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Sequential data

representation and analysis

This class covers modern approaches to analysis of sequential data. This includes analysis of biological data as well as techniques to handle data that is too big to store in the memory and had to be processed on the fly. The main goal of the class is to expose students to novel techniques in sequence analysis and help them develope skills to use this techniques in practice. The class aims to bring students to the point where they understand current state of sequence analysis and are ready to do a deeper dive into any particular are they are interested in: big dataanalysis, text analysis, sound analysis, machine learning on big data or bioinformatics.

What you'll learn

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machine learning edx sequence analysis sequence analysis modern sequence analysis edx sequence analysis

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Develops skills and techniques in sequence analysis, which are foundational in bioinformatics and related fields

Led by experts in the field, who have a passion for teaching as well as performing frontier research in sequence analysis

Provides an excellent foundation for learners interested in pursuing careers in bioinformatics or other fields that leverage sequence analysis

May require learners to have prior experience or background in computer science or statistics to fully grasp some concepts

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Activities

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Career center

Learners who complete Sequential data: representation and analysis will develop knowledge and skills that may be useful to these careers:

Bioinformatics Scientist

A Bioinformatics Scientist combines their knowledge of biology and computer science to use computational tools to study biological data, including DNA and proteins. This frequently involves analyzing large datasets, including sequential data. This course would help build the foundation for this work, especially the analysis of biological data. It would help a student seeking to enter this field understand current state of the art in this field.

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Data Analyst

Data Analysts help businesses and organizations make better decisions by analyzing and interpreting data. Increasingly, this data is large and sequential in nature. This course would help build a foundation for this work, especially the analysis of large datasets. It would help a student seeking to enter this field understand current state of the art in this field.

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Data Engineer

Data Engineers build and maintain the infrastructure and systems that allow businesses and organizations to store, process, and analyze data. Increasingly, this data is large and sequential in nature. This course would help build a foundation for this work, especially the analysis of large datasets. It would help a student seeking to enter this field understand current state of the art in this field.

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Data Scientist

Data Scientists use data to solve business problems and create new opportunities. Increasingly, this data is large and sequential in nature. This course would help build a foundation for this work, especially the analysis of large datasets. It would help a student seeking to enter this field understand current state of the art in this field.

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Machine Learning Engineer

Machine Learning Engineers build and maintain the systems that allow businesses and organizations to use machine learning to solve problems and create new opportunities. Increasingly, this data is large and sequential in nature. This course would help build a foundation for this work, especially the analysis of large datasets. It would help a student seeking to enter this field understand current state of the art in this field.

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Quantitative Analyst

Quantitative Analysts use mathematics and statistics to solve problems in the financial industry. Increasingly, this data is large and sequential in nature. This course would help build a foundation for this work, especially the analysis of large datasets. It would help a student seeking to enter this field understand current state of the art in this field.

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Research Scientist

Research Scientists conduct research in a variety of fields, including biology, computer science, and engineering. Increasingly, this research involves the analysis of large and sequential datasets. This course would help build a foundation for this work, especially the analysis of large datasets. It would help a student seeking to enter this field understand current state of the art in this field.

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Software Engineer

Software Engineers design, develop, and maintain software systems. Increasingly, these systems are used to analyze large and sequential datasets. This course would help build a foundation for this work, especially the analysis of large datasets. It would help a student seeking to enter this field understand current state of the art in this field.

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Statistician

Statisticians use mathematics and statistics to collect, analyze, and interpret data. Increasingly, this data is large and sequential in nature. This course would help build a foundation for this work, especially the analysis of large datasets. It would help a student seeking to enter this field understand current state of the art in this field.

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Text Analyst

Text Analysts use natural language processing to analyze text data. Increasingly, this data is large and sequential in nature. This course would help build a foundation for this work, especially the analysis of large datasets. It would help a student seeking to enter this field understand current state of the art in this field.

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Computational Linguist

Computational Linguists use computer science and linguistics to analyze language. Increasingly, this data is large and sequential in nature. This course would help build a foundation for this work, especially the analysis of large datasets. It would help a student seeking to enter this field understand current state of the art in this field.

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Natural Language Processing Engineer

Natural Language Processing Engineers build and maintain the systems that allow businesses and organizations to use natural language processing to solve problems and create new opportunities. Increasingly, this data is large and sequential in nature. This course would help build a foundation for this work, especially the analysis of large datasets. It would help a student seeking to enter this field understand current state of the art in this field.

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Speech Recognition Engineer

Speech Recognition Engineers build and maintain the systems that allow businesses and organizations to use speech recognition to solve problems and create new opportunities. Increasingly, this data is large and sequential in nature. This course would help build a foundation for this work, especially the analysis of large datasets. It would help a student seeking to enter this field understand current state of the art in this field.

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Sound Engineer

Sound Engineers design, develop, and maintain sound systems. Increasingly, these systems are used to analyze large and sequential datasets. This course would help build a foundation for this work, especially the analysis of large datasets. It would help a student seeking to enter this field understand current state of the art in this field.

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Musician

Musicians create and perform music. Increasingly, musicians are using technology to create and analyze music. This course would help build a foundation for this work, especially the analysis of large datasets. It would help a student seeking to enter this field understand current state of the art in this field.

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