Data Science Basic
Data Science Basic
This is a regular class (2 credit) that will teach you the fundamentals of data science. Some basic algorithms in Data Science, both supervised and unsupervised machine learning. The application using RapidMiner will also be used to introduce all the necessary steps in data science process.
✔ Basic Data Exploration ✔ Time Series Forecasting ✔ Association Analysis
✔ kNN and Decision Tree ✔ Anomaly Detection ✔ Clustering
✔ SVM and ANN ✔ Recommendation Engine ✔ Basic of Text Mining
Schedule
Lesson 1: Intro to Data Science
Lesson 2: Data Science Process
Lesson 3: Data Exploration
Lesson 4: Classification I
Lesson 5: Classification II
Lesson 6: Regression Method
Lesson 7: Association Analysis
Lesson 8: Clustering
Lesson 9: Text Mining
Lesson 10: Deep Learning
Lesson 11: Recommendation Engines
Lesson 12: Time Series Forecasting
Lesson 13: Anomaly Detection
Lesson 14: Feature Selection
Lesson 15: Evaluation Metrics
Assistant Professor
Samy Baladram