03 - Flat file | ILEAD GLOBAL TRAINING CENTER

Autoplay
Autocomplete

Previous Lesson Complete and Continue

IGTC01DA - The Essential Elements of Predictive Analytics and Data Mining (EN)

01 - Introduction

02 - What you should know before watching this course (0:46)
01 - Welcome (1:54)

02 - 1. What Is Data Mining and Predictive Analytics

01 - Introduction (0:17)
02 - A definition of data mining (1:08)
03 - What-s data mining and predictive analytics (2:05)
04 - What are the essential elements (1:48)

03 - 2. Problem Definition

01 - Introduction (0:48)
02 - Determine the business objective (1:18)
03 - Identify an intervention strategy (0:58)
04 - Estimate the return on investment (2:04)
05 - Program management (1:47)

04 - 3. Data Requirements

01 - Introduction (1:09)
02 - Customer footprint (1:18)
03 - Flat file (1:10)
04 - Understand your target (1:42)
05 - Select the data for modeling (2:42)
06 - Understand integration (2:35)
07 - Understand data construction (3:47)

05 - 4. Resources You'll Need

02 - Understand data mining algorithms (2:46)
01 - Introduction (0:36)
03 - Assess team requirements (3:46)
04 - Budget time (1:40)
05 - Work with subject matter experts (2:19)

06 - 5. Problems You'll Face

02 - Deal with missing data (2:26)
01 - Introduction (0:46)
03 - Resolve organizational resistance (2:15)
04 - Why models degrade (3:28)

07 - 6. Finding the Solution

02 - Search the solution space (2:30)
01 - Introduction (1:05)
03 - Unexpected results (1:59)
04 - Trial and error (1:40)
05 - Construct proof (2:16)

08 - 7. Putting the Solution to Work

02 - Understand propensity (1:56)
01 - Introduction (0:48)
03 - Understand metamodeling (3:06)
04 - Understand reproducibility (1:56)
05 - Master documentation (2:07)
06 - Time to deploy (1:17)

09 - 8. CRISP-DM and the Nine Laws

01 - Introduction (0:49)
02 - Understanding CRISP-DM (1:48)
03 - Understand laws 1 and 2 (1:49)
04 - Understand law 3 (3:20)
05 - Understand laws 4 and 5 (3:09)
06 - Understand laws 6, 7, and 8 (4:34)
07 - Understand law 9 (1:29)

10 - Conclusion

01 - Next steps (1:13)

Teach online with

03 - Flat file

Lesson content locked

If you're already enrolled, you'll need to login.

Enroll in Course to Unlock