INTRODUCTION – Your Career as a Data Professional
You, through a detailed study of the skills of data professionals such as data analysis and teamwork, will explore the process of data analysis and visualization.
Learning Objectives
- Recognize the various career resources that would assist in preparation for a job search, and then compare and contrast these resources available.
- Accept that data-driven work has ethical implications and that the responsibilities of a data professional.
- A data analyst is an individual whose job is to analyze the data collected by an organization. An example of this would be a financial analyst who interprets data and translates it into what the organizations in question can do to create or retain value for their stakeholders. What this means is that data analysts advise organizations on financial and process improvements based on data analysis.
PRACTICE QUIZ: ACTIVITY: WRITE PROMPTS FOR BARD
1. Did you complete this activity?
- Yes (CORRECT)
- No
Correct: Thanks for completing this activity! It’s a really great part of the life of a data professional to keep learning how to use new tools, such as conversational AI. Check the feedback to the quiz questions to see how you did.
2. What tasks can LLMs help data professionals perform? Select all that apply.
- Lead a data team
- Exploratory data analysis (EDA) (CORRECT)
- Building and evaluating models (CORRECT)
- Data cleaning (CORRECT)
Correct: Big language models (LLMs) can help data professionals in many important tasks like data cleaning, exploratory data analysis (EDA), and building and validating models.
3. What are best practices for writing prompts for LLMs? Select all that apply.
- Ask vague questions
- Provide context (CORRECT)
- Be clear and concise in your instructions (CORRECT)
- Include a description of Bard’s role (CORRECT)
Correct: Best practices for writing prompts for LLMs [large language models] should involve being very clear and concise with the instructions, giving relevant context, and defining the role of such LLM’s.
PRACTICE QUIZ: TEST YOUR KNOWLEDGE: TRAJECTORY OF THE FIELD
1. Fill in the blank: Artificial intelligence is the development of _____ able to perform tasks that normally require human intelligence.
- metrics
- computer systems (CORRECT)
- statistics
- business intelligence tools
Correct: Automated systems that can perform functions usually needing human intelligence are referred to as artificial intelligence.
2. In what way is building diverse teams an effective method for countering human bias in data work? Select all that apply.
- It eliminates outliers in the data.
- It incorporates a wide range of perspectives. (CORRECT)
- It yields more accurate project results. (CORRECT)
- It promotes wider representation. (CORRECT)
Correct: Organizations form diverse teams to reduce human bias in their endeavors by including a wide variety of voices and viewpoints to ensure that there is proper representation, which would likely produce better-sounding results in data projects.
3. Data professionals can use AI to help them perform which of the following tasks? Select all that apply.
- Use emotional intelligence to address the concerns of stakeholders.
- Create predictive models to forecast future events. (CORRECT)
- Analyze large datasets. (CORRECT)
- Automate time-consuming tasks such as data cleaning. (CORRECT)
Correct: Using AI, data professionals construct predictive models that foresight when some phenomena will occur, automate repetitive tasks such as cleaning the data, and analyze massive data sets quickly, something with which they would be unable to do.
4. What tool can generate human-like text in response to a wide range of prompts and questions from data professionals?
- Large language model (LLM) (CORRECT)
- Database
- Spreadsheet
- Dashboard
Correct: A large language model or LLM generates text in human-like responses to a variety of prompts and questions from data professionals. It is an AI algorithm that relies on deep learning techniques to identify patterns in text and understand relationships between words and phrases.
QUIZ: MODULE 3 CHALLENGE
1. How would a data professional practice active listening?
- Allow others to share their points of view before offering a response (CORRECT)
- Only participate in discussions when asked a direct question
- Brainstorm collaboratively
- Proactively address feedback
Correct!
2. What is the main objective of data cleaning?
- Identify improvement opportunities
- Make data visualizations more readable
- Safeguard an organization’s systems and tools
- Remove anything that could cause an error during analysis (CORRECT)
Correct!
3. Which of the following are data engineer responsibilities? Select all that apply.
- Perform research about data
- Ensure the data ecosystem offers reliable results (CORRECT)
- Manage infrastructure for data across the enterprise (CORRECT)
- Make data accessible (CORRECT)
Correct!
4. Fill in the blank: Insights or _____ team managers supervise an organization’s analytical strategy.
- Analytics (CORRECT)
- visualization
- operations
- hardware
Correct!
5. Fill in the blank: Business intelligence engineers are responsible for organizing data and making it _____.
- qualitative
- private
- accessible (CORRECT)
- secure
Correct!
6. Which of the following statements accurately describes a RACI matrix? Select all that apply.
- Someone who is labeled “accountable” actually performs the work and makes decisions that are directly related to completing a task.
- The acronym RACI stands for responsible, accountable, consulted, and informed. (CORRECT)
- Someone who is labeled “consulted” is typically a subject matter expert who offers input on a task. (CORRECT)
- Someone who is labeled “informed” is kept aware of progress and the concerns of people working on a project. (CORRECT)
Correct!
7. A hiring supervisor considers whether a data team job candidate is committed to learning new skills. They want to hire someone who will continue to learn and grow as new technologies and regulations emerge. Which principle for data team building does this scenario describe?
- Business Impact
- Accountability
- Adaptability (CORRECT)
- Standardization
Correct!
8. What is the primary goal of active listening?
- Achieve benchmarks
- Select appropriate datasets
- Maintain processes
- Improve mutual understanding (CORRECT)
Correct!
9. What does a data professional do when cleaning data? Select all that apply.
- Aggregate data
- Govern data
- Remove unwanted data (CORRECT)
- Format data (CORRECT)
Correct!
10. Fill in the blank: Data engineers are responsible for managing _____ for data across the enterprise.
- Dashboards
- Infrastructure (CORRECT)
- research
- projects
Correct!
11. Which data professionals are responsible for supervising an organization’s analytical strategy?
- Insights or analytics team managers (CORRECT)
- Information technology professionals
- Data warehousing specialists
- Data security officers
Correct!
12. Fill in the blank: Business intelligence engineers are responsible for _____ data and making it accessible.
- safeguarding
- archiving
- organizing (CORRECT)
- creating
Correct!
13. A data professional establishes a procedure for documenting project notes, records, and metadata. Their objective is to add transparency and security to data teams and projects by examining and communicating about processes. Which of the principles for data team building does this scenario describe?
- Business impact
- Activation
- Accountability (CORRECT)
- Adaptability
Correct!
14. Fill in the blank: A data professional practices active listening when they allow others to _____ before offering a response.
- share their points of view (CORRECT)
- access supporting materials
- collaborate with stakeholders
- think critically
Correct!
15. What tasks are involved in data cleaning? Select all that apply.
- Archiving datasets for later use
- Eliminating structural errors and empty spaces (CORRECT)
- Tagging and consolidating duplicates (CORRECT)
- Removing irrelevant entries (CORRECT)
Correct!
16. Fill in the blank: Business intelligence engineers are responsible for organizing data and making it _____.
- secure
- private
- accessible (CORRECT)
- qualitative
Correct!
17. Fill in the blank: Data engineers are responsible for making data _____.
- insightful
- anonymized
- accessible (CORRECT)
- duplicative
Correct!
18. Which of the following are the responsibilities of insights or analytics team managers? Select all that apply.
- Copy data from one computer to another
- Effectively store data
- Manage multiple groups (CORRECT)
- Supervise an organization’s analytical strategy (CORRECT)
Correct!
19. What type of data professional is responsible for organizing information and making it accessible?
- Digital data analyst
- Project manager
- Business intelligence engineer (CORRECT)
- Data scientist
Correct!
20. What are the most common activities performed by technical data professionals? Select all that apply.
- Project management
- Machine learning (CORRECT)
- Statistical inference (CORRECT)
- Data analytics (CORRECT)
Correct: The major activities that a technical data professional engages him are data analytics, machine learning, and statistical inference. Through these activities, professionals help organizations unhook the business value hidden behind data.