Instruments for Information Science

About this Course

What are a number of the hottest information science instruments, how do you utilize them, and what are their options? On this course, you’ll find out about Jupyter Notebooks, JupyterLab, RStudio IDE, Git, GitHub, and Watson Studio. You’ll find out about what every instrument is used for, what programming languages they will execute, their options and limitations. With the instruments hosted within the cloud on Expertise Community Labs, it is possible for you to to check every instrument and observe directions to run easy code in Python, R or Scala. To finish the course, you’ll create a remaining mission with a Jupyter Pocket book on IBM Watson Studio and reveal your proficiency making ready a pocket book, writing Markdown, and sharing your work together with your friends.

This course is a part of a number of packages

This course will be utilized to a number of Specializations or Skilled Certificates packages. Finishing this course will rely in the direction of your studying in any of the next packages:

• IBM Information Science Skilled Certificates
• Information Science Fundamentals with Python and SQL Specialization

WHAT YOU WILL LEARN

• Describe the languages, instruments, and information utilized by information scientists, together with IBM instruments centered on information science.

• Describe the options of Jupyter Pocket book and RStudio IDE that make them widespread for information science initiatives.

• Create and handle supply code for information science in GitHub.

• Clarify how IBM Watson Studio and different IBM information science instruments can be utilized by information scientists.

SKILLS YOU WILL GAIN

• Information Science
• Github
• Python Programming
• Jupyter notebooks
• Rstudio

Syllabus – What you’ll be taught from this course

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WEEK

1

3 hours to finish

Information Scientist’s Toolkit

On this module, you’re going to get an outline of the programming languages generally used, together with Python, R, Scala, and SQL. You’ll be launched to the open supply and business information science instruments accessible. You’ll additionally be taught in regards to the packages, APIs, information units and fashions steadily utilized by Information Scientists.

WEEK

2

10 hours to finish

Open Supply Instruments

On this module, you’ll find out about three widespread instruments utilized in information science: GitHub, Jupyter Notebooks, and RStudio IDE. You’ll change into accustomed to the options of every instrument, and what makes these instruments so widespread amongst information scientists as we speak.

WEEK

3

5 hours to finish

IBM Instruments for Information Science

On this module, you’ll find out about an enterprise-ready information science platform by IBM, known as Watson Studio. You’ll find out about a number of the options and capabilities of what information scientists use within the business. You’ll additionally find out about different IBM instruments used to help information science initiatives, similar to IBM Watson Information Catalog, Information Refinery, and the SPSS Modeler.

WEEK

4

2 hours to finish

Remaining Project: Create and Share Your Jupyter Pocket book

On this module, you’ll reveal your expertise by creating and configuring a Jupyter Pocket book. As a part of your grade for this course, you’ll share your Jupyter Pocket book together with your friends for evaluation.