Cert Prep: Certified Analytics Professional (CAP)

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Jungwoo Ryoo

2:33:56

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01 - Introduction

01 - The growing field of analytics.mp4

00:48

02 - What you should know.mp4

00:38

02 - 1. Certified Analytics Professional (CAP)

03 - Introduction.mp4

02:19

04 - CAP history.mp4

01:59

05 - CAP domains.mp4

02:51

06 - Related certifications.mp4

01:15

07 - Career paths.mp4

02:57

03 - 2. Business Problem Framing

08 - Identifying business problems.mp4

02:27

09 - Identifying and analyzing stakeholders.mp4

02:30

10 - Collecting requirements.mp4

02:05

11 - Determining the feasibility.mp4

02:17

12 - Refining the problem.mp4

03:07

04 - 3. Analytics Problem Framing

13 - Transforming business problems to analytics problems.mp4

02:19

14 - Reformulating problem statements.mp4

02:42

15 - Defining drivers and relationships to outputs.mp4

02:22

16 - Stating assumptions.mp4

02:46

17 - Defining success metrics.mp4

02:08

18 - Obtaining stakeholder agreement.mp4

03:06

05 - 4. Data

19 - Working effectively with data.mp4

02:29

20 - Identifying and prioritizing data needs.mp4

03:14

21 - Acquiring data.mp4

02:59

22 - Cleaning, transforming, and validating data.mp4

02:38

23 - Identifying relationships in data.mp4

02:36

24 - Documenting and reporting findings.mp4

02:15

25 - Redefining problem statements.mp4

01:38

06 - 5. Methodology (Approach) Selection

26 - Identifying available problem-solving methodologies.mp4

01:56

27 - Evaluating and selecting descriptive analysis.mp4

01:23

28 - Evaluating and selecting predictive analysis.mp4

02:07

29 - Evaluating and selecting prescriptive analysis.mp4

02:03

30 - Selecting software tools.mp4

02:07

31 - Using R to analyze data.mp4

03:52

32 - Using Tableau to visualize data.mp4

01:53

07 - 6. Case Study 1

33 - Bike rental analysis.mp4

01:55

34 - Framing a problem.mp4

02:06

35 - Using RStudio for predictive analysis.mp4

04:10

36 - Using Tableau to visualize statistics.mp4

02:21

37 - Using Tableau to making predictions.mp4

03:52

08 - 7. Model Building

38 - Understanding model building.mp4

01:36

39 - Identifying model structures.mp4

01:02

40 - Build and verify the models.mp4

01:33

41 - Running and evaluating models.mp4

02:37

42 - Calibrating models and data.mp4

02:13

43 - Integrating the models.mp4

02:37

44 - Documenting findings ROC.mp4

02:39

45 - Communicating findings.mp4

02:18

09 - 8. Deployment

46 - Understanding deployment.mp4

01:20

47 - Performing business validation of the model.mp4

01:38

48 - Developing a deployment plan and delivering it.mp4

02:53

49 - Creating model requirements.mp4

02:57

50 - Delivering, monitoring, and sustaining the production model or system.mp4

02:18

51 - Understanding deployment approaches.mp4

03:00

52 - Understanding DMAIC and CRISP-DM.mp4

02:30

53 - Project management approaches to deployment.mp4

02:58

10 - 9. Model Lifecycle Management

54 - Understanding model lifecycle management.mp4

03:02

55 - Tracking model quality.mp4

02:05

56 - Recalibrating the model through validation.mp4

02:13

57 - Maintaining the model.mp4

02:18

58 - Supporting training activities.mp4

02:10

59 - Evaluating the business benefit of the model over time.mp4

02:10

11 - 10. Case Study 2

60 - Business intelligence examples.mp4

03:13

61 - Selecting a methodology.mp4

03:29

62 - Building a model.mp4

02:39

63 - Deploying a model.mp4

02:08

64 - Managing the model lifecycle.mp4

02:50

12 - Conclusion

65 - Next steps and additional study resources.mp4

01:20

Description

Want to accelerate your career in data science and analytics? Consider earning the Certified Analytics Professional (CAP) credential. This premier data science certification shows potential employers that you can glean insights from data and use your findings to determine logical next steps. In this course, Jungwoo Ryoo provides test takers with an understanding of how a core set of data science topics are relevant and necessary to obtain a CAP credential in an expedited fashion. Jungwoo covers the seven domains of the exam: business problem framing, analytics problem framing, data, methodology, model building, deployment, and lifecycle management. He also shares case studies that demonstrate how the CAP knowledge domain concepts work in the real world.

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Data Analysis

Jungwoo Ryoo

Instructor's Courses

I aspire to be a servant leader with compassion. I have the honor and pleasure of serving as the Chancellor and Chief Academic Officer (CAO) at Penn State DuBois. I am blessed with my academic appointment as Professor of Information Sciences and Technology. My research interests include information assurance and security, software engineering, computer networking, and data science. In addition to my core academic research, I conduct research in innovative learning environments (ILEs) to promote justice, equity, diversity, and inclusion (JEDI) in Science, Technology, Engineering, and Math (STEM) higher education. Many of my research projects have been funded by state and federal government agencies. I received more than 1.5 million dollars in total external funding. I have substantial industry experience architecting and implementing secure, high-performance software solutions for large-scale network management systems. Specialties: Software Engineering, Cybersecurity, Information Assurance, Networking, and Data Science

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