Shows hands-on exposure to image and video processing.Demonstrates initiative in AI and computer vision learning.Adds credibility for ...
Basic algebra and matrix operations are helpful.Some concepts use linear algebra and signal processing basics.Visual demonstrations ...
Techniques apply to medical imaging, robotics, and AR.Can enhance personal projects like photo editing or video filters.Useful in research ...
The course focuses on classical image processing, not deep learning.Covers enhancement, filtering, segmentation, and transformations.CNNs ...
Basic familiarity with Python helps but isn’t mandatory.The course uses beginner-friendly Python examples.Most coding is step-by-step with ...
You’ll explore regression in sales, pricing, and marketing contexts.Forecasting future trends is covered using regression models.Emphasis ...
Each module takes around 3–5 hours.Includes video lessons, hands-on Excel practice, and quizzes.With steady pace, course can be done in 4–5 ...
Regression is a common topic in analyst interviews.You’ll learn to explain R², coefficients, and model fit clearly.Knowledge of assumptions ...
The course is Excel-based, no coding needed.You’ll build regression models with formulas and tools.Hands-on practice is focused on ...
A basic understanding of averages, percentages, and simple probability is enough.Advanced math or calculus isn’t required.The course ...
