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About the Course:
Data Analysis course is intended for developmental participants interested in learning the most
effective data analysis methods to solve problems and achieve insight. This course will focus on
how to plan, carry out, and communicate analyses of real data sets. This course introduces
statistical techniques such as summarizing and presenting data, estimation, probabilities and
probability distributions, confidence intervals, correlation and regression models and hypothesis
testing. This course places special emphases on the understanding of key concepts and statistical
thinking, calculations and interpretation of results.
Course Format:
The course will consist of interactive onsite lectures. The lectures will begin with theory
introduction and its real world application followed by practical session on STATA. Participants
are encouraged to share their data sets for use during the practice sessions however; the
facilitator will share course data set and lecture slides in advance.
Learning Outcomes:
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Present different types of data in an appropriate manner.
Perform statistical analysis.
Present findings of data analysis in a research proposal.
Identify areas/issues/situations where statistical analysis would be beneficial.
Collect, analyze and interpret data relevant to their decision-making.
Identify and interpret trends.
Use STATA to calculate statistical measures and interpret STATA outputs.
Understand how to apply relevant statistical techniques to solve the underlying
problems/issues.
Report on statistical findings
COURSE MODULES:
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Research/Evaluation Design Data Collection Methods, and Introduction to STATA
Introduction to Data Analysis, Types of Data, Data Measurements, Descriptive
Statistics, Proportions, Rates, Ratio’s, Percentages, Central Location, Dispersion, Shape
of Distribution, Display of data frequency tables, charts and graphs
Introduction to probability Hypothesis Testing 1: Significance Testing (P-value) and
Point Estimates (CI) Sampling and Sampling errors Probability Distribution
(Binomial/Poisson) Cross-tabulation and Correlation
Hypothesis Testing 2: Simple Regression Hypothesis testing for Multiple regression
model Survival analysis
Training Format:
All materials are made available through In-Class-Learning Approaches. Approximately 6 hours
time commitment of your time per day. Daily feedback from committed instructors. Participants
are expected to submit daily assignments to earn certificate of completion
Exercises:
After they have read the material for each unit, participants are expected to test their own
Learning by completing some relevant exercises and tasks .
Assignments:
In order to demonstrate their understanding of the course content, Participants will be required to
submit Four assignments.
DURATION AND COURSE LOAD:
5 Days - 8 hours per day.
PARTICIPANTS:
Researchers, M&E Professionals, Data Analysis and would be researchers and data analysts.
COURSE FEE:
$500 per participants
GENERAL COURSE CONTACT:
Please contact Ms. Farzana Ahamadi, Training Coordinator, at fahmadi@samsorafghanistan.org
for further information and course registration.