Applied Descriptive Statistics
Offered by
Benaadir Research, Consultancy & Evaluation Center (BRCE)
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LevelAll Levels
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Total Enrolled147
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Duration7 hours
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Last Updated21/11/2024
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CertificateCertificate of completion
22 Cashir
7 Saacadood
Course Certificate
Course Description
Applied Descriptive Statistics is a comprehensive course designed to equip you with the fundamental principles and techniques of descriptive statistics. This course covers key concepts such as population and sampling, frequency distribution, central tendency, dispersion, measures of position, and data collection methods. Through a combination of theoretical knowledge and practical application, you’ll learn to analyze and interpret data effectively, making informed decisions based on statistical insights.
Why should you take this course?
In today’s data-driven world, the ability to understand and interpret data is a crucial skill across various fields. This course provides a solid foundation in descriptive statistics, enabling you to summarize and describe data meaningfully. Whether you’re a student, professional, or researcher, mastering these statistical techniques will enhance your analytical capabilities and improve your decision-making processes.
Who is this course for:
- Students seeking to strengthen their understanding of statistics.
- Professionals looking to enhance their data analysis skills.
- Researchers needing to interpret and present data accurately.
- Anyone interested in gaining a foundational understanding of descriptive statistics.
What you’ll learn:
- The distinction between population and sample.
- Different types of variables and data.
- Various measurement levels.
- Techniques for sampling and data collection.
- How to construct and interpret frequency distributions and graphs.
- Measures of central tendency: mean, median, and mode.
- Measurement of dispersion, including standard deviation and variance.
- Measures of position: Z scores, percentiles, quartiles, and outliers.
- The concept of skewness in data.
- Developing and implementing effective data collection methods.
- Practical application of descriptive data analysis in various scenarios.
Are there any course requirements or prerequisites?
There are no specific prerequisites for this course. However, a basic understanding of high school-level mathematics would be beneficial.
What you earn after completion of this course:
Upon successful completion of the Applied Descriptive Statistics course, you will earn:
- A solid understanding of fundamental descriptive statistical concepts.
- Practical skills in data collection, analysis, and interpretation.
- The ability to present data findings clearly and effectively.
- Enhanced analytical and decision-making capabilities applicable in various professional fields.
- A certificate of completion, showcasing your proficiency in applied descriptive statistics.
Material Includes
- 7-hour on-demand video
- 1 Assignments
- 6 downloadable resources
Course Curriculum
Section 1: Course Introduction
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20:29
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09:21
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Variables and Data Types.
08:33 -
Measurement Levels.
11:21 -
Quiz one
Section 2: Population and Sample
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Population and Sample
14:51 -
Sampling Techniques Procedures.
12:36 -
Quiz Two
Section 3 : Frequency distribution
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Grouped frequency distribution
23:30 -
Ungrouped frequency distribution.
04:26 -
Charts/Graphics
12:40
Section 4; Measure of central tendency
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Mean
19:44 -
Medium
12:52 -
Mode
07:20 -
Quiz 4
Section 5 Dispersion
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Measurement of Dispersion
28:55 -
Quiz 5
Section 6 Measures of Position
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Standard Score or Z Score.
22:14 -
Percentiles
06:51 -
Quartiles
04:56 -
Outliers.
11:19 -
Measure of Skewness
13:18 -
Quiz 6
Section 7 collecting Data
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Developing Questionnaire
13:15 -
Data collection by Online
35:44
Section 8 Descriptive data Analyze
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Scenario one
01:20:00 -
Scenario two
34:00 -
Final Assessment
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About the instructors
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BRCE waa xarun ka shaqaysa horu marinta iyo barashada arimaha la xariira xirfadaha Casriga ah oo ku salaysan Technology-ga.