Prepare Data for Exploration Week 1 Weekly challenge 1

google data analytics quiz

#google #data #science #coursera #quiz #challenge

Question 1

If you have a short time frame for data collection and need an answer immediately, you likely will have to use historical data.

1 / 1 point

True

False

Correct

If you have a short time frame for data collection and need an answer immediately, you likely will have to use historical data.

Question 2

Which of the following is an example of continuous data?

1 / 1 point

Box office returns

Movie budget

Leading actors in movie

Movie run time

Correct

Movie run time is an example of continuous data. 

Question 3

Which of the following questions collects nominal qualitative data?

1 / 1 point

On a scale of 1-10, how would you rate your service today? 

How many people do you usually dine with?

Is this your first time dining at this restaurant?

How many times have you dined at this restaurant?

Correct

“Is this your first time dining at this restaurant?” is a question that collects nominal qualitative data.

Question 4

Why is internal data considered more reliable and easier to collect than external data? 

1 / 1 point

Internal data has much larger sample sizes.

Internal data lives within a company’s own systems.

Internal data comes from people you know.

Internal data circumvents privacy restrictions.

Correct

Internal data is considered more reliable and easier to collect than external data because it lives within a company’s own systems. 

Question 5

A social media post is an example of structured data.

1 / 1 point

True

False

Correct

A social media post is an example of unstructured data.

Question 6

Which of the following values are examples of a Boolean data type? Select all that apply.

1 / 1 point

One, two, or three

True or false 

Correct

True or false and yes or no are examples of a Boolean data type.

Yes, no, or unsure

Yes or no

Correct

True or false and yes or no are examples of a Boolean data type.

Question 7

The following is a selection from a spreadsheet: 
Name
Attribute
Value
Agnes Shipton
Age
44
Agnes Shipton
Occupation
Entrepreneur
Henry Sing
Age
36
Henry Sing
Occupation
Editor
What kind of data format does it contain?

0 / 1 point

Short

Wide

Narrow

Long

Incorrect

Question 8

Fill in the blank: Data transformation enables data analysts to change the _____ of the data.

1 / 1 point

accuracy

structure

value

meaning

Correct

Data transformation enables data analysts to change the structure of the data.

Comments

Rectangular Microstrip Patch Antenna

Microstrip is a type of electrical transmission line which can be fabricated using printed circuit board technology, and is used to convey microwave-frequency signals. It consists of a conducting strip separated from a ground plane by a dielectric layer known as the substrate. The most commonly employed microstrip antenna is a rectangular patch which looks like a truncated microstrip transmission line. It is approximately of one-half wavelength long. When air is used as the dielectric substrate, the length of the rectangular microstrip antenna is approximately one-half of a free-space wavelength . As the antenna is loaded with a dielectric as its substrate, the length of the antenna decreases as the relative dielectric constant of the substrate increases. The resonant length of the antenna is slightly shorter because of the extended electric "fringing fields" which increase the electrical length of the antenna slightly. An early model of the microst...

Prepare Data for Exploration : weekly challenge 1

Prepare Data for Exploration : weekly challenge 1 #coursera #exploration #weekly #challenge 1 #cybersecurity #coursera #quiz #solution #network Are you prepared to increase your data exploration abilities? The goal of Coursera's Week 1 challenge, "Prepare Data for Exploration," is to provide you the skills and resources you need to turn unprocessed data into insightful information. With the knowledge you'll gain from this course, you can ensure that your data is organised, clean, and ready for analysis. Data preparation is one of the most important processes in any data analysis effort. Inaccurate results and flawed conclusions might emerge from poorly prepared data. You may prepare your data for exploration with Coursera's Weekly Challenge 1. You'll discover industry best practises and insider advice. #answers #questions #flashcard 1 . Question 1 What is the most likely reason that a data analyst would use historical data instead of gathering new data? 1 / 1...

Cracking Passwords Using John the Ripper: A Complete Step-by-Step Guide

Cracking Passwords Using John the Ripper: A Complete Step-by-Step Guide In today's post, we’re diving into a practical lab exercise that shows how to use John the Ripper, one of the most effective password-cracking tools in cybersecurity. Whether you're an IT professional or a cybersecurity student, mastering John the Ripper will help you understand password vulnerabilities and enhance your penetration testing skills. Lab Objective: The goal of this lab is to crack the root password on a Linux system (Support) and extract the password from a password-protected ZIP file (located on IT-Laptop). Both tasks are performed using John the Ripper. Steps to Crack the Root Password on Support: Open the Terminal on the Support system. Change directories to /usr/share/john . List the files and open password.lst to view common password guesses. Use John the Ripper to crack the root password by running john /etc/shadow . Once cracked, the password is stored in the john.pot file for future u...

Stream of Knowledge

Search This Blog