The Data Mining Specialization teaches data mining techniques for both structured data which conform to a clearly defined schema, and unstructured data which exist in the form of natural language text. Specific course topics include pattern discovery, clustering, text retrieval, text mining and analytics, and data visualization. The Capstone project task is to solve real-world data mining challenges using a restaurant review data set from Yelp. You can apply to the degree program either before or after you begin the Specialization.
About this course: The Capstone is the culminating project in the Digital Marketing Specialization. The corporate partner for the specialization is W.W. Grainger(http://www.grainger.com/) . They are the largest supplier of Maintenance, Repair and Operations (MRO) products. Millions of businesses and institutions worldwide rely on Grainger for pumps, motors, hand tools, janitorial supplies, fasteners and much more. In 2014, they had sales of US Dollar 9.96 Billion, and e-commerce accounts for about 35-40% of sales.
Data Science is a big deal these days! So it stands to reason that you might want to learn it because of its amazing potential and popularity in the technical market. But you don't need to spend thousands of dollars on getting a university degree to learn Data Science. It's even predicted that "armchair data scientists" who don't have any formal qualifications in Data Science but the skills to analyze data will become even more popular than "traditional data scientists". So you can easily learn the basics of Data Science from online courses and then build upon those basics by practice.
Photographs from 127 students from 39 different countries are now on display in Gallery 101 of Kresge Art Center through Friday, December 9. The photos represent the skills learned and work completed as part of a five-course specialization, Photography Basics and Beyond: From Smartphone to DSLR, offered online by Michigan State University through Coursera, an online education provider that partners with top universities and organizations around the world to offer massive open online courses (MOOCs). Department of Art, Art History and Design Professor Peter Glendinning along with veteran photo instructor and College of Music Associate Professor Mark Sullivan developed the five-course series. Since it first launched in February 2016, the series has been wildly successful with more than 60,000 enrollments and students from 191 different countries. "The learners, their goals, their abilities, their creative and expressive approaches, in short just about everything, are as varied as the 191 countries from which they have enrolled," Glendinning said.
Data Science: Statistics and Machine Learning Specialization This specialization continues and develops on the material from the Data Science: Foundations using R specialization. This specialization continues and develops on the material from the Data Science: Foundations using R specialization. It covers statistical inference, regression models, machine learning, and the development of data products. In the Capstone Project, you'll apply the skills learned by building a data product using real-world data. At completion, learners will have a portfolio demonstrating their mastery of the material.