The document provides a detailed overview of a course for the student 'dom.fernandez', outlining modules on various data science tools including Data Scientist Workbench, Jupyter Notebooks, Zeppelin Notebooks, RStudio IDE, and Seahorse. Each module includes learning objectives, video durations, and scores from review questions, with final exam results showing a score of 93%. The student has the option to request their certificate or continue working for a higher grade.

1. Courseware Course Info Discussion Wiki Resources Progress
Course Progress for Student 'Dom.Fernandez'
(dscf.279@gmail.com)
Your certificate is available
You can keep working for a higher grade, or request your certificate now. View Certificate
About this
course
General Information
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Learning Objectives
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Syllabus
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Grading Scheme
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Certificate and Badge Information
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RQ01
RQ02
RQ03
RQ04
RQ05
RQ
Avg
Final
Total
100%
0%
Pass 60%
93%

2. Course materials download instructions
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Change Log
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Copyrights and Trademarks
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Module 1 -
Introducing
Data
Scientist
Workbench
Learning Objectives
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What is Data Scientist Workbench? (3:46)
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DSWB Account features (4:45)
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Creating a DSWB account (1:10)
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Managing data within My Data (3:29)
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Preparing data with OpenRefine (2:04)
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Lab
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Review Questions (3/3) 100%
Review Questions
Problem Scores: 1/1 1/1 1/1
Module 2 -
Introducing
Learning Objectives
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3. Introducing
Jupyter
Notebooks
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What are Jupyter Notebooks? (2:22)
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Getting started with Jupyter (4:30)
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Data and Notebooks in Jupyter (3:07)
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Sharing your Jupyter Notebooks and data (2:35)
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Apache Spark in Jupyter Notebooks (2:01)
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Lab
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Review Questions (2/3) 67%
Review Questions
Problem Scores: 0/1 1/1 1/1
Module 3 -
Introducing
Zeppelin
Notebooks
Learning Objectives
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What are Zeppelin Notebooks? (2:33)
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Zeppelin for Scala (3:03)
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Getting started with Zeppelin (5:37)
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Managing your Interpreters in Zeppelin (2:52)
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Apache Spark in Zeppelin Notebooks (2:57)
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Lab
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Review Questions (3/3) 100%
Review Questions
Problem Scores: 1/1 1/1 1/1
Module 4 -
Introducing
RStudio IDE
Learning Objectives
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What is RStudio IDE? (1:45)
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Uploading files, Installing packages and loading libraries in
RStudio IDE (3:10)
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Getting started with RStudio IDE (4:08)
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RStudio Environment and History (3:05)
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Apache Spark in RStudio IDE (4:18)
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Lab
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Review Questions (3/3) 100%
Review Questions
Problem Scores: 1/1 1/1 1/1

5. Module 5 -
Introducing
Seahorse
Learning Objectives
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What is Seahorse? (2:10)
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A Glimpse of Seahorse's Features (1:26)
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Getting started with Seahorse on DSWB (1:45)
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Creating and uploading Seahorse Workflows on DSWB (4:40)
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Exporting and Cloning the Seahorse Examples on DSWB (4:00)
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Lab
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Review Questions (3/3) 100%
Review Questions
Problem Scores: 1/1 1/1 1/1
Course
Summary
Course Summary (3:50)
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Final Exam Instructions
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Final Exam (14/15) 93%
Final Exam
Problem Scores: 1/1 1/1 1/1 1/1 1/1 0/1 1/1 1/1 1/1 1/1 1/1 1/1 1/1 1/1 1/1

6. Problem Scores: 1/1 1/1 1/1 1/1 1/1 0/1 1/1 1/1 1/1 1/1 1/1 1/1 1/1 1/1 1/1
Completion
Certificate
Completion Certificate
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