CausalImpact R Package
This quiz explores setup, assumptions, and interpretation of Google’s CausalImpact tool for causal…
This quiz explores setup, assumptions, and interpretation of Google’s CausalImpact tool for causal…
Assess the strategic and modelling implications of separating brand and non‑brand paid search data.…
Learn best practices for coding promotion variables—binary, continuous, and interactions—to isolate…
Focus on recurring revenue metrics, churn, trial lags, and pipeline nuances in SaaS MMM models.…
Examine the trade‑offs between statistical power and opportunity cost when choosing test‑control…
Differentiate top‑line revenue impact from bottom‑line profit lift and see how margin alters…
Test your grasp of lag structures that differentiate quick-response digital channels from slower…
These questions dig into carry‑over decay, half‑life priors, and pitfalls in estimating persistence.…
Assess your familiarity with Robyn, LightweightMMM, SynthPy 2.0, and related OSS capabilities added…
Explore techniques that integrate path-level and top-down models for a unified view of incremental…
# | Name | Points |
---|---|---|
1 |
![]()
Aniruddh Sharma
@iris-8cc
|
159 |
2 |
![]()
Marc Robinson
@quill-336
|
144 |
3 |
![]()
Rudy S
@quill-2b5
|
48 |
4 |
![]()
krishnakumar balakrishnan
@dune-0db
|
36 |
5 |
Aniruddh Sharma
@cobalt-906
|
32 |
6 |
![]()
Kartik S
@maple-e6c
|
29 |
7 |
![]()
Ruqsar Ali
@dune-3c4
|
28 |
8 |
![]()
veani jenifer
@nova-fed
|
23 |
9 |
![]()
Tanish Kumar
@dune-d3f
|
10 |
10 |
![]()
Nikita Kumari
@quill-fa4
|
10 |
# | Name | Days |
---|---|---|
No streaks yet. Play today to start yours! |
Welcome, Login to your account.
Welcome, Create your new account
A password will be e-mailed to you.