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sql for data science module 3 coding assignment

Module 3 Coding Assignment >> Week 3 >> SQL for Data Science

1. Question 1 All of the questions in this quiz refer to the open source Chinook Database. Please familiarize yourself with the ER diagram in order to familiarize yourself with the table and column names in order to write accurate queries and get the appropriate answers. Using a subquery, find the names of all the tracks for the album “Californication”. 1 Reset What is the title of the 8th track? 1 point Porcelain 2. Question 2 All of the questions in this quiz refer to the open source Chinook Database. Please familiarize yourself with the ER diagram in order to familiarize yourself with the table and column names in order to write accurate queries and get the appropriate answers. Find the total number of invoices for each customer along with the customer’s full name, city and email. 1 Reset After running the query described above, what is the email address of the 5th person, František Wichterlová? Enter the answer below (feel free to copy and paste). 1 point [email protected] 3. Question 3 All of the questions in this quiz refer to the open source Chinook Database. Please familiarize yourself with the ER diagram in order to familiarize yourself with the table and column names in order to write accurate queries and get the appropriate answers. Retrieve the track name, album, artistID, and trackID for all the albums. 1 Reset What is the song title of trackID 12 from the “For Those About to Rock We Salute You” album? Enter the answer below. 1 point Breaking The Rules 4. Question 4 All of the questions in this quiz refer to the open source Chinook Database. Please familiarize yourself with the ER diagram in order to familiarize yourself with the table and column names in order to write accurate queries and get the appropriate answers. Retrieve a list with the managers last name, and the last name of the employees who report to him or her. 1 Reset After running the query described above, who are the reports for the manager named Mitchell (select all that apply)? 1 point Edwards Callahan King Johnson Park 5. Question 5 All of the questions in this quiz refer to the open source Chinook Database. Please familiarize yourself with the ER diagram in order to familiarize yourself with the table and column names in order to write accurate queries and get the appropriate answers. Find the name and ID of the artists who do not have albums. 1 Reset After running the query described above, two of the records returned have the same last name. Enter that name below. 1 point Gilberto 6. Question 6 All of the questions in this quiz refer to the open source Chinook Database. Please familiarize yourself with the ER diagram in order to familiarize yourself with the table and column names in order to write accurate queries and get the appropriate answers. Use a UNION to create a list of all the employee’s and customer’s first names and last names ordered by the last name in descending order. 1 Reset After running the query described above, determine what is the last name of the 6th record? Enter it below. Remember to order things in descending order to be sure to get the correct answer. 1 point Taylor 7. Question 7 All of the questions in this quiz refer to the open source Chinook Database. Please familiarize yourself with the ER diagram in order to familiarize yourself with the table and column names in order to write accurate queries and get the appropriate answers. See if there are any customers who have a different city listed in their billing city versus their customer city. 1 Reset Indicate your answer below. 1 point No customers have a different city listed in their billing city versus customer city. 3 customers have a different city listed in their billing city versus customer city. 8 customers have a different city listed in their billing city versus customer city. 17 customers have a different city listed in their billing city versus customer city.

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  1. SQL for Data Science

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  4. SQL for Data Science

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  5. SQL for Data Science

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  9. sophiasagan/SQL_for_Data_Science

    Graded: Module 3 Quiz. Graded: Module 3 Coding Assignment. #WEEK 4. Modifying and Analyzing Data with SQL. In this module, you will be able to discuss how to modify strings by concatenating, trimming, changing the case, and using the substring function. You will be able to discuss the date and time strings specifically.

  10. Databases and SQL for Data Science with Python

    Accessing Databases using Python. Module 4 • 4 hours to complete. In this module you will learn the basic concepts of using Python to connect to databases. In a Jupyter Notebook, you will create tables, load data, query data using SQL magic and SQLite python library. You will also learn how to analyze data using Python.

  11. Module 3 Coding Assignment >> Week 3 >> SQL for Data Science

    Module 3 Coding Assignment >> Week 3 >> SQL for Data Science. 1. Question 1 All of the questions in this quiz refer to the open source Chinook Database. Please familiarize yourself with the ER diagram in order to familiarize yourself with the table and column names in order to write accurate queries and get the appropriate answers.

  12. SQL for Data Science

    Module 3 Coding Assignment ... You will also be able to apply fundamental principles when using SQL for data science. You'll be able to use tips and tricks to apply SQL in a data science context. What's included. 10 videos 3 readings 2 quizzes 1 peer review 1 discussion prompt.

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  16. Databases and SQL for Data Science with Python

    Accessing Databases using Python. Module 4 • 4 hours to complete. In this module you will learn the basic concepts of using Python to connect to databases. In a Jupyter Notebook, you will create tables, load data, query data using SQL magic and SQLite python library. You will also learn how to analyze data using Python.

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  20. SQL for Data Science with R

    The purpose of this course is to introduce relational database concepts and help you learn and apply foundational knowledge of the SQL and R languages. It is also intended to get you started with performing SQL access in a data science environment. The emphasis in this course is on hands-on and practical learning.