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Data Science without a Ph.D. Using IBM SPSS Modeler (v18.1.1) SPVC

  • Tuition USD $350
  • Reviews star_rate star_rate star_rate star_rate star_half 1552 Ratings
  • Course Code 0E018G-SPVC
  • Duration 1 day
  • Available Formats Self Paced
This course is available in other formats
Instructor-Led Classroom & Virtual
Data science without a Ph.D. Using IBM SPSS Modeler (v18.1.1) (0A018G)

This IBM Self-Paced Virtual Class (SPVC) includes:
- PDF course guide available to attendee during and after course
- Lab environment where students can work through demonstrations and exercises at their own pace

Contains PDF course guide, as well as a lab environment where students can work through demonstrations and exercises at their own pace.

This course focuses on reviewing concepts of data science, where participants will learn the stages of a data science project. Topics include using automated tools to prepare data for analysis, build models, evaluate models, and deploy models. To learn about these data science concepts and topics, participants will use IBM SPSS Modeler as a tool.

If you are enrolling in a Self Paced Virtual Classroom or Web Based Training course, before you enroll, please review the Self-Paced Virtual Classes and Web-Based Training Classes on our Terms and Conditions page, as well as the system requirements, to ensure that your system meets the minimum requirements for this course.

Skills Gained

Please refer to course overview

Who Can Benefit

- Business Analysts
- Data Scientists
- Participants who want to get started with data science

Prerequisites

- It is recommended that you have an understanding of your business data

Course Details

Course Outline

1:  Introduction to data science and IBM SPSS Modeler
    -   Explain the stages in a data-science project, using the CRISP-DM methodology
    -   Create IBM SPSS Modeler streams
    -   Build and apply a machine learning model
2:  Setting measurement levels
    -   Explain the concept of "field measurement level"
    -   Explain the consequences of incorrect measurement levels
    -   Modify a field's measurement level
3:  Exploring the data
    -   Audit the data
    -   Check for invalid values
    -   Take action for invalid values
    -   Impute missing values
    -   Replace outliers and extremes
4:  Using automated data preparation
    -   Automatically exclude low quality fields
    -   Automatically replace missing values
    -   Automatically replace outliers and extremes
5:  Partitioning the data
    -   Explain the rationale for partitioning the data
    -   Partition the data into a training set and testing set
6:  Selecting predictors
    -   Automatically select important predictors (features) to predict a target
    -   Explain the limitations of automatically selecting features
7:  Using automated modeling
    -   Find the best model for categorical targets
    -   Find the best model for continuous targets
    -   Explain what an ensemble model is
8:  Evaluating models
    -   Evaluate models for categorical targets
    -   Evaluate models for continuous targets
9:  Deploying models
    -   List two ways to deploy models
    -   Export scored data

When does class start/end?

Classes begin promptly at 9:00 am, and typically end at 5:00 pm.

Does the course schedule include a Lunchbreak?

Lunch is normally an hour long and begins at noon. Coffee, tea, hot chocolate and juice are available all day in the kitchen. Fruit, muffins and bagels are served each morning. There are numerous restaurants near each of our centers, and some popular ones are indicated on the Area Map in the Student Welcome Handbooks - these can be picked up in the lobby or requested from one of our ExitCertified staff.

How can someone reach me during class?

If someone should need to contact you while you are in class, please have them call the center telephone number and leave a message with the receptionist.

What languages are used to deliver training?

Most courses are conducted in English, unless otherwise specified. Some courses will have the word "FRENCH" marked in red beside the scheduled date(s) indicating the language of instruction.

What does GTR stand for?

GTR stands for Guaranteed to Run; if you see a course with this status, it means this event is confirmed to run. View our GTR page to see our full list of Guaranteed to Run courses.

Does ExitCertified deliver group training?

Yes, we provide training for groups, individuals and private on sites. View our group training page for more information.

Does ExitCertified deliver group training?

Yes, we provide training for groups, individuals, and private on sites. View our group training page for more information.

Good job coping with the "new" training, of having video learning in a group setting.

This was my second Tech Data course and I have been very satisficed with both of them.

Tech Data helped in gaining more information on the latest version of IIB.
Architectural changes, migration and administration.

Kudos to Manish, for driving session in interactive and productive manner.

I can only say Thank You for persisting - following up and getting me into this class. Well spent 20-25 hours

The instructor is very good and very accommodating and excellent in answering participant's questions.

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