Module 2 Flashcards

1
Q

How many categorized skills are there within Analytics Competencies.

A

Four

How well did you know this?
1
Not at all
2
3
4
5
Perfectly
2
Q

What are the Categorized Skills under Analytics Competencies.

A

(BoTW)
Business and Organization Skills
Technical Skills
Workplace Skills

How well did you know this?
1
Not at all
2
3
4
5
Perfectly
3
Q

What are the four distinct competencies under Business and Organization Skills.

A

(KAMGOaVaP)
Domain Knowledge and Application
Data Management and Governance
Operational Analytics
Data Visualization and Presentation

How well did you know this?
1
Not at all
2
3
4
5
Perfectly
4
Q

What are the five distinct competencies under Technical Skills.

A

(REPSTAMAC)
Research Methods
Data Engineering Principles
Statistical Techniques
Data Analytics, Methods, and Algorithms
Computing

How well did you know this?
1
Not at all
2
3
4
5
Perfectly
5
Q

What is the one competency under Workplace Skills.

A

21st Century Skills

How well did you know this?
1
Not at all
2
3
4
5
Perfectly
6
Q

In this level of proficiency, people are expected to perform tasks with guidance.

A

Entry Level

How well did you know this?
1
Not at all
2
3
4
5
Perfectly
7
Q

What are the three levels of proficiency regarding competencies.

A

Entry Level
Immediate Level (Intermediate Level)
Expert Level

How well did you know this?
1
Not at all
2
3
4
5
Perfectly
8
Q

In this level of proficiency, people are expected to formulate task to achieve Organizational Goals and work independently.

A

Immediate Level (Intermediate Level)

How well did you know this?
1
Not at all
2
3
4
5
Perfectly
9
Q

In this level of proficiency, people are expected to identify new approaches to achieve Organizational Goals. Provide solutions to a problem.

A

Expert Level

How well did you know this?
1
Not at all
2
3
4
5
Perfectly
10
Q

What are the skills that one must have in the domain of Knowledge Application and Domain Expertise?

A
  • Domain-Related Knowledge
  • Insights to effectively contextualize data
How well did you know this?
1
Not at all
2
3
4
5
Perfectly
11
Q

What are the different levels of expertise for Domain Knowledge and Application?

A

(CCF)
- Comprehend the collected data
- Craft a comprehensive content strategy
- Formulate compelling business cases

How well did you know this?
1
Not at all
2
3
4
5
Perfectly
12
Q

The Domain Knowledge and Application Skills define a _____________, as it encompasses industry knowledge, business experience, and domain expertise.

A

Functional Analyst

How well did you know this?
1
Not at all
2
3
4
5
Perfectly
13
Q

What are the skills that one must have in the domain of Data Management and Governance?

A

(DEIU)
- Develop and Implement Data Management Strategies
- Enforcing Privacy and Data Security
- Implement Data Policies and Regulations
- Understand Ethical Considerations

How well did you know this?
1
Not at all
2
3
4
5
Perfectly
14
Q

What are the different levels of proficiency for Data Management and Governance?

A

(MEF)
- Maintain vigilant awareness
- Effectively implement and enforce policies
- Formulate comprehensive policies

How well did you know this?
1
Not at all
2
3
4
5
Perfectly
15
Q

In the domain of Operational Analytics, one must have what skills?

A

(GSI)
- General Knowledge of Business Analytics
- Specialized Knowledge of Business Techniques
- Insight Derivation for Decision-Making

How well did you know this?
1
Not at all
2
3
4
5
Perfectly
16
Q

Operational Analytics define a/an ________________ as they have Project Management Skills.

A

Analytics Manager

17
Q

What are the different levels of proficiency for Operational Analytics?

A

(CDD)
- Conduct a comprehensive business analysis
- Determine the business implications
- Discover fresh opportunities

18
Q

In the domain of Data Visualization and Presentation, one must have what skills?

A

(CU)
- Create and Communicate Compelling and Actionable Insights
- Utilizing Data Visualization and Presentation

19
Q

What are the different levels of proficiency in Data Visualization and Presentation?

A

(CDC)
- Create data visualization reports
- Design infographics
- Choose suitable visualization methods

20
Q

In the domain of Research Methods, one must have what skills?

A

(UD)
- Utilize scientific and engineering methods
- Discover and create new knowledge and insights

21
Q

The Research Method skills define a/an ______________, it encompasses strategies, processes, and techniques. They are utilized in the collection of data to uncover new information.

A

Data Scientists

22
Q

What are the different levels of proficiency in Research Methods?

A

(EFC)
- Employ the 4-step research model
- Formulate research questions
- Create experiments

23
Q

In the domain of Data Engineering Principles, one must have what skills?

A

(UssD)
- Utilize software and system engineering
- Develop data analytics application

24
Q

The Data Engineering Principles skills define a/an ____________, it encompasses ETL (Extract, Transform, Load). They are the ones who bring all the data in one repository.

A

Data Engineers

25
What are the different levels of proficiency in Data Engineering Principles?
(PAD) - Proficiency in programming - Architect and construct - Demonstrate advanced expertise
26
In the domain of Statistical Techniques, one must have what skills?
Apply Statistical Concepts and Methodologies for data analysis
27
The skills in Statistical Techniques are defined by __________, it encompasses Math and Statistics. They are utilized to analyze raw data especially from a research data to extract information.
Data Scientists
28
What are the different levels of proficiency in Statistical Techniques?
(PER) - Possess efficiency in employing statistical methods - Evaluate and recommend the most suitable statistical methods - Recognize issues within collected data
29
In the domain of Data Analytics, Methods, and Algorithms, one must possess what skills?
(ID) - Implement and Evaluate Machine Learning Methods and Algorithms - Deriving Insights from data for Decision-Making.
30
The skills in the domain of Data Analytics, Methods, and Algorithms are defined by ___________, it encompasses, Algorithm and Machine Learning. They are used to identify the most appropriate methods or algorithms to extract insights from data.
Data Scientists
31
What are the different levels of proficiency in Data Analytics, Methods, and Algorithms?
(IAE) - Illustrate comprehension of statistical hypothesis - Apply quantitative techniques - Evaluate data reliability and appropriateness
32
In the domain of Computing, one must have what skills?
(AUU) - Apply information technology and computational thinking. - Utilize programming languages for analysis. - Utilize software and hardware solutions also for analysis.
33
True or False. Computing skills are defined by both Data Scientist and Data Engineering.
True
34
What are the different levels of proficiency in Computing skills?
(CUC) - Conduct fundamental data manipulation - Utilize computational thinking - Choose suitable application
35
What are the essential skills under 21st Century Skills?
- Critical Thinking - Communication - Collaboration - Creativity and Attitude - Planning and Organizing - Business Fundamentals - Customer Focus - Working with Tools and Technology - Dynamic (Self-) Re-Skilling - Professional Network