IBM Data Analyst Capstone Project Coursera Quiz Answers

IBM Data Analyst Capstone Project Week 01 Quiz Answers

Quiz 1: Graded Quiz: Collecting Data

Q1. Which python module helps you to easily access an API?

  • NumPy
  • Matplotlib
  • Requests
  • Pandas

Q2. How many job postings exist for Python?

  • 11
  • 78
  • 53
  • 51

Q3. Which programming language has the maximum number of job postings?

  • Java
  • C
  • C++
  • Python

Quiz 2: Graded Quiz: Web Scraping

Q1. Which language are developers paid the most according to the output of the web scraping lab?

  • Java
  • Swift
  • C
  • C++

Q2. Which of the following code segments will help to scrape all images from a html page?

  • soup.find_all(“image”)
  • soup.find_all(“img”)
  • soup.findall(“pic”)
  • soup.findall(“img”)

Quiz 3: Graded Quiz: Exploring Data

Q1. How many rows are in the data set?

  • 11255
  • 11525
  • 11555
  • 11552

Q2. How many columns are in the data set?

  • 84
  • 85
  • 86
  • 26

Q3. What type of column is “Age”?

  • Text
  • Nominal
  • Numerical
  • Categorical

IBM Data Analyst Capstone Project Week 02 Quiz Answers

Quiz 1: Graded Quiz: Duplicates

Q1. How many duplicate rows are there in the dataset?

  • 124
  • 154
  • 99
  • 145

Q2. How many duplicate values are there in the column Respondent?

  • 99
  • 154
  • 10
  • 96

Quiz 2: Graded Quiz:  Removing Duplicates

Q1. After removing the duplicate rows, how many rows are there in the dataset?

  • 11398
  • 9999
  • 13456
  • 12333

Q2. After removing the duplicate rows, how many unique rows are there in the column Respondent?

  • 11398
  • 11342
  • 11999
  • 11000

Quiz 3: Graded Quiz:  Missing Values

Q1. After removing the duplicate rows, how many blank rows are there under the column EdLevel?

  • 280
  • 231
  • 0
  • 112

Q2. After removing the duplicate rows, how many rows are missing under the column Country?

  • 0
  • 188
  • 280
  • 201

Quiz 4: Graded Quiz:   Imputing Missing Values

Q1. What is the majority category under the column Employment?

  • Employed part-time
  • Employed full-time
  • Retired
  • Independent contractor, freelancer, or self-employed

Q2. Under the column ” UndergradMajor”, which category has the minimum number of rows?

  • Computer Science
  • Health Science
  • Fine Arts
  • Information Systems

Q3. The column ‘ConvertedComp’ contains the annual compensation of the survey respondents. What is the best approach to impute the missing values in this column?

  • mean
  • median
  • max
  • min

Quiz 5: Graded Quiz:  Normalizing Data

Q1. How many unique values are there in the CompFreq column?

  • 5
  • 11398
  • 3
  • 7

Q2. After removing the duplicate rows, how many respondents are being paid yearly?

  • 9999
  • 3259
  • 312
  • 6073

Q3. What is the median NormalizedAnnualCompensation?

  • 9000
  • 6132520
  • 100000
  • 8080

IBM Data Analyst Capstone Project Week 03 Quiz Answers

Quiz 1: Graded Quiz: Distribution

Q1. What is the median Age of survey respondents?

  • 30
  • 28
  • 29
  • 31

Q2. What is the median ConvertedComp of  respondents who have identified themselves as ‘Woman’? 

  • 54678
  • 55467
  • 56453
  • 57708

Q3. Based on the histogram, which age group has the highest number of survey respondents?

  • 32-40
  • 40-48
  • 16-24
  • 24-32

Quiz 2: Graded Quiz: Handling Outliers

Q1. What is the median ConvertedComp before removing outliers?

  • 55768
  • 78675
  • 57745
  • 55342

Q2. What is the median ConvertedComp after removing outliers?

  • 52704
  • 53564
  • 55672
  • 56456

Q3. Based on the boxplot of ‘Age’ how many outliers do you see below Q1?

  • 0
  • 3
  • 2
  • 1

Q4. What is the mean ConvertedComp after removing outliers?

  • 59883
  • 10000
  • 34567.34
  • 2378.56

Quiz 3: Graded Quiz: Correlation

Q1. Which column has a negative correlation with “Age“?

  • Respondent
  • CodeRevHrs
  • WorkWeekHrs
  • CompTotal

Q2. Which column has the highest correlation with “Age”?

  • WorkWeekHrs
  • ConvertedComp
  • Respondent
  • CompTotal

IBM Data Analyst Capstone Project Week 04 Quiz Answers

Quiz 1: Graded Quiz: Visualizing Relationship

Q1. Based on the scatter plot of Age and WorkWeekHrs , what kind of  correlation do you see between them?

  • Very high positive correlation
  • Difficult to clearly identify from the scatter plot.
  • No correlation
  • Very High negative correlation.

Quiz 2: Graded Quiz: Visualizing Composition of Data

Q1. In the pie chart of top 5 databases, respondents wish to learn next year, what is the percentage of Mongodb?

  • 19.1
  • 16.4
  • 18.8
  • 20.9

Q3. In the list of most popular languages respondents wish to learn next year, what is the rank of Python?

  • 2
  • 4
  • 1
  • 3

Q3. How many respondents indicated that they currently work with ‘SQL’?

  • 7106
  • 5132
  • 5012
  • 5321

Q4. How many respondents indicated that they work on ‘MySQL’ only?

  • 474
  • 657
  • 876
  • 736

Quiz 3: Graded Quiz: Visualizing Comparison of Data

Q1. Majority of the survey responders are

  • Developer – front-end
  • Developer – full-stack
  • Developer – mobile
  • Developer – back-end

Q2. Based on the Line Chart of Age and median ConvertedComp for the age group 25-30, what kind of correlation do you see between Age and median ConvertedComp?

  • Negative
  • No Correlation
  • Positive
  • Highly Negative
Get All Course Quiz Answers of Entrepreneurship Specialization

Entrepreneurship 1: Developing the Opportunity Quiz Answers

Entrepreneurship 2: Launching your Start-Up Quiz Answers

Entrepreneurship 3: Growth Strategies Coursera Quiz Answers

Entrepreneurship 4: Financing and Profitability Quiz Answers

Team Networking Funda
Team Networking Funda

We are Team Networking Funda, a group of passionate authors and networking enthusiasts committed to sharing our expertise and experiences in networking and team building. With backgrounds in Data Science, Information Technology, Health, and Business Marketing, we bring diverse perspectives and insights to help you navigate the challenges and opportunities of professional networking and teamwork.

Leave a Reply

Your email address will not be published. Required fields are marked *