Big Data University

List courses that are in development

  • MI000EN (TEMPLATE for course MI001EN)

    <In this page, ensure the "Course full name" field above has the full course name INCLUDING the course code in parenthesis at the end.  This is used for our reports>

    Enter text as required.  Example below:>

    MI001EN (FREE course): Learn how to create and host a course in BigData or DB2 University!

    Send a e-mail to administrator@db2university.com with the title of the course, table of contents, and let us know if you will be offering it for free or for a cost. If it looks interesting, we will approve it and set you up to create your course!

    This course will teach you how to create the course, including the creation of videos, transcripts, live sessions, and more!  The course requires anenrollment key that will be provided when the course is approve for development.

    All topics are welcomed, not just Big Data or DB2-related!

    Self enrollmentSelf enrollment
  • MI000EN (TEMPLATE for course MI001EN)

    <In this page, ensure the "Course full name" field above has the full course name INCLUDING the course code in parenthesis at the end.  This is used for our reports>

    Enter text as required.  Example below:>

    MI001EN (FREE course): Learn how to create and host a course in BigData or DB2 University!

    Send a e-mail to administrator@db2university.com with the title of the course, table of contents, and let us know if you will be offering it for free or for a cost. If it looks interesting, we will approve it and set you up to create your course!

    This course will teach you how to create the course, including the creation of videos, transcripts, live sessions, and more!  The course requires anenrollment key that will be provided when the course is approve for development.

    All topics are welcomed, not just Big Data or DB2-related!

    Self enrollmentSelf enrollment
  • BD120EN (FREE course): Analyzing Big Data with a Concept IBM Watson and UIMA

    To be written...

    After completing this course, you should be able to:

    • Learn the concepts of how the IBM Watson uses several servers to complete its task.
    • Learn about the basic components of a conceptual Watson System
    • Understand the flow of how a question is understood, documents analyzed and answer given in this system
    • Learn about OpenNLP the Artificial Intelligence IBM Watson uses to understand a question
    • Learn about UIMA and how it can get data from an unstructured document
    • Learn how to write the Query Panel that will understand a Question and get the Answer

     

    Self enrollment
  • In the last two decades the world has seen an incredible shift in text media from print-based to web-based

    • Literature has been made increasingly available online through resources like Google Books, Project Gutenberg, etc.
    • News organizations have responded by providing online resources with real-time newsfeeds
    • Social Media has become ubiquitous and enables an unprecedented access to the thoughts and opinions of ordinary people

     

    • What does this mean for us as data scientists  – More data!
    • – More easily accessible data!
      – More opportunities for valuable analysis
    Self enrollment
  • MI000EN (TEMPLATE for course MI001EN)

    <In this page, ensure the "Course full name" field above has the full course name INCLUDING the course code in parenthesis at the end.  This is used for our reports>

    Enter text as required.  Example below:>

    MI001EN (FREE course): Learn how to create and host a course in BigData or DB2 University!

    Send a e-mail to administrator@db2university.com with the title of the course, table of contents, and let us know if you will be offering it for free or for a cost. If it looks interesting, we will approve it and set you up to create your course!

    This course will teach you how to create the course, including the creation of videos, transcripts, live sessions, and more!  The course requires anenrollment key that will be provided when the course is approve for development.

    All topics are welcomed, not just Big Data or DB2-related!

    Self enrollment
  • Exploratory data analysis is a critical step in understanding your data. In this meetup, we use Python to clean, explore, summarize, and visualize a dataset.

    Topics covered:

    • Cleaning data
    • Pandas Dataframes
    • Exploring data through scatterplots, histograms, bar graphs
    - See more at: http://bigdatauniversity.com/events/beginners-exploratory-data-analysis-in-python-hands-on/#sthash.Y64QFqWI.dpuf
    Self enrollmentSelf enrollment
  • MI000EN (TEMPLATE for course MI001EN)

    <In this page, ensure the "Course full name" field above has the full course name INCLUDING the course code in parenthesis at the end.  This is used for our reports>

    Enter text as required.  Example below:>

    MI001EN (FREE course): Learn how to create and host a course in BigData or DB2 University!

    Send a e-mail to administrator@db2university.com with the title of the course, table of contents, and let us know if you will be offering it for free or for a cost. If it looks interesting, we will approve it and set you up to create your course!

    This course will teach you how to create the course, including the creation of videos, transcripts, live sessions, and more!  The course requires anenrollment key that will be provided when the course is approve for development.

    All topics are welcomed, not just Big Data or DB2-related!

    Self enrollment
  • BD201EN (FREE course): Learn how to perform Data Analysis using R when your data is in a relational database.

    You will learn how to:

    • decide when to store data in a relational database for analysis with R
    • how to connect to relational databases from R
    • access data in DB2 with RJDBC
    • access data in DB2 and BLU Accleration for Cloud from R
    • reuse existing database assets like stored procedures

    Audience: Data Analysts, Programmers

    Available in: English

    Learn more!

    Self enrollment
  • BD500EN (FREE course): This course teaches you the basics of stream computing using IBM InfoSphere Streams. Stream computing allows you to process and analyze big data in real time. This type of computing can be applied in many industries, from health care to manufacturing, finance and more.

    Audience: Stream computing beginners.

    Available in: English

    Self enrollment
  • BD200EN (FREE course): This course teaches you how to work with query and scripting languages such as Hive, Pig, and Jaql. These query and scripting languages simplify the development of map-reduce programs in Hadoop for developers with no Java expertise. Emphasis will be on Jaql.

    Audience: Hadoop Beginners.

    Available in: English

    Self enrollment