This Series is exclusively designed for Professionals, who are not Data Scientists but need to make use of Data Science to solve everyday challenges.
This Series is hosted in 3-hour sessions, each containing 2 x 1.5-hour lessons.
Although Sessions contain stand-alone topics, which can be done separately, we recommend doing the sessions as a Series (not compulsory).
Session 1: Introduction to Predictive Analytics with Use Cases (3 Hours)
Session 2: Predictive Analytics – Unsupervised Learning (Clustering & PCA) (3 Hours)
Session 3: Predictive Analytics – Supervised Learning (Multiple Linear/Non-Linear Regression) (3 Hours)
Session 4: Predictive Analytics – Supervised Learning (Regression Trees) (3 Hours)
Session 5: Predictive Analytics – Supervised Learning (Classification Trees) (3 Hours)
Session 6: Predictive Analytics - Supervised Learning (Time Series – Neural Networks) & Model Deployment (3 Hours)
Six Sessions, 18 hours total:
10:00 – 11:30 Lesson(s)
11:30 – 12:00 Break
12:00 - 13:30 Lesson(s)
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