Course Description
Short Course | 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.
PYT400 is the first course in the Python Programming Advanced Certificate. To complete the certificate students will also enroll in PYT550, & PYT600. Click on each course link for more details and to add to cart.
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*Academic Unit eligibility to be determined by college/university in which you are enrolled in a degree seeking program.