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Feature Engineering and Data Preparation for Analytics

  • Tuition USD $2,475 GSA  $1,904.28
  • Reviews star_rate star_rate star_rate star_rate star_half 1963 Ratings
  • Course Code DMDP42
  • Duration 3 days
  • Available Formats Classroom
This course introduces programming techniques to craft and feature engineer meaningful inputs to improve predictive modeling performance. In addition, this course provides strategies to preemptively spot and avoid common pitfalls that compromise the integrity of the data being used to build a predictive model. This course relies heavily on SAS programming techniques to accomplish the desired objectives.

The self-study e-learning includes:

  • Annotatable course notes in PDF format.
  • Virtual Lab time to practice.

Skills Gained

  • Extract data from a relational data table structure.
  • Define population qualifications and create a target sample.
  • Use feature engineering techniques to transform transactional data into meaningful inputs into a predictive model.
  • Transform low-, mid-, and high-cardinality categorical input variables into meaningful predictive modeling inputs.
  • Use ZIP codes and latitude/longitude points to calculate great-circle distance, driving distance, and estimated driving time.
  • Use Bayes' theorem to estimate meaningful predictive modeling inputs, impute missing observations, and partition the target sample into training and validation data sets for honest assessment of the predictive model.

Who Can Benefit

  • Analysts, data scientists, and IT professionals looking to craft better inputs to improve predictive modeling performance


  • This course assumes some experience in both predictive modeling and SAS programming. Before attending this course, you should have:
  • Exposure to DATA step programming equivalent to the SAS® Programming 1: Essentials course.
  • Exposure to programming in SQL or the SQL procedure.
  • Exposure to querying data in PROC SQL and building and deploying a predictive model.
  • Familiarity with the analytical process of building predictive models and scoring new data.

Course Details

Extracting Relevant Data

  • Data difficulties.
  • Assessing available data.
  • Accessing available data.
  • Drawing a representative target sample.
  • Drawing an uncontaminated input sample.

Transforming Transaction and Event Data

  • Advantages and disadvantages of transactions data.
  • Common transaction structures.
  • Defining the time horizon.
  • Fixed and variable time horizon methods.
  • Implementing common transaction transformations.

Using Nonnumeric Data

  • Definitions and difficulties of nonnumeric data.
  • Miscoding and multicoding detection.
  • Controlling degrees of freedom.
  • Geocoding.

Managing Data Pathologies

  • Exploring input variable distributions.
  • Detecting data anomalies.
  • Creating custom exploratory tools for candidate input variables.
  • Missing value imputation.
  • Data partitioning.

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.

ExitCertified has well experienced and professional instructors that make their training sessions a remarkable one.

Content is consistent with the class you enroll in. Instructor was thorough and engaging.

Fantastic instructor, good overview of content and ability to answer questions

The course content and the delivery by the Instructor was good. I had a good learning experience with ExitCertified. Definitely recommend it to others.

Thank you for training on AWS development. Course was good and encouraging but labs need to be improved and provide more information and ask students to more work than provide solutions.

0 options available

There are currently no scheduled dates for this course. If you are interested in this course, request a course date with the links above. We can also contact you when the course is scheduled in your area.

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