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Latest Submission Grade: 100% Question 1The manage stage of the data life cycle is when a business decides what kind of data it needs, how the data will be handled, and who will be responsible for it.
Question 2A data analyst has finished an analysis project that involved private company data. They erase the digital files in order to keep the information secure. This describes which stage of the data life cycle?
Question 3In the analyze phase of the data life cycle, what might a data analyst do? Select all that apply.
Question 4Describe how the data life cycle differs from data analysis.
Question 5A company takes insights provided by its data analytics team, validates them, and finalizes a strategy. They then implement a plan to solve the original business problem. This describes which step of the data analysis process?
Question 6Fill in the blank: Spreadsheets are _____ that can be used to store, organize, and sort data.
Question 7Fill in the blank: A formula is a set of instructions used to perform a specified calculation; whereas a function is _____.
Question 8Fill in the blank: A query is used to _____ information from a database. Select all that apply.
Question 9Structured query language (SQL) enables data analysts to communicate with a database.
Question 10The graphical representation of information helps stakeholders understand data insights. Formulas and functions make this possible.
Page 2You can’t perform that action at this time. You signed in with another tab or window. Reload to refresh your session. You signed out in another tab or window. Reload to refresh your session. 1) Fill in the blank: A business decides what kind of data it needs, how the data will be managed, and who will be responsible for it during the _____ stage of the data life cycle. Ans: Plan 2) The destroy stage of the data life cycle might involve which of the following actions? Select all that apply. Ans:
3) A data analyst uses a spreadsheet function to aggregate data. Then, they add a pivot table to show totals from least to greatest. This would happen during which stage of the data life cycle? Ans: Analyze 4) The data life cycle deals with the stages that data goes through; data analysis involves following a process to analyze data. Ans: True 5) What actions might a data analytics team take in the act phase of the data analysis process? Select all that apply. Ans:
6) What is the main difference between a formula and a function? Ans: A formula is a set of instructions used to perform a specified calculation; a function is a preset command that automatically performs a specified process 7) Fill in the blank: A query is used to _____ information from a database. Select all that apply. Ans: 8) Structured query language (SQL) enables data analysts to communicate with a database. Ans: True 9) A data analyst has finished an analysis project that involved private company data. They erase the digital files in order to keep the information secure. This describes which stage of the data life cycle? Ans: destroy 10) Data analysts use queries to request, retrieve, and update information within a database. Ans: True 11) Fill in the blank: The data life cycle has six stages, whereas data analysis has six _____. Ans: process steps 12) Fill in the blank: A function is a predefined operation, whereas a formula is _____. Ans: a set of instructions used to perform a specified calculation. 13) Fill in the blank: To request, retrieve, and update information in a database, data analysts use a ____. Ans: query 14) Fill in the blank: Structured query language (SQL) enables data analysts to _____ the information in a database. Select all that apply. Ans: This is the fourth course in the Google Data Analytics Certificate. These courses will equip you with the skills needed to apply to introductory-level data analyst jobs. In this course, you’ll continue to build your understanding of data analytics and the concepts and tools that data analysts use in their work. You’ll learn how to check and clean your data using spreadsheets and SQL as well as how to verify and report your data cleaning results. Current Google data analysts will continue to instruct and provide you with hands-on ways to accomplish common data analyst tasks with the best tools and resources. Enroll On Coursera Process Data from Dirty to Clean Week 01 Quiz AnswersPractice Quiz-1 AnswersL2 Maintaining data integrity:Q1. Which process do data analysts use to make data more organized and easier to read?
Q2. Fill in the blank: The degree to which data conforms to certain business rules or constraints determines the data’s _____.
Q3. Which of the following is an example of invalid data?
Practice Quiz-2 AnswersL3 Connect data to objectives:Q1. Fill in the blank: Data being used for analysis should align with _____ and help answer stakeholder questions.
Q2. Before analysis, a company collects data from countries that use different date formats. Which of the following updates would improve the data integrity?
Q3. When should data analysts think about modifying a business objective? Select all that apply.
Practice Quiz-3 AnswersL4 When to stop collecting data:Q1. What should an analyst do if they do not have the data needed to meet a business objective? Select all that apply.
Q2. Which of the following are limitations that might lead to insufficient data? Select all that apply.
Q3. How can a data analyst eliminate sampling bias of a population for a study about the most popular ice cream flavors?
Q4. A data analyst wants to find out how many people in Utah have swimming pools. It’s unlikely that they can survey every Utah resident. Instead, they survey enough people to be representative of the population. This describes what data analytics concept?
Practice Quiz-4 AnswersL5 Testing your data:Q1. A research team runs an experiment to determine if a new security system is more effective than the previous version. What type of results are required for the experiment to be statistically significant?
Q2. In order to have a high confidence level in a customer survey, what should the sample size accurately reflect?
Q3. A data analyst determines an appropriate sample size for a survey. They can check their work by making sure the confidence level percentage plus the margin of error percentage add up to 100%. Practice Quiz-5 AnswersQ1. Fill in the blank: Margin of error is the _____ amount that the sample results are expected to differ from those of the actual population.
Q2. In a survey about a new cleaning product, 75% of respondents report they would buy the product again. The margin of error for the survey is 5%. Based on the margin of error, what percentage range reflects the population’s true response?
Process Data from Dirty to Clean Weekly challenge 1 AnswersQ1. Which of the following conditions are necessary to ensure data integrity? Select all that apply.
Q2. What is one potential problem associated with data manipulation that analysts must be aware of?
Q3. A data analyst is given a dataset for analysis. It includes data about the total population of every country in the previous 20 years. Based on the available data, an analyst will be able to determine which country was the most populous from 2016 to 2017. Q4. A data analyst is given a dataset for analysis. June 2014 Invoices – Sheet1.csv Which of the following has duplicate data?
Q5. A data analyst is working on a project about the global supply chain. They have a dataset with lots of relevant data from Europe and Asia. However, they decide to generate new data that represents all continents. What type of insufficient data does this scenario describe?
Q6. A car manufacturer wants to learn more about the brand preferences of electric car owners. There are millions of electric car owners in the world. Who should the company survey?
Q7. Fill in the blank: Sampling bias in data collection happens when a sample isn’t representative of _____.
Q8. Which of the following processes helps ensure a close alignment of data and business objectives?
Process Data from Dirty to Clean Week 02 Quiz AnswersPractice Quiz-1 AnswersL2 Recognize clean vs. dirty data:Q1. Describe the difference between a null and a zero in a dataset.
Q2. What are the most common processes and procedures handled by data engineers? Select all that apply.
Q3. What are the most common processes and procedures handled by data warehousing specialists? Select all that apply.
Q4. A data analyst is cleaning a dataset. They want to confirm that exactly three characters are present in each cell of a certain spreadsheet column. Which tool can they use?
Practice Quiz-2 AnswersL3 Data cleaning techniques:Practice Quiz-3 AnswersL4 Cleaning data in spreadsheets:Process Data from Dirty to Clean Weekly challenge 2 AnswersQ1. Which of the following terms describe dirty data? Select all that apply.
Q2. Field length is a spreadsheet tool for determining if a field has been duplicated. Q3. A data analyst notices that the customer in row 2 shares the same Customer ID as the customer in row 6. What does this scenario describe? ABCDD
Q4. Fill in the blank: Conditional formatting is a spreadsheet tool that changes how _____ appear when values meet a specific condition.
Q5. A data analyst uses the SPLIT function to divide a text string around a specified character and put each fragment into a new, separate cell. What is the specified character separating each item called?
Q6. For a function to work properly, data analysts must follow each function’s predetermined structure. What is this structure called?
Q7. You are working with the following selection of a spreadsheet: AB
In order to extract the five-digit postal code from Burlington, MA, what is the correct function?
Q8. A data analyst in a human resources department is working with the following selection of a spreadsheet: ABCD
They want to create employee identification numbers (IDs) in column D. The IDs should include the year hired plus the last four digits of the employee’s Social Security Number (SS#). What function will create the ID 20093208 for the employee in row 5?
Q9. An analyst is cleaning a new dataset containing 500 rows. They want to make sure the data contained from cell B2 through cell B300 does not contain a number greater than 50. Which of the following COUNTIF function syntaxes could be used to answer this question? Select all that apply.
Q10. The V in VLOOKUP stands for what?
Q11. Fill in the blank: Data mapping is the process of _____ fields from one data source to another.
Q12. Describe the relationship between a primary key and a foreign key.
Process Data from Dirty to Clean Week 03 Quiz AnswersPractice Quiz-1 AnswersL2 More about SQL:Q1. Which of the following are benefits of using SQL? Select all that apply.
Q2. Which of the following tasks can data analysts do using both spreadsheets and SQL? Select all that apply.
Q3. SQL is a language used to communicate with databases. Like most languages, SQL has dialects. How should data analysts approach SQL dialects? Select all that apply.
Practice Quiz-2 AnswersL3 Learn basic SQL queries:Q1. Which of the following SQL functions can data analysts use to clean string variables? Select all that apply. Q2. You are working with a database of information about middle school students. The student_data table contains the name and eight-digit identification (ID) number for each student. The first four digits of each ID number correspond to the student’s graduation year. For example, 20267482 indicates the student will graduate in 2026. The identification number is stored as a string in the id_number column. How do you complete this query to return the name of all students who will graduate in 2026? SELECT name FROM student_data WHERE
Q3. A data analyst wants to confirm that all of the text strings in a table are the correct length. How would they complete the following query to return any routes greater than 10 characters long? SELECT route FROM US_roads_data WHERE
Process Data from Dirty to Clean Weekly challenge 3 AnswersQ1. Data analysts choose SQL for which of the following reasons? Select all that apply.
Q2. In which of the following situations would a data analyst use spreadsheets instead of SQL? Select all that apply.
Q3. A data analyst creates many new tables in their company’s database. When the project is complete, the analyst wants to remove the tables so they don’t clutter the database. What SQL commands can they use to delete the tables?
Q4. A data analyst is cleaning customer data for an online retail company. They are working with the following section of a database: The analyst wants to find out if the state data is consistent and if any text strings contain more than two characters. What is the correct SQL clause to use to find any text strings containing more than two characters?
Q5. Fill in the blank: The _____ function counts the number of characters a string contains. Q6. In SQL databases, what data type refers to a number that contains a decimal?
Q7. Fill in the blank: In SQL databases, the _____ function can be used to convert data from one datatype to another. Q8. Fill in the blank: The _____ function can be used to return non-null values in a list. Process Data from Dirty to Clean Week 04 Quiz AnswersPractice Quiz-1 AnswersL2 Manually cleaning data:Q1. Making sure data is properly verified is an important part of the data-cleaning process. Which of the following tasks are involved in this verification? Select all that apply.
Q2. An analyst has just finished cleaning a dataset. Before analysis, why might the analyst want to revisit the business problem? Select all that apply.
Q3. A data analyst is cleaning a dataset with inconsistent formats and repeated cases. They use the TRIM function to remove extra spaces from string variables. What other tools can they use for data cleaning? Select all that apply.
Practice Quiz-2 AnswersL3 Documenting cleaning results:Q1. Fill in the blank: While cleaning data, documentation is used to track _____. Select all that apply.
Q2. Why is it important for a data analyst to document the evolution of a dataset? Select all that apply.
Practice Quiz-3 AnswersL4 Documentation the cleaning process:Q1. Which of the following data errors can be eliminated by documenting the data-cleaning process? Select all that apply.
Q2. Documenting data-cleaning makes it possible to achieve what goals? Select all that apply.
Process Data from Dirty to Clean Weekly challenge 4 AnswersQ1. The data collected for an analysis project has just been cleaned. What are the next steps for a data analyst? Select all that apply.
Q2. A data analyst is in the verification step. They consider the business problem, the goal, and the data involved in their analytics project. What scenario does this describe?
Q3. Which function removes leading, trailing, and repeated spaces in data? Q4. A data analyst uses the COUNTA function to count which of the following?
Q5. A WHEN statement considers one or more conditions and returns a value as soon as that condition is met. Q6. What is the process of tracking changes, additions, deletions, and errors during data cleaning?
Q7. Fill in the blank: A changelog contains a _____ list of modifications made to a project.
Q8. Reviewing version history is an effective way to view a changelog in SQL. Process Data from Dirty to Clean Week 05 Quiz AnswersPractice Quiz-1 AnswersResume Template-1:View raw Resume Template-2:View raw Process Data from Dirty to Clean Course challenge AnswersScenario 1, questions 1-5Q1. You are a data analyst at a small analytics company. Your company is hosting a project kick-off meeting with a new client, Meer-Kitty Interior Design. The agenda includes reviewing their goals for the year, answering any questions, and discussing their available data. Meer-Kitty Interior Design About Us Page.pdf Meer-Kitty Interior Design Business Plan.pdf Meer-Kitty Interior Design has two goals. They want to expand their online audience, which means getting their company and brand known by as many people as possible. They also want to launch a line of high-quality indoor paint to be sold in-store and online. You decide to consider the data about indoor paint first. Kitty Survey Feedback – Meer-Kitty survey feedback.csv You are pleased to find that the available data is aligned to the business objective. However, you do some research about confidence level for this type of survey and learn that you need at least 120 unique responses for the survey results to be useful. Therefore, the dataset has two limitations: First, there are only 40 responses; second, a Meer-Kitty superfan, User 588, completed the survey 11 times. As the survey has too few responses and numerous duplicates that are skewing results, what are your options? Select all that apply.
Q2. During the meeting, you also learn that Meer-Kitty videos are hosted on their website. For each product offered, there is an accompanying video for customers to learn more. So, more views for a video suggests greater consumer interest. Your goal is to identify which videos are most popular, so Meer-Kitty knows what topics to explore in the future. Unfortunately, Meer-Kitty has just three months of data available because they only recently launched the videos on their site. Without enough data to identify long-term trends about the video subjects that people prefer, what should you do?
Q3. Now that you’ve identified some limitations with Meer-Kitty’s data, you want to communicate your concerns to stakeholders. In addition to insufficient video trend data, your main concern with the indoor paint survey is that the data isn’t representative of the population as a whole. Clearly, one particular respondent, the superfan, is overrepresented. This means the data doesn’t represent the population as a whole. When surveying people for Meer-Kitty in the future, what are some best practices you can use to address some of the issues associated with sampling bias? Select all that apply.
Q4. The stakeholders understand your concerns and agree to repeat the indoor paint survey. In a few weeks, you have a much better dataset with more than 150 responses and no duplicates. Kitty Survey Feedback – New Meer-Kitty survey feedback.csv You notice that questions 4 and 5 are dependent on the respondent’s answer to question 3. So, you need to determine how many people answered Yes to question 3, then compare that to responses to questions 4 and 5. That way, you will know if questions 4 and 5 have any nulls. You decide to use a spreadsheet tool that changes how cells appear when they contain the word Yes. Which tool do you use?
Q5. You continue cleaning the data. You use tools such as remove duplicates and COUNTIF to ensure the dataset is complete, correct, and relevant to the problem you’re trying to solve. Then, you complete the verification and reporting processes to share the details of your data-cleaning effort with your team. While reviewing, your team notes one aspect of data cleaning that would improve the dataset even more. They point out that the new survey also has a new question in Column G: “What are your favorite indoor paint colors?” This was a free-response question, so respondents typed in their answers. Some people included multiple different colors of paint. In order to determine which colors are most popular, it will be necessary to put each color in its own cell. What spreadsheet function enables you to put each of the colors in Column G into a new, separate cell? Scenario 2, questions 6-10Q6. You’ve completed this program and are interviewing for a junior data scientist position. The job is at B.Spoke Market Research, a company that analyzes market conditions using customer surveys and other research methods. The detailed job description can be found below: C4 B.Spoke Market Research Job Description.pdf So far, you’ve had a phone interview with a recruiter and you’ve secured a second interview with the B.Spoke team. The recruiter’s email can be found below: C4 S2 Email from Recruiter.pdf You arrive 15 minutes early for your interview. Soon, you are escorted into a conference room, where you meet Jodie Choi, the data science lead. After welcoming you, the behavioral interview begins. For your first question, your interviewer wants to learn about your experience with spreadsheets. She says: Sometimes the team needs data that is stored in different spreadsheets. So, we use a spreadsheet function to find the information we need. There is a spreadsheet function that searches for a value in the first column of a given range and returns the value of a specified cell in the row in which it is found. It is called SEARCH. Q7. Next, your interviewer wants to know more about your understanding of tools that work in both spreadsheets and SQL. She explains that the data her team receives from customer surveys sometimes has many duplicate entries. She says: Spreadsheets have a great tool for that called remove duplicates. In SQL, you can include DISTINCT to do the same thing. In which part of the SQL statement do you include DISTINCT?
Q8. Now, your interviewer explains that the data team usually works with very large amounts of customer survey data. After receiving the data, they import it into a SQL table. But sometimes, the new dataset imports incorrectly and they need to change the format. She asks: What function would you use to convert data in a SQL table from one datatype to another?
Q9. Next, your interviewer explains that one of their clients is an online retailer that needs to create product numbers for a vast inventory. Her team does this by combining the text strings for product number, manufacturing date, and color. She asks: Which SQL function would you use to add strings together to create new text strings?
Q10. For your final question, your interviewer explains that her team often comes across data with extra spaces. She asks: Which function would enable you to eliminate those extra spaces? You respond: To eliminate extra spaces for consistency, use the TRIM function. Next Course Quiz Answers >> Analyze Data to Answer Questions << Previous Course Quiz Answers Prepare Data for Exploration All Course Quiz Answers of Google Data Analytics Professional CertificateCourse 01: Foundations: Data, Data, Everywhere Course 02: Ask Questions to Make Data-Driven Decisions Course 03: Prepare Data for Exploration Course 04: Process Data from Dirty to Clean Course 05: Analyze Data to Answer Questions Course 06: Share Data Through the Art of Visualization Course 07: Data Analysis with R Programming Course 08: Google Data Analytics Capstone: Complete a Case Study Process Data from Dirty to Clean Coursera Course Review:In our experience, we suggest you enroll in the Process Data from Dirty to Clean Coursera Course and gain some new skills from Professionals completely free and we assure you will be worth it. Process Data from Dirty to Clean Coursera course is available on Coursera for free, if you are stuck anywhere between quiz or graded assessment quiz, just visit Networking Funda to get Process Data from Dirty to Clean Coursera Quiz Answers This Course is a part of the Google Data Analytics Professional Certificate Conclusion:I hope this Process Data from Dirty to Clean Coursera Quiz Answers would be useful for you to learn something new from this Course. If it helped you then don’t forget to bookmark our site for more Coursera Quiz Answers. This course is intended for audiences of all experiences who are interested in learning about Data Analytics in a business context; there are no prerequisite courses. Keep Learning! report this ad |