Online Certificate in Health Statistics for Data Collector, Analysts and Clerks April-August 2018
Mode: Online (pdf notes, videos, mp3 audios, online chat, community work and assignments)
Deadline to Apply: 01 April 2018
Start Date: 02 April 2018
End Date: 31 August 2018
Duration: 5 months (2 hours a day)
Course Fee: USD 500 (payable in full or three installments only)
Certificate Offered: YES (Sent through air, not through internet)
Assessment: online continuous assessment tests, class work and final exam
About Humanitarian Elites
Humanitarian Elites is an organization well established in Kenya composed of professionals with diverse experience, practices, skills and knowledge spread across Africa mandated to improve access to quality education, knowledge and attitudes to foster development in middle and low level income countries.
Started in February 2005 in Kenya, the organization has trained thousands of professionals in Malindi, Lamu, Nairobi and Isibania in Kenya; Yambio, Maridi, Rumbke, Wau and Juba in South Sudan; Kampala, Jinja and Gulu in Uganda and Moshi, Arusha and Dodoma in Tanzania including various locations in Central Africa Republic and Democratic Republic of Congo.
About Health Statistics Course
This course introduces the students to the core principles of health statistics. It will help to equip the learner with statistical knowledge, skills and attitudes to enable him collect, compile, compute, analyze and interpret & disseminate health statistics required for planning and management of health services useful in evidence-based decision making and policy formulation
The course is crucial in the technological arena where computers have become a tool of the day. Most medical/health facilities and organizations have computerised their operations and management of health data and information is now at the mercy of (health) statisticians to gather, protect, analyze and interpret for public consumption and to aid in disease surveillance and effective management of health resources.
Targets for this Course
This course is suitable for professionals working in health facilities, data managers, data collectors, field officers, public health officers, project managers, grant managers, community leaders, NGO staff/employee, government civil servants, students in colleges or universities, proposal writers among others
Jobs Available for Grandaunts
After completion of this course, grandaunts can work as: data collectors, field officers, data managers, policy formulation committee members, data clerk, data assistants, survey assistants, research personnel, research assistants, research officer among others
Learning Outcomes
At the end of this course, the grandaunts will have gained skills, knowledge and experience in:
• Designing of research proposals and data collection instruments
• Conducting pilot testing, data collection and mining exercises
• Manipulation of the data e.g. analysis using SPSS and advanced Excel
• Developed competence in interpretation of health data/information and
• Knowledge management according to international standards
Topics/Modules:
Topic 1: Introduction to Health Statistics (definitions, uses, data collection methods, data collection tools, principles of questionnaire and interview guide development
Topic 2: Survey (sampling, types of sampling methods, sample size determination survey process, conducting pilot survey, data collection, data editing process, data coding, data classification
Topic 3: Data Presentation (types of data, data tabular presentation in simple, multi-column and contingency tables, principles of table construction, bar chart, component bar charts, percentage bar charts, principles of bar chart construction, pie charts
Topic 4: Array Presentation (frequency distribution curve, cumulative frequency tables, relative frequency curves, cumulative frequency curve (ogive), frequency polygon curve, histogram, break even charts, moving average, Z charts, Lorenz Curve
Topic 5: Health Facility Statistics (definitions, procedures, tools for collecting health administrative statistics, standard terms, occupied bed days, available bed days, vacant bed days, excess bed days, admissions, discharges and deaths, percentage occupancy, average length of stay, admission rate, maternal child health and family planning evaluation statistics
Topic 6: Introduction to SPSS (installation, definitions, SPSS views, formulating SPSS questionnaire, data entry, editing, sorting, filtering, grouping, copying and pasting, data importing, saving, printing,
Topic 7: Measures of Central Tendency (grouped and ungrouped data, arithmetic mean, median, geometric mean, electronic computations of these measures using SPSS and Microsoft Office Excel)
Topic 8: Measures of Dispersion (quartile deviations, deciles, percentiles, standard deviation, skewness, scatter diagrams, lines of regression, correlation, coefficient of correlation, coefficient of rank correlation, electronic computation of measures of dispersion
Topic 9: Surveillance and Disease Investigation (definitions, types of surveillance, outbreak investigation, notifiable diseases, public health policy formulation)
Topic 10: Introduction to Advanced Excel for Data analysis (Advanced excel to compute mean, mode, median, standard deviations, histograms, polygons, etc using Advanced Excel.
Topic 11: Practicum for 10 Hours (development of data collection tools, data collection, data analysis and interpretation, health facility visits, 4 hours attachment at health records department in a health facility and public health office)
How to Apply
Download the application form click the arrow or blue words Humanitarian Elites Online Application Form.doc (91.5 KB)
Save it with your full names and course e.g. John Mwamburi Gachuku Application Statistics
Fill the form and send it with your CV to: [email protected] with Subject of the email: Certificate in Statistics
DO NOT USE CONTACT FORM IN THE WEBSITE. USE OUR EMAIL FOR INQUIRY
For more info: www.humanitarianelites.webs.com. Our new special website is under construction
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