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Course Description

12 hours | 1.2 CEUs

This intensive training course provides theoretical and practical aspects of using Python in the realm of Data Science, Business Analytics, and Data Logistics.  The coverage of the related core concepts, terminology, and theory is provided as well.  This training course is supplemented by a variety of hands-on labs that help attendees reinforce their theoretical knowledge of the learned material.

Course Outline

  • Applied Data Science and Business Analytics
  • Common Data Science algorithms for supervised and unsupervised machine learning
  • NumPy, pandas, Matplotlib,  scikit-learn
  • Python REPLs
  • Jupyter notebooks
  • Data analytics life-cycle phases
  • Data repairing and normalizing
  • Data aggregation and grouping
  • Data visualization

Prerequisites

  • Participants should have a working knowledge of Python (or have the programming background and/or the ability to quickly pick up Python’s syntax) and be familiar with core statistical concepts (variance, correlation, etc.)

Duration

12 Hours | 2 Days or 4 Nights
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Thank you for your interest in this course. Unfortunately, the course you have selected is currently not open for enrollment. Please complete a Course Inquiry or call 314-977-3226 so that we may promptly notify you when enrollment opens.

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*Academic Unit eligibility to be determined by college/university in which you are enrolled in a degree seeking program.