pl1936-Big Data Fast Data mining platform RapidMiner data analysis

pl1936-Big Data Fast Data mining platform RapidMiner data analysis

Essay background: In a lot of times, many of the early friends will ask me: I am from other languages transferred to the development of the program, there are some basic information to learn from us, your frame feel too big, I hope to have a gradual tutorial or video to learn just fine. For learning difficulties do not know how to improve themselves can be added: 1225462853 to communicate to get help, access to learning materials.

pl1936-Big Data Fast Data mining platform RapidMiner data analysis

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Smelting number Chengjin Data course big Data fast data mining platform RapidMiner data analysis Data Mining video tutorial

Course Description:

As a discipline, data mining is largely transparent to the world. Most of the time we have never noticed it happening. But every time we make a store shopping card, use a credit card to shop or surf the web, we create data. This data is stored in large datasets on powerful computers owned by the companies we deal with every day. The patterns that exist within these datasets-indicate our interests, habits, and behaviours. Data mining allows people to find and interpret these patterns to help people make smarter decisions and better serve their customers.

This training is designed to introduce you to common concepts and practices in data mining. In addition to college students, the main target audience is a business expert who has no formal background or educational experience in computer science, with the hope of digging data, using information systems and technology to solve business problems. Although data mining incorporates application statistics, logic, AI, machine learning, and data management systems, you do not need a strong background in these areas to participate in this training to learn to use RapidMiner. While it would be helpful to have a primary university course in statistics and databases, this training explains the concepts and techniques that you need to know to successfully learn how to dig data.

RapidMiner formerly known as Yale, it is an open-source computing environment for data mining, machine learning, and business predictive analytics. According to a poll by Kdnuggets in 2013, the software is more notch above than the R language in terms of utilization. Because of its GUI features, it is suitable for beginners in data mining.

This course chapters around the actual mining and analysis of business needs, mining work commonly used in various algorithms used in the way, the process has been elaborated, each section of the required test data are also specially packaged for the reader to download and use.

Subject:

This course is suitable for already have a certain it foundation, but to the field of data mining is not yet known to further study. It would be better if you had basic skills in statistics and database. The same course applies to data analysts, IT system architects, and developers, and is designed to lead you through a simple and flexible mining model to discover the new knowledge hidden behind massive amounts of data.

Harvest Expectations:

The algorithm has certain understanding, has certain use RapidMiner tool solves the problem the ability, can skillfully use the RapidMiner to provide the typical mining algorithm to carry on the mining analysis.

Teaching Instructor:

TEKKEN, engaged in IT industry for more than more than 10 years, has extensive knowledge and experience in data analysis and mining field. We have extensive experience in product/project practice for data Cleansing conversion integration, data mining analysis, data visualization and other content. Developed a Flex Dashboard designer that integrates various dashboards, charts, and data mining components independently. Currently a data analysis mining company product director.

pl1936-Big Data Fast Data mining platform RapidMiner data analysis