Comidoc Analysis
Applied Statistics Real World Problem Solving
Applied Statistics Real World Problem Solving
InstructorAkhil VydyulaDuration3h 2m
Students10.4K
Rating4.3 (19)
InstructorAkhil VydyulaInstructorAkhil VydyulaApplied Statistics Real World Problem Solving
InstructorAkhil VydyulaComidoc has tracked 22 coupons for this course since 2025, last checked 6d ago. On average, a new coupon appears roughly every 19 days.
| Coupon code | Discount | Added | Status | Lifetime |
|---|---|---|---|---|
| Coupon codeEPIC-LOVE | Discount100% off | Added | StatusExpired | Lifetime28d 8h |
| Coupon codeOCT-FREE4 | Discount100% off | Added | StatusExpired | Lifetime~24 daysRan full term |
| Coupon codeSEPT-FREE | Discount100% off | Added | StatusExpired | Lifetime12d 11h |
| Coupon codeDC-LOVE | Discount100% off | Added | StatusExpired | Lifetime~30 daysRan full term |
| Coupon codeGLOBAL-START | Discount100% off | Added | StatusExpired | Lifetime~30 daysRan full term |
| Coupon codeAUG-FREE | Discount100% off | Added | StatusExpired | Lifetime~30 daysRan full term |
Lifetime is the time from a coupon's first appearance to its expiration or invalidation.
Editorial course preview
These 2 complementary views highlight concrete, legible examples from the course presentation.
This document outlines the Data Analytics course curriculum, covering key statistical concepts like descriptive statistics, probability distributions, hypothesis testing, and data cleaning techniques.
This instructional slide introduces the classification of data in statistics, highlighting nominal, ordinal, discrete, and continuous types alongside a hierarchical diagram distinguishing categorical from numerical data.
The curriculum spans fundamental measures of central tendency and dispersion to more than complex inferential topics like ANOVA and the Central Limit Theorem.
Instruction includes techniques for data cleaning, preprocessing, and visual analysis using histograms, box plots, and heat maps.
Practical application is delivered via video lectures rather than interactive coding environments or hands-on software labs.
The curriculum aligns with the stated goals of business analysts and data scientists by covering essential statistical tools.
