Course content: https://rpubs.com/chidungkt/1224950
Instructor: Nguyễn Chí Dũng, Data Scientist at Funtap Vietnam, author of Applied Econometrics with R, with over 10 years of experience in the Data Science field.
Approach: Focused on hands-on practice through case studies using real-world datasets. In addition, after each session, there will be a small tea break to encourage discussion and networking between students and the instructor.
Target audience:
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Students, lecturers, and researchers in healthcare, economics, finance, and social sciences
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Project officers, economic analysts, financial analysts, business analysts, and related professionals
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PhD candidates and researchers in economics, healthcare, finance, and social sciences
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Anyone who needs to use R for data analysis
Course schedule: 4 sessions
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November 3, 2024 (Sunday)
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November 10, 2024 (Sunday)
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November 17, 2024 (Sunday)
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November 24, 2024 (Sunday)
Class time: 8:30 AM – 12:30 PM (morning session); 1:30 PM – 5:30 PM (afternoon session)
Mode of study: In-person in Hanoi (DEPOCEN Office – 7A Tôn Thất Thiệp, Cửa Đông, Hoàn Kiếm, Hanoi) with a limited number of seats available for online attendance via Zoom.
Tuition fee: 4,000,000 VND. Payment is made via bank transfer (details will be provided to students along with the registration confirmation email).
Tuition discounts:
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5% discount for those who register and complete payment before October 18, 2024
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5% discount for group registrations of three or more participants
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10% discount for group registrations of three or more participants who complete payment before October 18, 2024
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10% discount for students referred by CASED alumni who complete payment before October 18, 2024
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10% discount for CASED alumni
Trần Đạt Tín – Học viên lớp Data Wrangling and Visualization with R 11/2021
I feel that the course provided me with a strong foundational knowledge to continue self-studying data processing and visualization in the future. As a mathematics student, the course has been very helpful for my studies in statistics and probability. In particular, the instructor provided excellent resources and materials for further self-learning after the course.