Data Science: Process & Tools

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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 non-technical audience.

What You’ll Learn

  • Techniques for prediction using analytics and machine learning models
  • Basics of supervised and unsupervised learning, including classifier, regression and clustering models
  • Methods for using relational databases and “wrangling” structured vs. unstructured data

Get Hands-On Experience

  • Develop data science solutions for complex data sets in iterative steps
  • Use the Python language to load data, prepare data for analysis, compute summary statistics, create charts and execute functions
  • Query and filter complex data using SQL

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.