Introduction to data analytics for business

Introduction to Data Analytics for Business Coursera quiz answers | 100% Correct Answers Free (Updated 2020)

Data analytics is essential for any kind of business. That is why I completed this Introduction to data analytics for business course offered by “Coursera”. I tried my level best to provide you with all correct answers that will help you to pass and learn from this course.

 

Introduction to data analytics for business

Offered By ” University Of Colorado Boulder”

4.7 stars (2,030 ratings)

Instructor: David Torgerson

N.B. We attempted our best to keep this site refreshed for our clients for nothing. You can likewise contribute by refreshing new inquiries or existing inquiry answer(s). There are numerous inquiries on our site, it is difficult for us to check them consistently. It will be extraordinary on the off chance that you can assist us with updating the site. Just let us know if you find any new questions through mail or comment . We will attempt to refresh the inquiry/answer ASAP.



 

Week- 1 Quiz

 

1.  What statement below best describes why we do data analytics in business?

Refer to the following video for a refresher: video 1.

 

  • Analytics improve our understanding of how the business works
  • We must show a return on the investment we make in data & analytical resources
  • We need specific insights to make business decisions
  • We have to calculate & report financial results to owners / shareholders

Click Here To View Answer

 

 

2. What should you consider as you approach an analytical problem and in which order? Identify correct order for the following ideas / steps.

For example, if you think they are already in the correct order, correct answer would be ABCDEF.

A. Sourcing Data

B. Analysis Outputs

C. Execute Analysis

D. Analysis Methods

E. Define Decision

F. Data Needs

Refer to the following video for a refresher: video 1.

 

  • ABCDEF:
  • A. Sourcing Data
  • B. Analysis Outputs
  • C. Execute Analysis
  • D. Analysis Methods
  • E. Define Decision
  • F. Data Needs

 

  • EBDAFC
  • E. Define Decision
  • B. Analysis Outputs
  • D. Analysis Methods
  • A. Sourcing Data
  • F. Data Needs
  • C. Execute Analysis

 

  • EBDFAC
  • E. Define Decision
  • B. Analysis Outputs
  • D. Analysis Methods
  • F. Data Needs
  • A. Sourcing Data
  • C. Execute Analysis

 

  • BDFACE
  • B. Analysis Outputs
  • D. Analysis Methods
  • F. Data Needs
  • A. Sourcing Data
  • C. Execute Analysis
  • E. Define Decision

Click Here To View Answer

 

 

3. What diagram below best describes the relationship between a mobile wireless carrier account holder and devices at a point in time?

A – shows oval with account connected to oval with device by straight line

B – shows oval with account connected to oval with device by straight line – forked end on Account side

C – shows oval with account connected to oval with device by straight line – forked end on Device side

D – shows oval with account connected to oval with device by straight line – forked end on both sides

Refer to the following video for a refresher: video 2.

  • A
  • B
  • C
  • D

Click Here To View Answer

 

 

4. For the next 5 questions that describe types of metrics, select a source that best describes where the following data might come from:

The average temperature of a turbine bearing over the last 8 hours

Refer to the following video for a refresher: video 1.

  • Billing System
  • Usage Tracking System
  • Customer Relationship Management System
  • Machine Data System
  • Enterprise Resource Planning System
  • Ticketing / Workflow System

Click Here To View Answer

 

 

5. Select a source that best describes where the following data might come from:

The number of developers allocated to a company software project

 

  • Billing System
  • Usage Tracking System
  • Customer Relationship Management System
  • Machine Data System
  • Enterprise Resource Planning System
  • Ticketing / Workflow System

Click Here To View Answer

 

 

6. Select a source that best describes where the following data might come from:

Household water consumption by month

 

  • Billing System
  • Usage Tracking System
  • Customer Relationship Management System
  • Machine Data System
  • Enterprise Resource Planning System
  • Ticketing / Workflow System

Click Here To View Answer

 

 

7. Select a source that best describes where the following data might come from:

The dollar amount of unpaid invoices at the end of a month

 

  • Billing System
  • Usage Tracking System
  • Customer Relationship Management System
  • Machine Data System
  • Enterprise Resource Planning System
  • Ticketing / Workflow System

Click Here To View Answer

 

 

8. Select a source that best describes where the following data might come from:

The average age of customers in Madison, Wisconsin

  • Billing System
  • Usage Tracking System
  • Customer Relationship Management System
  • Machine Data System
  • Enterprise Resource Planning System
  • Ticketing / Workflow System

Click Here To View Answer

 

 

9. Why is it important for data analysts to understand the value-chain (process) associated with information and the analytical process?

Refer to the following videos for a refresher: videos 3 and 4

What do you think?

 

Click Here To View Answer

 

 

10. Identify correct order of steps in the Information-Action Value Chain.

Refer to the following videos for a refresher: videos 3 and 4.

 

  • ABCDEFGHI
  • A. Develop Strategy & Plan
  • B. Deliver the Pitch
  • C. Events & Characteristics in the Real World
  • D. Take Action
  • E. Data Capture by Source Systems
  • F. Data Extraction
  • G. Data Storage
  • H. Analytical Methods
  • I. Summarize & Interpret Results

 

  • CEFGHIABD
  • C. Events & Characteristics in the Real World
  • E. Data Capture by Source Systems
  • F. Data Extraction
  • G. Data Storage
  • H. Analytical Methods
  • I. Summarize & Interpret Results
  • A. Develop Strategy & Plan
  • B. Deliver the Pitch
  • D. Take Action

 

  • CEGFHIABD
  • C. Events & Characteristics in the Real World
  • E. Data Capture by Source Systems
  • G. Data Storage
  • F. Data Extraction
  • H. Analytical Methods
  • I. Summarize & Interpret Results
  • A. Develop Strategy & Plan
  • B. Deliver the Pitch
  • D. Take Action

 

  • CEGFHIBAD
  • C. Events & Characteristics in the Real World
  • E. Data Capture by Source Systems
  • G. Data Storage
  • F. Data Extraction
  • H. Analytical Methods
  • I. Summarize & Interpret Results
  • B. Deliver the Pitch
  • A. Develop Strategy & Plan
  • D. Take Action

Click Here To View Answer

 

 

11. Why do we bring data together into a common location (select all that apply)?

Refer to the following video for a refresher: video 3.

  • We can establish relationships among data sources
  • It’s more convenient for extraction to have data in one place
  • Sometimes we can’t access source systems directly
  • Source data may be unstructured or not formatted for analysis

Click Here To View Answer

 

 

12. What type of analytics would you use to determine the best way to route delivery trucks to minimize miles driven or gasoline consumed?

Refer to the following video for a refresher: video 4.

  • Descriptive
  • Predictive
  • Transitive
  • Cognitive
  • Prescriptive

Click Here To View Answer

 



Week- 2 Quiz

 

 

1.  What type of file normally stores two dimensional data with column and row breaks, identified using special characters?

Refer to the following video for a refresher: video 1.

 

  • XML File
  • Log File
  • Delimited Text File
  • Excel File

Click Here To View Answer

 

 

2. What term best describes data storage that is optimized for handling front-end business operations?

Refer to the following video for a refresher: video 1.

 

  • Online Analytical Processing ( OLAP )
  • Document Store
  • Online Transactional Processing ( OLTP )
  • Hadoop Distributed File System ( HDFS )

Click Here To View Answer

 

 

3.Suppose you are a software developer looking for an online environment to help you rapidly build and scale applications. Which of the following services would best accommodate your needs?

Refer to the following video for a refresher: video 2.

 

  • Software as a Service ( SaaS )
  • Platform as a Service ( PaaS )
  • Infrastructure as a Service ( IaaS )
  • Development as a Service ( DaaS )

Click Here To View Answer

 

 

4. Which of the following statements about Cloud computing are true? (select all that apply)

Refer to the following video for a refresher: video 2.

  • Cloud computing is more secure than a company’s data center
  • Cloud computing is needed for handling Big Data
  • Cloud computing can allow cheaper and more scalable operations
  • Cloud computing outsources all of a company’s data operations
  • Cloud computing speaks to where data is stored or manipulated

Click Here To View Answer

 

 

5. Suppose your objective is to build a predictive model that can be used to recommend products to customers in real-time based on their navigation on your web site. Which of these technologies would be most critical in helping you achieve this objective?

Refer to the following video for a refresher: video 3.

 

  • Hadoop Distributed File System ( HDFS )
  • In-Memory Computing
  • Data Federation
  • In-Database Analytics
  • Data Virtualization

Click Here To View Answer

 

 

6. Suppose you are a data analyst working on a project to show why sales in a particular region are down relative to other regions. Your job is to figure out what’s going on, find a good way to show the data, and produce a report that can be automated to go out weekly to track progress on any actions that are taken. You anticipate that only descriptive analytics will be needed for this project, and you’re working from a data set that has been prepared by your partners in IT.

Which of the following classes of tools are you most likely to use directly in this project? (select all that apply)

Refer to the following video for a refresher: video 5.

 

  • Standard reporting
  • Data visualization & exploration
  • Database systems
  • Dashboarding
  • Statistical modeling

Click Here To View Answer

 

 

7.Suppose you’re a data analyst and you’re traveling to a conference. There’s a straightforward but critical ad-hoc analysis you need to accomplish, but you’re not certain how much internet connectivity you’ll have during your trip. You also haven’t decided which of your desktop tools you’ll use in the analysis.

Which of the following process methodologies would work best for your situation?

Refer to the following video for a refresher: video 6.

 

  • Downstream Integration Approach
  • Intermediate File Approach
  • Direct Connection Approach

Click Here To View Answer

 

 

8.For the following 9 questions, consider the set of relational database tables below, illustrated using the shorthand we introduced in the module.

For simplicity, assume that a phone number is a permanent attribute of the subscriber and that subscribers on both the “to” and “from” sides of calls are included in the database.

What kind of key best describes the primary key of the PLANS table ?

Refer to the following video for a refresher: video 4.

 

  • Natural
  • Surrogate
  • Composite

Click Here To View Answer

 

 

9.Which table, if any, has a Composite Primary Key?

  • SUBSCRIBERS
  • PLANS
  • CALLS
  • DEVICES

Click Here To View Answer

 

 

10.Select all the fields which COULD have foreign key relationships in THIS model:

  • Device_SN
  • Device_Type
  • Phone_Number
  • From_Number
  • End_Time
  • Plan_ID
  • Model
  • To_Number
  • Manufacturer

Click Here To View Answer

 

 

11.In the next 6 questions, define the relationship between the tables.

Refer to the following video for a refresher: video 4.

SUBSCRIBERS to PLANS

  • One to One
  • One to Many
  • Many to One
  • Many to Many
  • No direct relationship

Click Here To View Answer

 

 

12.CALLS to SUBSCRIBERS

  • One to One
  • One to Many
  • Many to One
  • Many to Many
  • No direct relationship

Click Here To View Answer

 

 

13.DEVICES to SUBSCRIBERS

  • One to One
  • One to Many
  • Many to One
  • Many to Many
  • No direct relationship

Click Here To View Answer

 

 

14. CALLS to DEVICES

  • One to One
  • One to Many
  • Many to One
  • Many to Many
  • No direct relationship

Click Here To View Answer

 

 

15. PLANS to CALLS

  • One to One
  • One to Many
  • Many to One
  • Many to Many
  • No direct relationship

Click Here To View Answer

 

 

16. DEVICES TO PLANS

  • One to One
  • One to Many
  • Many to One
  • Many to Many
  • No direct relationship

Click Here To View Answer

 

 

17.Is this data model in third normal form?

Refer to the following video for a refresher: video 4.

  • Yes
  • No

Click Here To View Answer



The above questions are related to “Introduction to Data Analytics for Business “. If you find the update in question or answers, do comment on this page and let us know. We will update the answers as soon as possible.

To get the rest of the answers of week-3 and week-4 of  ” Introduction to Data Analytics for Business Coursera” course please click below: 

 

Week- 3 Quiz Answer

Click Here To View Answer

Week- 4 Quiz Answer

Click Here To View Answer

 



You can check other courses answers in the following:

1- Marketing Analytics | Coursera | – All 5 Week 100% Correct Quiz & Assignment Answers Free

2- Code Yourself! An Introduction to Programming- Coursera – All 5 Week Quiz Answers & Lab Assignments Free

3- Mindshift: Break Through Obstacles to Learning- Coursera Courses Quiz & Assignment Answers Free.

4- Introduction to Programming with MATLAB- Coursera Course : Quiz & Assignment Answers Free – Week(4-6)

5- Introduction to Programming with MATLAB- Coursera Course : Quiz & Assignment Answers Free – Week(7-9)

6- Fashion As Design | Coursera | All 7 Week 100% Correct Quiz & Assignment Answers Free

7. The Science of Well-Being | Coursera | All 10 Week 100% Correct Quiz & Assignment Answers Free

8. Industrial IoT on Google Cloud Platform By Coursera. All 2 Week Quiz Answers & Assignment [Updated 2020].

9. learning How To Learn Coursera Quiz Answers | 100% Correct Answers

10. Marketing In Digital World Coursera Quiz Answer | 100% Correct Quiz And Assignments Free

11. A Life of Happiness and Fulfillment- Coursera Quiz Answer | 100% Correct Answers

12. Introduction to Philosophy

13. Social Psychology Quiz And Assignment Answers | Week (1-7)

14. Competitive Strategy Coursera Quiz Answers | 100 % Correct Answers Of Week (1-6)

15. Successful Negotiation: Essential Strategies and Skills Quiz Answer | All Week Answer

16. Coursera Financial Markets Quiz Answer | 100% Correct Answer | Week (1-7)

17. Mastering Data Analysis in Excel Coursera Quiz Answer | 100% Correct Answer Of Week (1-6)

18. Introduction to Marketing Coursera Quiz Answer

19. Work Smarter, Not Harder: Time Management for Personal & Professional Productivity Quiz Answer

Similar Posts