The Data Scientist’s Toolbox Coursera Answer 2020

The Data Scientist’s Toolbox – Coursera

4.6 Stars (28,873 ratings)

Instructor: Jeff Leek

Enroll Now

In this The Data Scientist’s Toolbox course you will get an introduction to the fundamental devices and thoughts in the information researcher’s tool stash. The course gives a review of the information, questions, and tools that data analyst and data scientist work with. There are two segments to this course. The first is a calculated introduction to the thoughts behind transforming information into noteworthy information. The second is a pragmatic introduction to the apparatuses that will be utilized in the program like adaptation control, markdown, git, GitHub, R, and RStudio.

Here you will find all the questions and quiz answers relater to “The Data Scientist’s Toolbox By Coursera”

N.B. We endeavored our best to keep this site invigorated for our customers in vain. You can similarly contribute by reviving new requests or existing request answer(s). There are various requests on our site, it is hard for us to check them reliably. It will be exceptional if you can help us with refreshing the site. Simply let us know whether you locate any new inquiries through mail or remark . We will endeavor to invigorate the request/answer ASAP.

Use “Ctrl+F” To Find Any Questions Answer. & For “Mobile User” You Just Need To Click On Three dots In Your Browser & You Will Get A “Find” Option There. Utilize These Option to Get Any Random Questions Answer.

The Data Scientist’s Toolbox Coursera Quiz Answer

Week-1 (Data Science Fundamentals)

Practice Quiz-1

1.Which of the following is an example of structured data?

A database of individual’s addresses, phone numbers, and post codes
YouTube video transcript
Satellite imagery of weather patterns

1.Which of the following is an example of structured data?

Lung x-ray images of smokers
A database of individual’s addresses, phone numbers, and post codes
A compilation of cat videos

7 V’s Of Big Data
1	Velocity
2	Variety
3	Variability
4	Veracity
5	Volume
6	Visualisation
7	Value

2. Which is NOT one of the three V’s of Big Data?

volume, vibrant, vital
vast, versatile, vital
visible, variety, vast

2. Which is NOT one of the three V’s of Big Data?

vexing, visible, vast
variety, velocity, vexing
velocity, variety, volume

3.Which of these is NOT one of the main skills embodied by data scientists?

Machine learning
Hacking skills
Math and stats

3. Which of these is NOT one of the main skills embodied by data scientists?

Hacking skills
Artificial intelligence
Math and stats

Practice Quiz-2

1.Which of these is an example of a quantitative variable?

clothing brand, genre, birthplace
occupation, height, gender
age, weight, height

1. Which of these is an example of a quantitative variable?

latitude, age, weight
height, birthplace, gender
genre, occupation, age

2. Quantitative variables are measured on ordered, continuous scales.

True
False

3. What is the most important thing in Data Science?

Knowing Hadoop and Pig
The question you are trying to answer
Machine learning and prediction

3. What is the most important thing in Data Science?

The data
Working with large data sets
The question you are trying to answer

Practice Quiz-3

1. Which of these might be a good title for a forum post?

How do I get rnorm() to work?
STAT101 quiz
Removing rows with NAs in data.frame using subset(), R 3.4.3

2. Which is a characteristic of a good question when posting to message boards?

Assumes that you’ve discovered a bug in R
Includes follow-ups if you answer your own question
Asks for a code fix without explanation

3. Which is NOT a good strategy for finding the answer to a problem in this course?

Explaining your problem to a friend/coworker
Searching the course forum
Googling the error message

3. Which is NOT a good strategy for finding the answer to a problem in this course?

Searching the course forum
Emailing the professor

Explaining your problem to a friend/coworker

Practice Quiz-4

Will be added later

Quiz-1

Module One Summative Quiz

1. Which of these is NOT one of the main skills embodied by data scientists?

Access to large data sets
Hacking skills
Substantive expertise

2. What is the most important thing in Data Science?

The question you are trying to answer
Statistical inference
Working with large data sets

3. Which of these might be a good title for a forum post?

URGENT! R isn’t working!
Removing rows with NAs in data.frame using subset(), R 3.4.3
How do I get rnorm() to work?

4. What’s the first step in the data science process?

Communicate your findings
Exploring the data
Generating the question

5.Which of these is an example of a quantitative variable?

Latitude
Occupation
Educational level

Week- 2 (R and RStudio)

Practice Quiz-1

Will be added later

Practice Quiz-2

Will be added later

Practice Quiz-3

Will be added later

Practice Quiz-4

Will be added later

Quiz-2

Module Two Summative Quiz

1. What does base R focus on?

Mapping
Statistical analysis
Artificial intelligence

2.What is RStudio?

A graphical user interface for R
Version control software
A programming language

3.What is the name of the quadrant in the bottom left corner of RStudio, in the default layout?

History
Plots
Console

4.What command lists your R version, operating system, and loaded packages?

versions()
Sessioninfo()
sessionInfo()

5. What file extension do Projects in R use?

.Rproj
.R
.RPROJECT

Week-3 (Version Control and GitHub)

Practice Quiz-1

Will be added later

Practice Quiz-2

Will be added later

Practice Quiz-3

Will be added later

Practice Quiz-4

Will be added later

Quiz-3

1.What is a good example of a message to accompany a commit?

Modified linear model of height to include new covariate, genotype
Fixed problem with linear model
Updated thing

2. On each repository page in GitHub, in the top right hand corner there are three options. They are:

Watch, star, fork
Pull, clone, fork
Commit, contributors, issues

3. Which of the following will initiate a git repository locally?

git init
git remote add
git boom

4. What is the order of commands to send a file to GitHub from within RStudio?

Commit > Push
Stage > Commit message > Commit > Push
Pull > Push > Commit

5. How do you add all of the contents of directory to version control?

git add .
cd ~/dir/name/of/path/to/file
git commit -m “Message”

Week-4 (R Markdown, Scientific Thinking, and Big Data)

Practice Quiz-1

Will be added later

Practice Quiz-2

Will be added later

Practice Quiz-3

Will be added later

Practice Quiz-4

Will be added later

Quiz-4

1.What is the format for including a link that appears as blue text in your markdown document?

[text that is shown](link.com)
(link.com)[text that is shown]
(text that is shown)[link.com]

2. Which of the following describes a predictive analysis?

Using data collected in the past to predict values in the future
Finding if one variable is related to another one
Showing the effect on a variable of changing the values of another variable

3. We collect data on all the songs in the Spotify catalogue and want to summarize how many are country western, hip-hop, classic rock, or other. What type of analysis is this?

Exploratory
Descriptive
Predictive

4. What might a confounder be in an experiment looking at the relationship between the prevalence of white hair in a population and wrinkles?

Age
Socioeconomic status
Sex

5. Which one of the following is an example of structured data?

The text from a series of books
Lung x-ray images
A table of names and student grades

The above questions are from “The Data Scientist’s Toolbox “. You can discover all the refreshed questions and answers related to this on the “The Data Scientist’s Toolbox By Coursera” page. If you find the updated questions or answers, do comment on this page and let us know. We will update the answers as soon as possible.