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Have you ever wanted to learn RapidMiner for data mining? This course is for you. This course is specially designed for you to quickly and easily gain all the fundamental skills of RapidMiner to do simple data mining, regardless of your background. We will covers:
- Getting Started
- Data Mining Process (CRISP)
- Loading Data
- Data Understanding: Descriptive Statistics
- Data Understanding: Data Visualization (basic plottings)
- Data Preparation: Basic Data Cleaning
- Modeling: Simple Prediction Modeling (Regressions, Naives Bayes, KNN)
- Evaluation (Confusion matrix)
The above course follows CRISP DM process.
You will need to bring your own laptop.
Location is in Singapore.
Course Costs: $240 SGD (excluding GST)
You can get the course materials at:
You can pay the course fees of 240 sgd at the above link or pay me through cash.
You will receive 4 course Coupons to access the courses for FREE:
- Learn Microsoft Excel Basics Fast
- Learn Data Analysis using Microsoft Excel Basics Fast
- Data Mining with RapidMiner
- Introduction to Data and Text Mining with DSTK 3 (FREE)
After completing the 4 courses, you will earn 4 Udemy Certificates. After passing the exams, you will receive SVBook Advanced Certificate in Data Science (cost 70 usd, but free in this course) .
Eric Goh is a data scientist, software engineer, adjunct faculty and entrepreneur with years of experiences in multiple industries. His varied career includes data science, data and text mining, natural language processing, machine learning, intelligent system development, and engineering product design. He founded SVBook and extended it with DSTK.Tech and EMHAcademy. DSTK.Tech is where Eric develops his own DSTK data science softwares. Eric also publishes "Learn R for Applied Statistics" at Apress, and published 5 books at LeanPub and SVBook. He teaches the content at Udemy and EMHAcademy. During his free time, Eric is also an adjunct faculty at Universities and Institutions.
Eric Goh has been leading his teams for various industrial projects, including the advanced product code classification system project which automates Singapore Custom’s trade facilitation process, and Nanyang Technological University's data science projects where he develop his own DSTK data science software. He has years of experience in C#, Java, C/C++, SPSS Statistics and Modeller, SAS Enterprise Miner, R, Python, Excel, Excel VBA and etc. He won Tan Kah Kee Young Inventors' Merit Award and Shortlisted Entry for TelR Data Mining Challenge.
He holds a Masters of Technology degree from the National University of Singapore, an Executive MBA degree from U21Global (currently GlobalNxt) and IGNOU, a Graduate Diploma in Mechatronics from A*STAR SIMTech (a national research institute located in Nanyang Technological University), Coursera Specialization Certificate in Business Statistics and Analysis (Excel) from Rice University, IBM Data Science Professional Certificate (Python, SQL), and Coursera Verified Certificate in R Programming from Johns Hopkins University. He possessed a Bachelor of Science degree in Computing from the University of Portsmouth after National Service, and hold University Teaching Certificate from Hong Kong University and Coursera. He is also a AIIM Certified Business Process Management Master (BPMM), GSTF certified Big Data Science Analyst (CBDSA), and IES Certified Lecturer.
Specialties: Data Science, Text Mining, Social Network Analysis, Natural Language Processing, Machine Learning, Software Engineering, Mechatronics, Business.