Residual analysis is the process of analyzing a website's traffic and measuring the effectiveness of an ad campaign. It allows marketers to measure the impact of their ads on sales and conversions.
Residual analysis is a technique used in data science where the researcher looks for patterns that are hidden in the data. It is used to find out if there are any residuals of variables that have been removed from a model.
Learner's Ratings
4.4
Overall Rating
73%
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Reviews
P
PUSHPAK DILLIP MALI
4
The content and teaching style is excellent.
But there is slight issue is that video quality is kind of poor the dashboard is blur on 720mp on PC.
S
Sayali Jadhav
4
Very useful all data
S
Syed Mohammad Qaiser Rizvi
5
Way of teaching is very good. I want to get PPT which he is using to teach us ?
A
Anuja Bagadi
5
It is a very interactive and useful course..
K
Kashinath Myakale
5
All courses is very useful for which are looking free courses and gaining knowledge
A
ANKiT KUMAR BAMNiYA
4
SC
D
DOGALA UDAYKUMAR
5
OK
A
Anuj Jehta
5
nice
N
Nishant Saxena
5
great content
A
Aditya Purohit
5
Very good course & amazing cocepts & detailed explaination of each and every thing .
Thanku soo much Learn Vern ...
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