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Data Science: Process & Tools


Course Details

This course can only be taken as part of the Certificate in Data Science.

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About this Course

Organizations making the transition to data-driven processes must employ the most effective methods to exploit their data assets. In this course, you’ll gain a broad overview of best practices and top software platforms used in the data science field. We’ll explore the core data science processes required to handle complex analytics problems. You’ll discover how to determine data requirements, query and integrate complex data, and build data science pipelines. Develop the skills to address business problems with data-driven recommendations that can be understood by a nontechnical audience.

What You’ll Learn

  • How to apply the data science process and methodology to your organization
  • How to formulate a question as a data science problem and present the results to stakeholders
  • Basics of supervised and unsupervised learning

Get Hands-On Experience

  • Use Python and Jupyter notebooks to load and explore structured and unstructured data and process data for machine learning
  • Clean data and perform feature engineering prior to machine learning using the pandas library
  • Train basic machine learning models for regression, classification and clustering

Program Overview

Complete the courses listed below to earn the certificate. You may be able to take individual courses without enrolling in the certificate program; check the course pages for details.

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