Lynda Data Science Foundations: Data Mining
English | Size: 655.62 MB (687,472,172 Bytes)
Category: CBTs
All data science begins with good data. Data mining is a framework for collecting, searching, and filtering raw data in a systematic matter, ensuring you have clean data from the start. It also helps you parse large data sets, and get at the most meaningful, useful information. This course, Data Science Foundations: Data Mining, is designed to provide a solid point of entry to all the tools, techniques, and tactical thinking behind data mining. Barton Poulson covers data sources and types, the languages and software used in data mining (including R and Python), and specific task-based lessons that help you practice the most common data-mining techniques: text mining, data clustering, association analysis, and more. This course is an absolute necessity for those interested in joining the data science workforce, and for those who need to obtain more experience in data mining.
Course syllabus for training of Lynda Data Science Foundations Data Mining:
– Prerequisites for Data Mining
– Data Mining using the R, Python, orange and RapidMiner
– Reduced
– Data clustering
– Anomaly Detection
– Analysis Forum
– Regression Analysis
– Extract sequence
– Extract text
Topics include:
– Prerequisites for data mining
– Data mining using R, Python, Orange, and RapidMiner
– Data reduction
– Data clustering
– Anomaly detection
– Association analysis
– Regression analysis
– Sequence mining
– Text mining
Specifications
Manufacturer: Linda / Lynda
Language of instruction: English
Tutor: Barton Poulson
Level: Beginner
Learning time: 4h 23m
File size: 615 MB
DOWNLOAD:
http://nitroflare.com/view/F2C51D075551B18/Lynda_Data_Science_Foundation_-_Data_Mining.rar
If any links die or problem unrar, send request to http://goo.gl/aUHSZc
Leave a Reply