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Some Online Data Science Courses Worth Checking

@machinelearnbot

Students now can make important decisions. If you want to achieve career advancement, shift to another career, go on your own, pursue your dreams, or simply improve on your current state in life, Udemy can connect you to the best educators from any part of the globe. These educators will help you achieve your goals in the fastest possible way. Udemy has a lot of experts teaching different topics. Some of them come with credentials like professors in Ivy League Universities, Leaders of multi-national companies, Hollywood celebrities, authors of best-selling books and publications.


Some Online Data Science Courses Worth Checking

@machinelearnbot

Students now can make important decisions. If you want to achieve career advancement, shift to another career, go on your own, pursue your dreams, or simply improve on your current state in life, Udemy can connect you to the best educators from any part of the globe. These educators will help you achieve your goals in the fastest possible way. Udemy has a lot of experts teaching different topics. Some of them come with credentials like professors in Ivy League Universities, Leaders of multi-national companies, Hollywood celebrities, authors of best-selling books and publications.


Standardization and Specialization in Analytics, Data Science, and BI

@machinelearnbot

At OnlineEducation.com, we've spent the past year interviewing experts in the field of analytics, and researching online degree programs in analytics, particularly at the graduate level. Our research points to the beginnings of what may be standardization and specialization within the field. We are seeing evidence of a baseline graduate analytics curriculum that covers proficiencies in mathematics, statistics, computer science, IT systems, and organizational communications. We've also found programs that are tailored to specializations like data science (DS) and business intelligence (BI), as well as programs that offer specializations in areas like business and marketing analytics, government policy analytics, and healthcare analytics. Today's analytics programs integrate proficiencies from computer science/engineering, applied mathematics/statistics, and business communications into a core curriculum that typically also includes data mining and database fundamentals.


Data Mining Project Latest Data Mining Projects Topics & Ideas

#artificialintelligence

Note: You should complete all the other courses in this Specialization before beginning this course. This six-week long Project course of the Data Mining Specialization will allow you to apply the learned algorithms and techniques for data mining from the previous courses in the Specialization, including Pattern Discovery, Clustering, Text Retrieval, Text Mining, and Visualization, to solve interesting real-world data mining challenges. Specifically, you will work on a restaurant review data set from Yelp and use all the knowledge and skills you've learned from the previous courses to mine this data set to discover interesting and useful knowledge. The design of the Project emphasizes: 1) simulating the workflow of a data miner in a real job setting; 2) integrating different mining techniques covered in multiple individual courses; 3) experimenting with different ways to solve a problem to deepen your understanding of techniques; and 4) allowing you to propose and explore your own ideas creatively. The goal of the Project is to analyze and mine a large Yelp review data set to discover useful knowledge to help people make decisions in dining.


Data Mining Project Coursera

@machinelearnbot

About this course: Note: You should complete all the other courses in this Specialization before beginning this course. This six-week long Project course of the Data Mining Specialization will allow you to apply the learned algorithms and techniques for data mining from the previous courses in the Specialization, including Pattern Discovery, Clustering, Text Retrieval, Text Mining, and Visualization, to solve interesting real-world data mining challenges. Specifically, you will work on a restaurant review data set from Yelp and use all the knowledge and skills you've learned from the previous courses to mine this data set to discover interesting and useful knowledge. The design of the Project emphasizes: 1) simulating the workflow of a data miner in a real job setting; 2) integrating different mining techniques covered in multiple individual courses; 3) experimenting with different ways to solve a problem to deepen your understanding of techniques; and 4) allowing you to propose and explore your own ideas creatively. The goal of the Project is to analyze and mine a large Yelp review data set to discover useful knowledge to help people make decisions in dining.