Abstract

In this seminar, you will learn how Data Analytics can turn large volumes of complex data into actionable information and improve design and decision-making processes.

Coursera Specialization_Practical Data Science-1

You will learn approaches and techniques available in MATLAB® to tackle these challenges, including:

Accessing, exploring, and analyzing data stored in files, the web, and data warehouses.
Tips for cleaning, visualizing, and combining complex multivariate data sets.
Prototyping, testing, and refining predictive models using machine learning methods.
Integrating and running analytics within enterprise business systems and interactive web applications.

About the Presenter

Loren Shure

Loren has worked at MathWorks for over 30 years. For the first 27 of these years, Loren co-authored several MathWorks products in addition to adding core functionality to MATLAB, including major contributions to the design of the MATLAB language. She is currently part of the Application Engineering team, enabling Loren to spend more time and energy working with customers.

For more than 10 years, traveling worldwide over half of each year, Loren delivers more than 150 technical, strategic, and vision-setting presentations yearly to audiences ranging from hands-on problem solvers through high-level executives.

Loren graduated from MIT with a B.Sc. in physics and has a Ph.D. in marine geophysics from the University of California, San Diego, Scripps Institution of Oceanography. She is a Senior Member of IEEE; and she is co-author on several patent inventions. Loren writes about MATLAB on her blog, The Art of MATLAB.

Abstract

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About the Presenter

Loren Shure

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