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[특강안내] Practical Data Analytics and Machine Learni

작성일 2024-03-29

아래와 같이 하계방학기간 중 특강이 진행되오니, 관심있는 학생들의 많은 참여 바랍니다.

 

- 일시: 7/1(월) - 7/5(금), 오후 1시~4시

- 장소: 제2공학관 26511호

- Title: Practical Data Analytics and Machine Learning 

- Instructor: 이상태(John Yee), Ph.D., U.S. Federal Government 

 

The landscape of Data Analytics, Data Science, AI, and Machine Learning is undergoing a massive transformation towards practical, project-based experience equipped with hands-on skills.

 

Data Analytics is an instrumental and essential means in shaping the success of data modeling and analysis as well as moving up to the next level like AI/ML. At the heart of our commitment to Data Analytics lies the significance of providing practical knowledge and skillsets to those students who are interested in learning the Data Analytics for their study and career.

 

The purpose of this special lecture is to help students understand how Data Analytics is used in addressing real-world problems from a practical perspective.

 

While this lecture touches the entire data lifecycle management, including data collection, data storage and maintenance, data processing, data sharing and usage, and data deletion and archiving, it will primarily focus on the practical methods and techniques that are useful for conducting data analytics, such as, data reliability testing, file import and export, data cleanup, data manipulation, text analysis, and machine learning.

 

With decades of experiences in data modeling and analysis for private industry, public sector, and academia, the instructor will bring in real-world practices and skills for Data Analytics, which are hardly obtained from textbooks or online resources.

 

The lecture will also involve learning the knowledge and skills through hands-on coding exercises in R/Python.

 

Having prior coding experience in R/Python with basic statistics and/or operations research applications would be a plus but not a necessity. Students would need to bring their own notebooks installed with R/Python for the lecture for achieving effective learning experiences.