Course Details
Topic 1: Getting Started with RapidMiner Studio
- Overview of RapidMiner Studio
- ETL with Turbo Prep
Topic 2: Predictive Analytics
- Predictive Analytics for Classification
- Performance Analysis
- Predictive Analytics for Regression
Topic 3: Clustering Analytics
- Predictive Analytics for Clustering
- Outliner Analsysi
Topic 4: Auto ML
- Overview of Auto ML
- Auto ML Steps
Course Info
Promotion Code
Your will get 10% discount voucher for 2nd course onwards if you write us a Google review.
Minimum Entry Requirement
Knowledge and Skills
- Able to operate using computer functions
- Minimum 3 GCE ‘O’ Levels Passes including English or WPL Level 5 (Average of Reading, Listening, Speaking & Writing Scores)
Attitude
- Positive Learning Attitude
- Enthusiastic Learner
Experience
- Minimum of 1 year of working experience.
Target Age Group: 18-65 years old
Minimum Software/Hardware Requirement
Software:
TBD
Hardware: Window or Mac Laptops
Job Roles
- Data Scientists
- Data Analytsts
- Finance Analysts
- Marketers
Trainers
Dwight Nuwan Fonseka: Dwight Nuwan Fonseka is a ACLP certified trainer. He have a degree in Biotechnology from NUS, Advanced diploma in Pharmaceutical management from MDIS and Masters in Education from NTU. He have 8 years experience of teaching biology at O and A levels/ IB level in international schools in Singapore and overseas.
Kannan Gopal : Kannan Gopal has a Masters in Computer Applications with over 20 years of experience in creating, delivering and supporting, products, projects and program in the area of enterprise data ops and analytics. Lately he has been involved in the creation of the digital banking app and working on IoT to create smart organizations. His expertise is in using data tools for analysis and visualization to solve challenges in organizations that rely on data for strategic and tactical decisions. He has experience in Design Thinking (HCD- human centered design) techniques and in leading organizations in the quest of digital transformation with data as its core for decisions and information.
Through his career, he has also developed teams and trained / coached many consultants and developers on SAP BI and related products and worked extensively in Europe and Asia. Through his career, he has developed solutions in the area of data modeling, data analysis and analytics – application of tools and process for solving customer issues. While at SAP, his team has won numerous patents for developing and applying data mining methods to enterprise management systems.
His keen interest lies in sharing and collaborating with people on new technologies and to create best practices in the area of analytics.
Customer Reviews (3)
- will recommend Review by Course Participant/Trainee
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1. Do you find the course meet your expectation? 2. Do you find the trainer knowledgeable in this subject? 3. How do you find the training environment - wil recommend Review by Course Participant/Trainee
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1. Do you find the course meet your expectation? 2. Do you find the trainer knowledgeable in this subject? 3. How do you find the training environment - Will Recommend Review by Course Participant/Trainee
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1. Do you find the course meet your expectation? 2. Do you find the trainer knowledgeable in this subject? 3. How do you find the training environment