Course Overview
Professional Certificate in
Data Science
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Minimum requirements:
Some knowledge of Mathematics and Personal computer as a user.
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This is a 2-year program.
After successful graduation from this Program, students should be able to work as Junior data analyst, data manager or QA tester
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What you will learn
01
PROFESSIONAL Qualification
The demand for skilled data science practitioners in industry, academia, and government is rapidly growing.
The Data Science program prepares you with the necessary knowledge base and useful skills to tackle real-world data analysis challenges.
The program covers concepts such as probability, inference, regression, and machine learning and helps you develop an essential skill set that includes R programming, data wrangling with dplyr, data visualization with ggplot2, file organization with Unix/Linux, version control with git and GitHub, and reproducible document preparation with RStudio.
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In each course, we use motivating case studies, ask specific questions, and learn by answering these through data analysis.
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Throughout the program, we will be using the R software environment. You will learn R, statistical concepts, and data analysis techniques simultaneously. We believe that you can better retain R knowledge when you learn how to solve a specific problem.
02
business English
This intermediate-level Business English programme contains 20 lessons focusing on essential vocabulary and useful phrases and expressions for the workplace.
English for Business includes:
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Business English basics
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Business English essentials
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English for meetings
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​Business communication skills
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