Yan Luo

Yan Luo, Ph.D., is a data scientist and developer at IBM Canada. Yan has been building innovative AI and cognitive applications in various areas such as mining software repositories, personalized health management, wireless networks, digital banking, etc. Yan received his Ph.D. in Machine Learning from the University of Western Ontario.

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Data Science with R - Capstone Project (Coursera)

Nov 1st 2021
Data Science with R - Capstone Project (Coursera)
Course Auditing
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In this capstone course, you will apply various data science skills and techniques that you have learned as part of the previous courses in the IBM Data Science with R Specialization or IBM Data Analytics with Excel and R Professional Certificate. For this project, you will assume the role [...]
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Introduction to R Programming for Data Science (Coursera)

Nov 1st 2021
Introduction to R Programming for Data Science (Coursera)
Course Auditing
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When working in the data science field you will definitely become acquainted with the R language and the role it plays in data analysis. This course introduces you to the basics of the R language such as data types, techniques for manipulation, and how to implement fundamental programming tasks. [...]
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Full Stack Cloud Development Capstone Project (Coursera)

Nov 1st 2021
Full Stack Cloud Development Capstone Project (Coursera)
Course Auditing
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In this project you will demonstrate the skills that you have mastered in cloud native application development. You will apply your new knowledge to a real-life challenge and use your expertise to develop a successful solution. The project provides you with an opportunity to solidify your full stack proficiency. [...]
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Nov 1st 2021
Course Auditing
32.00 EUR/month

ETL and Data Pipelines with Shell, Airflow and Kafka (Coursera)

Oct 25th 2021
ETL and Data Pipelines with Shell, Airflow and Kafka (Coursera)
Course Auditing
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After taking this course, you will be able to describe two different approaches to converting raw data into analytics-ready data. One approach is the Extract, Transform, Load (ETL) process. The other contrasting approach is the Extract, Load, and Transform (ELT) process. ETL processes apply to data warehouses and data [...]
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Developing Applications with SQL, Databases, and Django (Coursera)

The essentials of application development are accessing, processing, and presenting data. Data is stored in various databases, either on-premise or on the cloud, and developers will need to learn how to talk to them via programming languages. In this course, you will be introduced to some fundamental database concepts. [...]
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R Data Science Capstone Project (edX)

Self Paced
R Data Science Capstone Project (edX)
Course Auditing
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Apply various data analysis and visualization skills and techniques you have learned by taking on the role of a data scientist working with real-world data sets. In this capstone course, you will apply various data science skills and techniques that you have learned as part of the previous courses [...]
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R Programming Basics for Data Science (edX)

Self Paced
R Programming Basics for Data Science (edX)
Course Auditing
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This course introduces you to R language fundamentals and covers common data structures, programming techniques, and how to manipulate data all with the help of the R programming language. The R language plays a critical role in data analysis and a common programming language when working in the field [...]
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Full Stack Application Development Project (edX)

Self Paced
Full Stack Application Development Project (edX)
Course Auditing
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For this project you will apply your knowledge of front end and back end development gained from previous courses and build and deploy a full stack real-world web application on the cloud. Your project will showcase your understanding of the user experience and user interface design process, and your [...]
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