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  • Learn what data science is, the various activities of a data scientist’s job, and methodology to think and work like a data scientist
  • Develop hands-on skills using the tools, languages, and libraries used by professional data scientists
  • Import and clean data sets, analyze and visualize data, and build and evaluate machine learning models and pipelines using Python
  • Apply various data science skills, techniques, and tools to complete a project and publish a report
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