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Databricks Certified Professional Data Scientist

  • Tuition USD $200
  • Reviews star_rate star_rate star_rate star_rate star_half 2006 Ratings
  • Course Code EX-PRO-DS
  • Available Formats Exam Voucher

The Databricks Certified Professional Data Scientist certification exam assesses the understanding of the basics of machine learning and the steps in the machine learning lifecycle, including data preparation, feature engineering, the training of models, model selection, interpreting models, and the production of models. The exam also assesses the understanding of basic machine learning algorithms and techniques, including linear regression, logistic regression, regularization, decision trees, tree-based ensembles, basic clustering algorithms, and matrix factorization techniques. The basics of model management with MLflow, like logging and model organization, are also assessed.

Prerequisites

The minimally qualified candidate should have:

  • a complete understanding of the basics of machine learning, including:
  • bias-variance tradeoff
  • in-sample vs. out-of sample data
  • categories of machine learning
  • applied statistics concepts
  • a intermediate understanding of the steps in the machine learning lifecycle, including:
  • data preparation
  • feature engineering
  • model training, selection, and production
  • interpreting models
  • a complete understanding of basic machine learning algorithms and techniques, including:
  • linear, logistic, and regularized regression
  • tree-based models like decision trees, random forest and gradient boosted trees
  • unsupervised techniniques like K-means and PCA
  • specific algorithms like ALS for recommendation and isolation forests for outlier detection
  • a complete understanding of the basics of machine learning model management like logging and model organization with MLflow

Course Details

Preparation

The following Databricks courses should help you prepare for this exam

  • Scalable Machine Learning with Apache Spark (instructor-led course)
  • Machine Learning in Production: MLflow and Model Deployment (instructor-led course)

Learning Path

This certification is part of the Data Scientist learning path.

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.

The course materials are outstanding and the instructor was friendly, focused and had command of the course.

The courses are very in-depth and useful to get a good idea of everything and get going from there.

The instructor was proficient in his subject and overall, it was presented well

I thought the material was well-paced and organized, and the instructor made himself available for additional questions and context. Provided real-world examples of underlying concepts

Really nice and helpful staff! Office has well thought out interior design and plenty of snacks and drinks and coffee.

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