne pas oublier mes notions de base.

My name is Sandrine Tuyisenge, I am employed with a non-profit organization dedicated to training highly educated young Africans to empower local communities in identifying and addressing their own challenges _ CorpsAfrica/Rwanda. As the Monitoring and Evaluation (M&E) Associate, I am deeply passionate about serving others, catalyzing impactful initiatives within the community, and utilizing data to effectively communicate the progress and transformative changes being made.

Hi, I am Aminah Umar. I have just completed the course on "planning for monitoring and evaluation" and I am taking this one to increase my knowledge base.

Hi, I am Aminah Umar. I have just completed the course on "planning for monitoring and evaluation" and I am taking this one to increase my knowledge base.

Ethics is essential in the development of monitoring and evaluation tools, particularly when our beneficiaries are children. how can we obtain consent for minors?

Hello my name is Ngeleka Patient. I worked for the association for planing family, I am a MEAL.
It will be very good to discuss with you about data collection
Ethics is essential in the development of monitoring and evaluation tools, particularly when our beneficiaries are children. how can we obtain consent for minors?

I am Nelson an Economist at Tanzania Posts Corporation, currently am living in Dar es Salaam, Tanzania. I am very grateful to join the team that wish to change the world.

Hello everyone,
I am Mamraz khan from Pakistan. I am new here and enrolled in this course. Hope this will be a good place and experience learning about data collection and utilization.

Acknowledging and understanding the needs of the stakeholders and demographics of the participants is the key to designing impactful data collection plans. The platform's stakeholder mapping facilitates user identification and the discovery of their data needs. It helps the management to align the project's aims with the goal. The number of participants of different backgrounds is one of the elements being taken into account when developing the tool. This includes language proficiency, reading and writing skills, and cultural norms. Risking the challenges, for example, low literacy as a candidate of doubtful input data, forcing the need to rely on multiple and creative approaches. Prolonged observation and adjustments during data gathering process are able to tackle the unanticipated issues therefore, data accuracy and relevance are the expected outcomes. Incorporating stakeholder perspectives and understanding participant behavior into data collection approaches helps in subsequently collect relevant data for evidence-based decisions to be made and stakeholders’ expectations are met as well.

Hello, my name is Hassan and i am interested in learning more about data collection

chamo me Valdemiro Damucene,so participante do curso de colecao e uso de dados para monitoria e avaliacao do prjecto

A coleta e o uso de dados são práticas fundamentais em diversas áreas, desde a pesquisa científica até o desenvolvimento de produtos e serviços digitais. Aqui estão algumas considerações importantes sobre esse tema:

Ética e Privacidade: A coleta de dados deve ser realizada de maneira ética, respeitando a privacidade dos usuários. Isso significa obter o consentimento adequado, garantir a segurança dos dados coletados e usar as informações apenas para os fins específicos para os quais foram fornecidas.

Legislação e Regulamentação: Em muitos países, existem leis e regulamentações que regem a coleta e o uso de dados, como o Regulamento Geral de Proteção de Dados (GDPR) na União Europeia e a Lei Geral de Proteção de Dados (LGPD) no Brasil. É importante estar ciente dessas leis e garantir conformidade com elas.

Finalidade da Coleta de Dados: É essencial ter uma clara compreensão dos objetivos para os quais os dados estão sendo coletados. Isso pode incluir análise estatística, personalização de serviços, otimização de processos, entre outros.

Qualidade dos Dados: Os dados coletados devem ser precisos, relevantes e atualizados. A qualidade dos dados influencia diretamente a qualidade das análises e decisões baseadas neles.

Segurança dos Dados: É crucial proteger os dados coletados contra acessos não autorizados, manipulação ou perda. Isso envolve a implementação de medidas de segurança adequadas, como criptografia, controle de acesso e backup regular dos dados.

Transparência: As organizações que coletam dados devem ser transparentes sobre suas práticas de coleta e uso. Isso inclui informar os usuários sobre quais dados estão sendo coletados, como serão usados e com quem serão compartilhados, se aplicável.

Anonimização e Pseudonimização: Quando possível, os dados devem ser anonimizados ou pseudonimizados para proteger a privacidade dos usuários. Isso envolve remover ou substituir informações que possam identificar indivíduos.

Responsabilidade: As organizações são responsáveis pelos dados que coletam e usam. Isso inclui garantir que os dados sejam usados de maneira ética e legal, bem como responder por quaisquer violações de privacidade que possam ocorrer

So valdemiro Damucene, Oficial técnico de programa de nutrição, na organização Nweti,Em resumo, eu uso os dados fornecidos pelos usuários para gerar respostas relevantes e informativas para suas perguntas, garantindo ao mesmo tempo a privacidade e a segurança dos dados pessoais.

So valdemiro Damucene, Oficial técnico de programa de nutricao, na organizacao Nweti,Em resumo, eu uso os dados fornecidos pelos usuários para gerar respostas relevantes e informativas para suas perguntas, garantindo ao mesmo tempo a privacidade e a segurança dos dados pessoais.

Je m'appelle BISIMWA LUSAMBO FELIX, Je suis nouveau dans ce cours et j'aimerais que vous me partagiez votre expérience

Hi everyone, my name is Wanyan, D. Karufus I'm a Liberian, I currently work as school administrator in a senior high school.
My contact numbers are: +231 777630118/886432306
Email: wkarufus@gmail.com.
I'm excited to be here and look forward to a wonderful experience.

....................

....................

When it comes to the realm of data, it is essential to understand the journey from data collection to data use. Let me provide you with a brief overview:

Data Collection: This initial stage involves gathering data from various sources. The sources can include surveys, questionnaires, sensors, social media platforms, transaction records, and many other channels. Data collection methods can be both manual and automated, depending on the nature and scale of the project.

Data Cleaning and Preprocessing: Once the data is collected, it often requires cleaning and preprocessing. This step involves removing any irrelevant or duplicate data, handling missing values, correcting errors, and transforming the data into a suitable format for analysis.

Data Storage: After cleaning and preprocessing, the data needs to be stored in a structured manner. It can be stored in databases, data warehouses, or other types of storage systems, depending on the volume and requirements of the data.

Data Analysis: Once the data is stored, it can be subjected to various analysis techniques. This stage involves exploring the data, identifying patterns, conducting statistical analyses, and extracting meaningful insights. Data analysis can be performed using various tools and algorithms, including machine learning and data mining techniques.

Data Visualization: To effectively communicate the insights derived from the data analysis, data visualization techniques are used. Visual representations such as charts, graphs, and dashboards help in conveying complex information in a more understandable and visually appealing manner.

Data Interpretation and Decision Making: After analyzing and visualizing the data, the insights gained can be interpreted and used to make informed decisions. These decisions could be related to business strategies, process improvements, resource allocation, or any other relevant area based on the goals of the data project.

Data Privacy and Security: Throughout the entire data journey, ensuring data privacy and security is crucial. Measures such as anonymization, encryption, access controls, and compliance with data protection regulations are implemented to protect sensitive information and maintain the trust of data subjects.

Continuous Improvement: Data collection and data use are iterative processes. Feedback from the data analysis and decision-making stages can be used to refine the data collection methods, improve data quality, and enhance future analyses.

Remember, the process of data collection and use can vary depending on the specific context and purpose. It is essential to follow ethical guidelines, legal requirements, and best practices when working with data to ensure responsible and beneficial use.

I'm here to help if you have any specific questions or need further assistance on any aspect of data collection or data use.

may name is gamal frahn i am familiar with data since 2022.

When it comes to the realm of data, it is essential to understand the journey from data collection to data use. Let me provide you with a brief overview:

Data Collection: This initial stage involves gathering data from various sources. The sources can include surveys, questionnaires, sensors, social media platforms, transaction records, and many other channels. Data collection methods can be both manual and automated, depending on the nature and scale of the project.

Data Cleaning and Preprocessing: Once the data is collected, it often requires cleaning and preprocessing. This step involves removing any irrelevant or duplicate data, handling missing values, correcting errors, and transforming the data into a suitable format for analysis.

Data Storage: After cleaning and preprocessing, the data needs to be stored in a structured manner. It can be stored in databases, data warehouses, or other types of storage systems, depending on the volume and requirements of the data.

Data Analysis: Once the data is stored, it can be subjected to various analysis techniques. This stage involves exploring the data, identifying patterns, conducting statistical analyses, and extracting meaningful insights. Data analysis can be performed using various tools and algorithms, including machine learning and data mining techniques.

Data Visualization: To effectively communicate the insights derived from the data analysis, data visualization techniques are used. Visual representations such as charts, graphs, and dashboards help in conveying complex information in a more understandable and visually appealing manner.

Data Interpretation and Decision Making: After analyzing and visualizing the data, the insights gained can be interpreted and used to make informed decisions. These decisions could be related to business strategies, process improvements, resource allocation, or any other relevant area based on the goals of the data project.

Data Privacy and Security: Throughout the entire data journey, ensuring data privacy and security is crucial. Measures such as anonymization, encryption, access controls, and compliance with data protection regulations are implemented to protect sensitive information and maintain the trust of data subjects.

Continuous Improvement: Data collection and data use are iterative processes. Feedback from the data analysis and decision-making stages can be used to refine the data collection methods, improve data quality, and enhance future analyses.

Remember, the process of data collection and use can vary depending on the specific context and purpose. It is essential to follow ethical guidelines, legal requirements, and best practices when working with data to ensure responsible and beneficial use.

I'm here to help if you have any specific questions or need further assistance on any aspect of data collection or data use.

When it comes to the realm of data, it is essential to understand the journey from data collection to data use. Let me provide you with a brief overview:

Data Collection: This initial stage involves gathering data from various sources. The sources can include surveys, questionnaires, sensors, social media platforms, transaction records, and many other channels. Data collection methods can be both manual and automated, depending on the nature and scale of the project.

Data Cleaning and Preprocessing: Once the data is collected, it often requires cleaning and preprocessing. This step involves removing any irrelevant or duplicate data, handling missing values, correcting errors, and transforming the data into a suitable format for analysis.

Data Storage: After cleaning and preprocessing, the data needs to be stored in a structured manner. It can be stored in databases, data warehouses, or other types of storage systems, depending on the volume and requirements of the data.

Data Analysis: Once the data is stored, it can be subjected to various analysis techniques. This stage involves exploring the data, identifying patterns, conducting statistical analyses, and extracting meaningful insights. Data analysis can be performed using various tools and algorithms, including machine learning and data mining techniques.

Data Visualization: To effectively communicate the insights derived from the data analysis, data visualization techniques are used. Visual representations such as charts, graphs, and dashboards help in conveying complex information in a more understandable and visually appealing manner.

Data Interpretation and Decision Making: After analyzing and visualizing the data, the insights gained can be interpreted and used to make informed decisions. These decisions could be related to business strategies, process improvements, resource allocation, or any other relevant area based on the goals of the data project.

Data Privacy and Security: Throughout the entire data journey, ensuring data privacy and security is crucial. Measures such as anonymization, encryption, access controls, and compliance with data protection regulations are implemented to protect sensitive information and maintain the trust of data subjects.

Continuous Improvement: Data collection and data use are iterative processes. Feedback from the data analysis and decision-making stages can be used to refine the data collection methods, improve data quality, and enhance future analyses.

Remember, the process of data collection and use can vary depending on the specific context and purpose. It is essential to follow ethical guidelines, legal requirements, and best practices when working with data to ensure responsible and beneficial use.

I'm here to help if you have any specific questions or need further assistance on any aspect of data collection or data use.

i am gamal and i am so interest in data .

When it comes to the realm of data, it is essential to understand the journey from data collection to data use. Let me provide you with a brief overview:

Data Collection: This initial stage involves gathering data from various sources. The sources can include surveys, questionnaires, sensors, social media platforms, transaction records, and many other channels. Data collection methods can be both manual and automated, depending on the nature and scale of the project.

Data Cleaning and Preprocessing: Once the data is collected, it often requires cleaning and preprocessing. This step involves removing any irrelevant or duplicate data, handling missing values, correcting errors, and transforming the data into a suitable format for analysis.

Data Storage: After cleaning and preprocessing, the data needs to be stored in a structured manner. It can be stored in databases, data warehouses, or other types of storage systems, depending on the volume and requirements of the data.

Data Analysis: Once the data is stored, it can be subjected to various analysis techniques. This stage involves exploring the data, identifying patterns, conducting statistical analyses, and extracting meaningful insights. Data analysis can be performed using various tools and algorithms, including machine learning and data mining techniques.

Data Visualization: To effectively communicate the insights derived from the data analysis, data visualization techniques are used. Visual representations such as charts, graphs, and dashboards help in conveying complex information in a more understandable and visually appealing manner.

Data Interpretation and Decision Making: After analyzing and visualizing the data, the insights gained can be interpreted and used to make informed decisions. These decisions could be related to business strategies, process improvements, resource allocation, or any other relevant area based on the goals of the data project.

Data Privacy and Security: Throughout the entire data journey, ensuring data privacy and security is crucial. Measures such as anonymization, encryption, access controls, and compliance with data protection regulations are implemented to protect sensitive information and maintain the trust of data subjects.

Continuous Improvement: Data collection and data use are iterative processes. Feedback from the data analysis and decision-making stages can be used to refine the data collection methods, improve data quality, and enhance future analyses.

Remember, the process of data collection and use can vary depending on the specific context and purpose. It is essential to follow ethical guidelines, legal requirements, and best practices when working with data to ensure responsible and beneficial use.

I'm here to help if you have any specific questions or need further assistance on any aspect of data collection or data use.

My name is Abdoul MBALLO from Senegal.
I am very interested in data collection and processing.
I work in an NGO called ACRA where I do project monitoring and evaluation

I am Yusuf Gani Ali. I work with Girls Education Mission international, a nonprofit NGO based in Jos, Nigeria.

I'm Moses Chimiir Bak all away from South Sudan, the youngest nation with the giant, black and the tallest people in Africa.
I'm 27 years old.

As per my qualifications, I'm a undergraduate from Upper Nile university, Juba south Sudan. Currently, I'm in third year, semester six pursuing my bachelor of honors.

Thanks for welcoming me to join PHILANTHROPY university community

Hello to everyone, My name is Katumbi Wambua from Kenya, Africa. I feel privileged to have joined this team to explore more on m & E which is a crucial section of project management that determines the satisfaction of project's stakeholder needs. I hold a Bachelors Degree in Commerce from the university of Nairobi and I'm currently pursuing Bachelor of Science Nursing in AMREF International University, 4th year student. Having to carry out health project in our communities and also pursuing Health project management as mandatory unit in the programme I would like to further my knowledge in Project management especially M&E. Looking forward for a fruitful learning experience.
Regards
Katumbi

Julius Aondowase Sunday is a seasoned international development professional with extensive experience in monitoring and evaluation, project management, IT support, consultancy services, and capacity building. Julius combines academic excellence with practical skills to drive impactful outcomes. His recent role as a Junior Advisor in Monitoring and Evaluation & IT at GOPA AFC GmbH's Green Innovation Centre for Agriculture and Food Sector Nigeria showcased his expertise in enhancing monitoring systems, managing project datasets, and providing technical support. Through freelance consultancy work, Julius implemented technology solutions to improve project efficiency and conducted field monitoring to ensure project objectives were met. Proficient in various software tools and possessing an analytic mindset, Julius is poised to make a meaningful impact in any development initiative, bringing dedication, innovation, and expertise to empower communities and drive positive change.

Hello everyone. My name is Faith Nnadi. I am an M&E intern

Hello everyone. My name is Faith Nnadi. I am an M&E intern

My names are Grace Wairimu,I am a program officer at Foundation for Dialogue in Kenya.