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DATA MINING AND ADVANCED STATISTICAL MODELING COURSE
DATA MINING AND ADVANCED STATISTICAL MODELING COURSE
This Data Mining and Advanced Statistical Modeling course will give students deep understanding of the methods in data mining and predictive analytics. It covers various advanced modeling procedures and applications. These procedures and applications include classification, prediction, exploration, association rules and time series forecasting. These procedures and applications are performed and illustrated with real data in analytics software such as SAS, Python. In addition, this advanced statistical modeling course, students are given hands-on, industry and business cases to enhance their understanding of statistical models. The learning outcome is to prepare students with practical experience in conducting real-world data analytics projects. Admission Requirements: Fundamentals of Statistics and SAS Programming or PythonTOPICS OF THE STATISTICAL MODELING COURSE
- Predictive Analytics
- Data Sampling, Target, Bivariate Analysis, Interaction and Transformation
- Data Exploration, Performance Checking and Univariate Analysis
- Linear Regression and Application
- Logistic Regression and Application
- Decision Tree and Application
- Developing Time Series Model and Application
- Developing Association Rules
- Discriminant Analysis for Classification Analytics
WHO SHOULD TAKE THIS COURSE?
Data analysts, financial analyst, marketing analyst, reporting analysts, data scientists, statisticians, computer programmers, students of data analytics, …WHO IS THE LEAD INSTRUCTOR OF THIS COURSE?
Mr. Palawat Supharerk is the instructor of this course. He has been a Data Science project practitioner for more than 10 years, has managed large-scale project in support of IBM Global Delivery Services and Ontario government initiatives. In addition he is a SAS Certified Base and Advanced Programmer. He has an MBA in Finance and additional credentials, including PMP and ITIL v3 Foundation. Now Mr. Supharerk is a part-time data science instructor at Metro College of Technology while serving as data scientist for the Government of Ontario. Credential: College certificate. Hours: 40 Location of course delivery: Toronto, Ontario, Canada
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