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Demand for Data science talent is exploding. Learn these essentials with experts from MIT and the industry, partnering with Microsoft to help develop your career as a data scientist. By the end of this course, you will know how to build and derive insights from data science and machine learning models. You will learn key concepts in data acquisition, preparation, exploration and visualization along with examples on how to build a cloud data science solution using Azure Machine Learning, R & Python.
Data Science is an essential skill for analyzing and deriving useful insights from data, big and small. McKinsey estimates that by 2018, a 500,000 strong workforce of data scientists will be needed in US alone. The resulting talent gap must be filled by a new generation of data scientists.
This course is organized into 5 weekly modules each concluding with a quiz. By achieving a passing grade in the final course assessment you will receive a certificate demonstrating that you have acquired data science skills and knowledge. Apart from answering your questions on the forum, faculty will host an office hour to address questions you may have while undertaking this course.
Get an ID verified certificate to demonstrate your data science knowledge and share on LinkedIn.
Syllabus
- The data science process
- Overview of data science theory
- Data acquisition, ingestion, sampling, quantization, cleaning and transformation
- Building data science workflows with Azure ML
- Data science tools including R, Python and SQL
- Data exploration and visualization
- Building and evaluating machine learning models
- Publishing machine learning models with the Azure ML
Instructors
- Dr. Steve Elston
- Cynthia Rudin
Content Designer
Microsoft Corporation is an American multinational technology company headquartered in Redmond, Washington, that develops, manufactures, licenses, supports and sells computer software, consumer electronics and personal computers and services. Its best known software products are the Microsoft Windows line of operating systems, Microsoft Office office suite, and Internet Explorer web browser.
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