GET 305 Engineering Statistics and Data Analytics
Description
Welcome to GET 305: Engineering Statistics and Data Analytics!
In this lecture, Prof. Michael C. Ndinechi breaks down Descriptive Statistics—from real-world meaning to engineering-focused applications in data analytics, summarization, interpretation, and visual trend discovery.
You will learn:
- Measures of Central Tendency (Mean, Median, Mode),
- Measures of Dispersion (Variance, Standard Deviation, Range, IQR),
- Data visualization insights (Histograms, Boxplots, Frequency Distributions, etc.),
- Practical applications in engineering analytics and decision-making,
- Key foundations for advanced data systems and AI-driven interpretation.
This video is ideal for engineering students, data analysts, telecom engineers, researchers, and STEM learners seeking clear logic and real-world relevance in statistics and analytics.
Curriculum
- 2 Sections
- 2 Lessons
- 57 Minutes
Expand all sectionsCollapse all sections
- Descriptive Statistics1
- Frequency Distribution, Mean, Mode and Variance1
Instructor
630 Students16 Courses
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