Module 2 Flashcards
How many categorized skills are there within Analytics Competencies.
Four
What are the Categorized Skills under Analytics Competencies.
(BoTW)
Business and Organization Skills
Technical Skills
Workplace Skills
What are the four distinct competencies under Business and Organization Skills.
(KAMGOaVaP)
Domain Knowledge and Application
Data Management and Governance
Operational Analytics
Data Visualization and Presentation
What are the five distinct competencies under Technical Skills.
(REPSTAMAC)
Research Methods
Data Engineering Principles
Statistical Techniques
Data Analytics, Methods, and Algorithms
Computing
What is the one competency under Workplace Skills.
21st Century Skills
In this level of proficiency, people are expected to perform tasks with guidance.
Entry Level
What are the three levels of proficiency regarding competencies.
Entry Level
Immediate Level (Intermediate Level)
Expert Level
In this level of proficiency, people are expected to formulate task to achieve Organizational Goals and work independently.
Immediate Level (Intermediate Level)
In this level of proficiency, people are expected to identify new approaches to achieve Organizational Goals. Provide solutions to a problem.
Expert Level
What are the skills that one must have in the domain of Knowledge Application and Domain Expertise?
- Domain-Related Knowledge
- Insights to effectively contextualize data
What are the different levels of expertise for Domain Knowledge and Application?
(CCF)
- Comprehend the collected data
- Craft a comprehensive content strategy
- Formulate compelling business cases
The Domain Knowledge and Application Skills define a _____________, as it encompasses industry knowledge, business experience, and domain expertise.
Functional Analyst
What are the skills that one must have in the domain of Data Management and Governance?
(DEIU)
- Develop and Implement Data Management Strategies
- Enforcing Privacy and Data Security
- Implement Data Policies and Regulations
- Understand Ethical Considerations
What are the different levels of proficiency for Data Management and Governance?
(MEF)
- Maintain vigilant awareness
- Effectively implement and enforce policies
- Formulate comprehensive policies
In the domain of Operational Analytics, one must have what skills?
(GSI)
- General Knowledge of Business Analytics
- Specialized Knowledge of Business Techniques
- Insight Derivation for Decision-Making
Operational Analytics define a/an ________________ as they have Project Management Skills.
Analytics Manager
What are the different levels of proficiency for Operational Analytics?
(CDD)
- Conduct a comprehensive business analysis
- Determine the business implications
- Discover fresh opportunities
In the domain of Data Visualization and Presentation, one must have what skills?
(CU)
- Create and Communicate Compelling and Actionable Insights
- Utilizing Data Visualization and Presentation
What are the different levels of proficiency in Data Visualization and Presentation?
(CDC)
- Create data visualization reports
- Design infographics
- Choose suitable visualization methods
In the domain of Research Methods, one must have what skills?
(UD)
- Utilize scientific and engineering methods
- Discover and create new knowledge and insights
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.
Data Scientists
What are the different levels of proficiency in Research Methods?
(EFC)
- Employ the 4-step research model
- Formulate research questions
- Create experiments
In the domain of Data Engineering Principles, one must have what skills?
(UssD)
- Utilize software and system engineering
- Develop data analytics application
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.
Data Engineers
What are the different levels of proficiency in Data Engineering Principles?
(PAD)
- Proficiency in programming
- Architect and construct
- Demonstrate advanced expertise
In the domain of Statistical Techniques, one must have what skills?
Apply Statistical Concepts and Methodologies for data analysis
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
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
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.
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
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
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.
True or False. Computing skills are defined by both Data Scientist and Data Engineering.
True
What are the different levels of proficiency in Computing skills?
(CUC)
- Conduct fundamental data manipulation
- Utilize computational thinking
- Choose suitable application
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
