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Funda Of Anal Reviewers > Module 2 > Flashcards

Module 2 Flashcards

1
Q

How many categorized skills are there within Analytics Competencies.

A

Four

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2
Q

What are the Categorized Skills under Analytics Competencies.

A

(BoTW)
Business and Organization Skills
Technical Skills
Workplace Skills

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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

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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

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5
Q

What is the one competency under Workplace Skills.

A

21st Century Skills

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6
Q

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

A

Entry Level

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7
Q

What are the three levels of proficiency regarding competencies.

A

Entry Level
Immediate Level (Intermediate Level)
Expert Level

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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)

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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

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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
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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

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12
Q

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

A

Functional Analyst

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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

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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

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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

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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
Q

What are the different levels of proficiency in Data Engineering Principles?

A

(PAD)
- Proficiency in programming
- Architect and construct
- Demonstrate advanced expertise

26
Q

In the domain of Statistical Techniques, one must have what skills?

A

Apply Statistical Concepts and Methodologies for data analysis

27
Q

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.

A

Data Scientists

28
Q

What are the different levels of proficiency in Statistical Techniques?

A

(PER)
- Possess efficiency in employing statistical methods
- Evaluate and recommend the most suitable statistical methods
- Recognize issues within collected data

29
Q

In the domain of Data Analytics, Methods, and Algorithms, one must possess what skills?

A

(ID)
- Implement and Evaluate Machine Learning Methods and Algorithms
- Deriving Insights from data for Decision-Making.

30
Q

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.

A

Data Scientists

31
Q

What are the different levels of proficiency in Data Analytics, Methods, and Algorithms?

A

(IAE)
- Illustrate comprehension of statistical hypothesis
- Apply quantitative techniques
- Evaluate data reliability and appropriateness

32
Q

In the domain of Computing, one must have what skills?

A

(AUU)
- Apply information technology and computational thinking.
- Utilize programming languages for analysis.
- Utilize software and hardware solutions also for analysis.

33
Q

True or False. Computing skills are defined by both Data Scientist and Data Engineering.

A

True

34
Q

What are the different levels of proficiency in Computing skills?

A

(CUC)
- Conduct fundamental data manipulation
- Utilize computational thinking
- Choose suitable application

35
Q

What are the essential skills under 21st Century Skills?

A
  • 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

Funda Of Anal Reviewers (4 decks)

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