Certified Data Science Practitioner (CDSP)

About this course

A five-day, hands-on path through the full data science workflow. You will frame business problems, extract, transform and load data, analyse it, design a machine learning approach, build classification, regression and clustering models and deliver a finished project, preparing for the CDSP certification.

What you'll learn

• Use data science principles to address business issues.
• Apply the extract, transform, and load (ETL) process to prepare datasets.
• Use multiple techniques to analyze data and extract valuable insights.
• Design a machine learning approach to address business issues.
• Train, tune, and evaluate classification models.
• Train, tune, and evaluate regression and forecasting models.
• Train, tune, and evaluate clustering models.
• Finalize a data science project by presenting models to an audience, putting models into production, and monitoring model performance.

Curriculum

Who it's for

Analysts, developers and data professionals building a vendor-neutral data science skill set.

Before you start

• To ensure your success in this course, you should have at least a high-level understanding of fundamental data science concepts, including, but not limited to: types of data, data science roles, the overall data science lifecycle, and the benefits and challenges of data science. You can obtain this level of knowledge by taking the CertNexus DSBIZ™ (Exam DSZ-110) course.

Prepares for