Statistical Computing Master Class in STATA
Offered by
Benaadir Research, Consultancy & Evaluation Center (BRCE)
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LevelAll Levels
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Total Enrolled107
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Duration6 hours 30 minutes
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Last Updated06/12/2024
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CertificateCertificate of completion
Course description
The “Statistical Computing Master Class in Stata” is an advanced course designed to provide comprehensive training in statistical analysis using Stata. This course covers the full spectrum of statistical computing, from basic data handling and descriptive analysis to complex inferential and non-parametric statistics. Through practical, hands-on experience, you will learn how to leverage Stata’s powerful features to analyze and interpret data effectively.
Why should you take this course?
Stata is a versatile and powerful statistical software widely used in research, academia, and various industries for data analysis. By taking this course, you will:
- Gain expertise in using Stata for statistical analysis.
- Enhance your data analysis skills with a focus on real-world applications.
- Improve your ability to conduct rigorous and reliable statistical analyses.
- Boost your career prospects by acquiring a sought-after skill in data-intensive fields.
Who is this course for?
- Students and researchers in social sciences, economics, healthcare, and related fields.
- Data analysts and statisticians looking to deepen their knowledge of Stata.
- Professionals who need to analyze data as part of their job responsibilities.
- Anyone interested in learning how to use Stata for comprehensive statistical analysis.
Material Includes
- 8 downloadable Excel Datasets
- 3 Downloadable Templets
- 2 Course Notes
Course Curriculum
Section 1. Course overview.
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STATA Installation
05:25 -
STATA Environment
15:11
Section 2. STATA Data basics
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Stata manual datasets
07:45 -
Importing Data into STATA
09:29 -
Stata Data Editor
13:29 -
Stata Do-file
13:19 -
Normality test
14:09
Section 3. Descriptive Data analyze.
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Descriptive Data analyze
21:59 -
Frequency Distribution
07:08 -
Cross tabulation
11:12 -
Charts
13:43 -
Compare Means
11:22
Section 4. parametric statistics
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Fundamentals of hypothesis testing
47:42 -
Z Test of Hypothesis for the Mean (σ Known)
32:25 -
t Test of Hypothesis for the Mean (σ Unknown)
15:33 -
Hypothesis Tests for 1 Proportions
09:33 -
Comparing Two Population Means
26:13 -
Related Populations the Paired Test
07:08 -
Differences Between 2 Proportions
07:36 -
Testing the Difference Between Two Variances
11:28 -
One-way analysis of Variance (ANOVA)
18:00 -
Two-way analysis of Variance (ANOVA)
14:28 -
Chi Square
07:34 -
Correlation
12:06 -
Regression
05:36
Section 5. non-parametric statistics
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Parametric vs non parametric statistics
10:37 -
Wilcoxon signed rank test
09:45 -
Mann-whitney u test and Wilcoxon rank-sum test
04:14 -
The Kruskal-Wallis Test
05:03 -
The Spearman Rank Correlation Coefficient
06:05
Final Assessment
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Assignments
Student Ratings & Reviews
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About the instructors
Offered by
BRCE waa xarun ka shaqaysa horu marinta iyo barashada arimaha la xariira xirfadaha Casriga ah oo ku salaysan Technology-ga.