Read and Understand Science Grades 4-6 Emc 3305 Answer Key

All Weeks Tools for Data Scientific discipline Coursera Quiz Answers

Contents

• 1 All Weeks Tools for Data Science Coursera Quiz Answers
• ii Tools for Data Science Coursera Quiz Answers
  • 2.1 Do Quiz – Languages
  • 2.2 Exercise Quiz – Tools
  • 2.three Do Quiz – Packages, APIs, Data Sets, Models
  • ii.4 Graded Quiz
  • two.5 Practice Quiz – Jupyter Notebook
  • 2.6 Practice Quiz – RStudio IDE
  • ii.7 Practice Quiz – GitHub
  • 2.viii Graded Quiz
  • 2.9 Do Quiz – Watson Studio
  • 2.10 Practice Quiz – Other IBM Tools
  • 2.11 Graded Quiz
  • ii.12 Final Examination
    • 2.12.ane All Quiz Answers of multiple Specializations or Professional Certificates programs:

What are some of the most pop data science tools, how practise you use them, and what are their features? In this course, y'all'll learn about Jupyter Notebooks, JupyterLab, RStudio IDE, Git, GitHub, and Watson Studio.

You will learn near what each tool is used for, what programming languages they tin execute, their features, and their limitations. With the tools hosted in the cloud on Skills Network Labs, you will be able to test each tool and follow instructions to run simple code in Python, R, or Scala.

At the end of this Tools for Data Scientific discipline Coursera Course, yous volition create a final projection with a Jupyter Notebook on IBM Watson Studio and demonstrate your proficiency in preparing a notebook, writing Markdown, and sharing your work with your peers.

The course is interesting. It presents a big spectrum of tools. All the tools required for ML kick-starting were explained very clearly and it helped you a lot in building the understanding of what tools demand to exist learned in the field of ML and Data Scientific discipline.

Enroll on Coursera

Tools for Data Science Coursera Quiz Answers

Practice Quiz – Languages

Q1. Which of the post-obit statements is true?

• Keras, Scikit-Learn, Matplotlib, Pandas, and TensorFlow are all congenital with Python.
• fourscore% of data scientists worldwide employ Python.
• Python is the most popular language in information scientific discipline.
• Python is useful for AI, machine learning, spider web development, and IoT.
• All of the to a higher place

Q2. Which of the following are SQL databases? (Select all that employ.)

• MongoDB
• MariaDB
• MySQL
• PostgreSQL
• CouchDB
• Oracle

Q3. Which statements are true about Open Source and Gratis Software? (Select all that apply.)

• Complimentary Software and Open up Source tin be used interchangeably.
• Free Software can always be run, studied, modified and redistributed with or without changes.
• Most of Free Software licenses too qualify for Open up Source.
• Open Source Software tin can exist modified without sharing the modified source code depending on the Open Source license.

Q4. Is the following statement true or false: "R integrates well with other calculator languages similar C++, Coffee, C, .Cyberspace and Python."

• True
• False

Q5. Which of the following languages can be used for data science?

• Julia
• Java
• Javascript
• SQL
• R
• Scala
• All of the above

Q6. Which of the following is used to make Artificial intelligence and Machine Learning possible? (Select all that apply.)

• Oracle
• PyTorch
• TensorFlow.js
• Apache Spark
• GNU
• Caffe

Exercise Quiz – Tools

Q1. Which of the following are mutual tasks in data science?

• Data Management
• Model Monitoring and Assessment
• Data Integration and Transformation
• Model Building
• Data Visualization
• Model Deployment
• All of the above

Q2. Which of the following are data management tools? (Select all that apply.)

• GitHub
• MySQL
• PostgreSQL
• KubeFlow
• PixieDust

Q3. Which of the post-obit are Information Integration and Transformation tools? (Select all that apply.)

• Cassandra
• Apache Kafka
• Apache Nifi
• Apache AirFlow
• Ceph

Q4. Which statement about JupyterLab is correct?

• JuypterLab can run Python code just.
• JuypterLab can run R code but.
• JuypterLab tin run R and Python code simply.
• JuypterLab can run R and Python code in improver to other programming languages.

Q5. Which statement most RStudio is correct?

• RStudio is the primary choice for development in the R programming language.
• RStudio is the main option for spider web development.
• RStudio is the chief choice for evolution in the Python programming linguistic communication.

Q6. Which statements about IBM Watson Studio and OpenScale are right? (Select all that apply.)

• Watson Studio together with Watson OpenScale is a database management system.
• Watson Studio together with Watson OpenScale covers the complete development life bike for all data scientific discipline, machine learning and AI tasks.
• Watson Studio together with Watson OpenScale is available as a Deject offering also as a parcel running on top of Kubernetes/RedHat OpenShift in a local data center called IBM Cloud Pak for Information.

Practice Quiz – Packages, APIs, Data Sets, Models

Q1. Which scientific calculating library provides data structures and information analysis tools for Python?

• YumPies
• Seahorse
• Pandas
• TensorFlow

Q2. What does the acronym API stand for?

• Application Programming Interface
• Arithmetics Programming Interface
• Abstruse Programming Interface
• Abstract Python Interface

Q3. True or False: Open data is always distributed nether a Community Data License Agreement.

• Truthful
• False

Q4. Which of the following is not a type of Machine Learning?

• Supervised learning
• Supervised teaching
• Reinforcement learning
• Unsupervised learning

Q5. Which of the post-obit is Non a deep learning framework?

• TensorFlow
• PyTorch
• Tommy
• Keras

Q6. Fill in the blank: The MAX model-serving microservices expose a _________________ that applications use to consume a model.

• Scala API
• Java API
• Balance API
• Python API

Graded Quiz

Q1. Which are the 3 most used languages for data scientific discipline?

• R, Python, SQL

Q2. Which of these is a database query language?

• SQL

Q3. Is it possible to utilise machine learning within a web browser with Javascript?

• Yep

Q4. Which of these is not a auto learning or deep learning library for Python?

• NumPy

Q5. Comma Separated Values (CSV) is a commonly used format to store:

• Tabular information

Q6. Classification models can exist used to determine whether:

• All of the To a higher place

Q7. Generally speaking, which type of model is used to predict a numerical value, such as the potential sales cost of a used car?

• Regression model

Q8. Fill in the blank: ________________ is the heart of every arrangement.

• Information

Q9. What does the "BI" in BI Tools stand for?

• Concern intelligence

Exercise Quiz – Jupyter Notebook

Q1. Which of the following functions practice Jupyter Notebooks unify?

• All of the above

Q2. Which statement is true almost Jupyter Notebooks?

• Jupyter Notebooks are free and open source.

Q3. What is a Jupyter Notebook kernel?

• It is a wrapper running on the Jupyter server encapsulating the programming language interpreter.

Practice Quiz – RStudio IDE

Q1. Which of the following functions does RStudio unify? (Select all that use.)

• b. Editing and execution of source code.
• c. Brandish of the R Console.
• d. Visualization of plots.
• e. Visualization of data in table form.

Q2. Which statement is truthful most the R Studio IDE?

• RStudio is free and open source.

Q3. Which statement about R packages is correct?

• R currently supports more than 15,000 packages which can be installed to extend R's functionality.

Practice Quiz – GitHub

Q1. Which of the following statements are true?

• Git is a system for version control of source code
• Git is very useful for data science as well since data science often involves a lot of source lawmaking to be written and managed.

Q2. Which of the following statements about repositories are correct? (Select all that use.)

• The local repository is but accessible by myself.
• The staging is but attainable past myself.
• The remote repository is attainable by all contributors.

Q3. What is the all-time process for contributing a bugfix to a foreign repository?

• Fork the repository, update the fork and create a pull request.

Graded Quiz

Q1. Which are the 2 most used open-source tools for data science?

• RStudio
• Jupyter Notebooks/Jupyter Lab

Q2. What tool do near R developers use?

• RStudio

Q3. What tool do virtually Python developers employ?

• Jupyter Notebooks or JupyterLab

Q4. Truthful or faux? Jupyter Notebooks / JupyterLab support development in R.

• True

Q5. Which tool unifies documentation, source lawmaking, and data visualizations into a unmarried document?

• Jupyter Notebooks / JupyterLab

Q6. Which control is used to install packages in R?

• install.packages("package name")

Q7. Which of the following functions does RStudio provide?

• Editing and execution of R lawmaking.

Q8. True or False: The Jupyter Notebook kernel must exist installed on a local server.

• False

Q9. Which of the following statements about Jupyter Notebooks is right?

• Jupyter Notebooks support the Visualization of data in charts.

Q10. True or simulated? R studio supports development in Python.

• True

Exercise Quiz – Watson Studio

Q1. Make full in the blank: In Watson Studio, a ____________ is how yous organize your resources to achieve a particular goal. Resources can include data, collaborators, and analytic assets similar notebooks and models.

• project

Q2. Fill in the bare: It's a best practice to remove or supersede _____________ before publishing to GitHub.

• credentials

Q3. Which of the following practise yous demand to create in order to publish a notebook to your GitHub repository?

• Access token

Q4. Fill in the blank: If y'all'd like to schedule a notebook in Watson Studio to run at a different time y'all can create a(n) _____________.

• task

Q5. Fill up in the blank: On the environments tab you tin can define the _________________.
a. Runtime configuration for flow editor.

• All of the above

Q6. Fill in the bare: When sharing a read only version of a notebook, yous tin can choose to share __________________.

• All of the higher up

Q7. Fill in the bare: When working in a Jupyter Notebook, before returning to a project, it'south important to ________________________.

• Save your notebook

Q8. Fill in the blank: Before running a notebook, it's a best practice to ____________ to describe what the notebook does.

• Insert a cell at the top of the notebook

Q9. Fill up in the bare: In the _____________ tab you can define the hardware size and software configuration for the runtime associated with Watson Studio tools such as notebooks.

• environments

Q10. Fill in the blank: IBM Cloud uses ______________ as a manner for you to organize your account resources in customizable groupings and so that yous can quickly assign users access to more than than 1 resource at a time.

• Resource groups

Practice Quiz – Other IBM Tools

Q1. Which products (of those nosotros covered) allow you to build data pipelines using a graphical user interface and no coding?

• IBM SPSS Modeler and Modeler Flows in Watson Studio

Q2. Which features of Data Refinery help salvage hours and days of information grooming?

• All of the higher up

Q3. Watson Knowledge Catalog provides what functionality?

• Catalog data and ML avails, aid to find relevant assets, keep runway of asset lineage, enforce information governance

Q4. Fill in the blank: PMML, PFA, and ONNX are __________________.

• Opens standards for predictive model serialization, commutation, and deployment

Q5. Which node must exist used in Modeler flows before any modeling node?

• Blazon node

Q6. Fill in the blank: Auto Classification node can be used for data with ______________.

• A categorical target variable

Q7. Fill in the blank: Auto Numeric node can exist used for data with __________________.

• A continuous target variable

Q8. IBM SPSS Modeler evolved from which product?

• Clementine

Q9. Fill in the bare: IBM SPSS Statistics syntax can exist created using ___________.

• Graphical user interface the IBM SPSS statistics production or syntax editor

Q10. AutoAI provides which of the following services?

• Automatic finding of optimal data preparation steps model choice and hyperparameter optimization

Q11. OpenScale provides which of the post-obit services?

• Monitoring for fairness, bias, and model drift

Q12. Predictive Model Markup Linguistic communication (PMML) was created by which entity?

• The Data Mining Group

Graded Quiz

Q1. Which feature in Watson Studio helps to keep track of and detect relevant Automobile Learning avails?

• Watson Cognition Catalog

Q2. Data Refinery provides which of the following services?

• Visualize and prepare data.

Q3. How does Data Refinery help build repeatable Data Pipelines for workloads of almost any size?

• Create a scheduled job and employ a custom environment to run the information menstruation/pipeline on different workloads

Q4. Modeler flows in Watson Studio ever begin with which type of node?

• A data source node

Q5. IBM SPSS Modeler includes what kind of models?

• All of the above

Q6. What characteristic of IBM SPSS Statistics allows like shooting fish in a barrel saving and modifying of previous tasks?

• SPSS syntax

Q7. Open Neural Network eXchange (ONNX) was originally created for what models?

• Deep learning models

Final Test

My Jupyter Notebook on IBM Watson Studio

Thomas George Thomas

Data Scientist

I am interested in Data Science considering I would love to contribute towards affordable and quality healthcare in the future

The below should print 'Hello World'

impress("Hullo World!")

Hi World!

Tools for Data Science Coursera Class Review:

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All Quiz Answers of multiple Specializations or Professional Certificates programs:

Course i: What is Data Science?

Course ii: Tools for Data Science

Course three: Data Science Methodology

Course 4: Python for Information Scientific discipline, AI & Development

Class 5: Python Projection for Data Science

Class six: Databases and SQL for Data Scientific discipline with Python

Course 7: Data Assay with Python

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