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Course Description
Short Course | 24 hours | 2.4 CEUs | $2,695
In this hands-on, case study-based course, students learn to use data analysis, Machine Learning, and Neural networks. More specifically, students learn classification, regression, ensemble methods, clustering, dimension reduction, and how to apply all of these tools and skills to decision making and a successful project.
Course Outline
- Meeting 1: Classification
- Meeting 2: Regression
- Meeting 3: Ensemble Methods
- Meeting 4: Clustering, Dimension Reduction
- Meeting 5: Outliers, Introduction to Neural Networks
- Meeting 6: Project
Learner Outcomes
You will learn Python as well as machine learning and neural networks. You’ll utilize tools used by real data scientists like Numpy and Pandas, practice predictive modeling and model selection, and learn how to tell a compelling story with data to drive decision making.Additional Information
PYT530 is the third course in the Applied Data Science, Machine Learning, and Artificial Intelligence Using Python Certificate. To complete the certificate students will also enroll in PYT510, & PYT520. Click on each course link for more details and to add to cart.Prerequisites
- PYT520 or equivalent experience.
Duration
24 hours | 4 Days or 8 NightsApplies Towards the Following Certificates
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*Academic Unit eligibility to be determined by college/university in which you are enrolled in a degree seeking program.
*Academic Unit eligibility to be determined by college/university in which you are enrolled in a degree seeking program.