introduction to data analytics coursera quiz answers week 1

Modern Data Ecosystem and the Role of Data Analytics

Practice Quiz

1. Which emerging technology has made it possible for every enterprise to have access to limitless storage and high-performance computing?

  • Internet of Things
  • Cloud computing
  • Machine learning
  • Big Data

2. Which of the data roles is responsible for extracting, integrating, and organizing data into data repositories?

  • Data Scientist
  • Business Intelligence Analyst
  • Data Engineer
  • Data Analyst

3. When you analyze historical data to predict future outcomes what type of Data Analytics are you performing?

  • Predictive Analytics
  • Descriptive Analytics
  • Diagnostic Analytics
  • Prescriptive Analytics

Graded Quiz

4. A modern data ecosystem includes a network of continually evolving entities. It includes:

  • Data sources, databases, and programming languages
  • Social media sources, data repositories, and APIs
  • Data sources, enterprise data repository, business stakeholders, and tools, applications, and infrastructure to manage data
  • Data providers, databases, and programming languages

5. Data Analysts work within the data ecosystem to:

  • Build Machine Learning or Deep Learning models
  • Provide business intelligence solutions by monitoring data on different business functions
  • Develop and maintain data architectures
  • Gather, clean, mine, and analyze data for deriving insights

6. When we analyze data in order to understand why an event took place, which of the four types of data analytics are we performing?

  • Prescriptive Analysis
  • Descriptive Analysis
  • Diagnostic Analysis
  • Predictive Analysis

7. The first step in the data analysis process is to gain an in-depth understanding of the problem and the desired outcome. What are you seeking answers to at this stage of the data analysis process?

  • The data you need 
  • The best tools for sourcing data
  • Where you are and where you need to be
  • What will be measured and how it will be measured

8. From the provided list, select the three emerging technologies that are shaping today’s data ecosystem.

  • Big Data, Internet of Things, and Dashboarding
  • Cloud Computing, Internet of Things, and Dashboarding
  • Machine Language, Cloud Computing, and Internet of Things
  • Cloud Computing, Machine Learning, and Big Data

The Data Analyst Role

Practice Quiz

9. Which of these skills is essential to the role of a Data Analyst?

  • Machine learning
  • Statistics
  • Big Data Engineering
  • Deep Learning models

10. What, according to Sivaram Jaladi, goes a long way in lending credibility to your data analysis findings?

  • Networking with your stakeholders
  • Making sure the presentation looks good
  • Writing good queries
  • Sharing your process of arriving at the findings with your stakeholders

Graded Quiz

11. Why is proficiency in Statistics an important skill for a Data Analyst?

  • For creating project documentation
  • For identifying patterns and correlations in data
  • For acquiring data from multiple sources
  • For creating queries to extract required data

12. Which of these is one of the soft skills required to be a successful Data Analyst?

  • Integrate data coming from multiple sources 
  • Work collaboratively with cross-functional teams 
  • Prepare reports and dashboards
  • Filter, clean, and standardize data

13. Which of the data analyst functional skills helps research and interpret data, theorize, and make forecasts?

  • Probing skills 
  • Analytical skills 
  • Proficiency in Statistics
  • Problem-solving skills 

14. In “A day in the life of a Data Analyst”, what according to Sivaram Jaladi forms a large part of a Data Analyst’s job?

  • Interacting with stakeholders 
  • Creating a report
  • Cleaning and preparing data 
  • Generating hypotheses

15. In “A day in the life of a Data Analyst”, what are some of the data points that were useful in analyzing the use case. (Select all that apply)

  • Employment history of the complainants
  • Serial number of the meters

  • Age and education details of complainants
  • Average billing amount of complainants

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