IBFIT16: DATA SCIENCE FUNDAMENTALS – MACHINE LEARNING USING R-P200312NUU
DATA SCIENCE FUNDAMENTALS – MACHINE LEARNING USING R-P200312NUU
Course Duration
Mode of Assessment
Multiple Choice Question and Practical Performance
Who Should Attend
This machine learning workshop can be attended by all people with programming background and non programming background. This workshop help participants to improve analytical skills related to problem solving to answer business questions. Machine learning does not only focus on coding or analytical methods, you will make predictions, sentiment analysis and pattern recognition as well
What's In It for Me
The course begins with a conceptual introduction to machine learning algorithms. This is followed by an introduction to the implementation and best practices for using machine learning. The rest of the course is focused around specific feature sources, and for each progresses through a short introductory lecture followed by three exercises of progressive difficulty, starting with standard and well-behaved cases, and ending with real-world and realistically problematic case studies. Throughout, the focus of the course is on building deep conceptual understanding, Learning by Building and practical quiz experience.
Course Overview
Machine learning on a very basic level, refers to a subfield of computer science that gives computer the ability to learn without being explicitly programmed
Next available schedule
Course Objectives
After completing this course, students will be able to:
- Description of the workflow, tools, setup and programming languages in the course
- R Programming Basic
- Statistics in exploratory data analysis
- Quick way to get a “sense” of the distribution of our dataset
- Linear Regression, Confidence intervals and Hypothesis Testing
Pre-requisites
Before attending this course, students must have:
- Basic knowledge of statistics and mathematics.
- Willingness to learn and persevere.
Course Outline
1 Background
2 R Programming
2.1 Why learn R at all?
2.2 R Programming Basics
3 Exploratory Data Analysis
3.1 Pre-processing and Data Preparation
3.2 In-classroom Practice: EDA Techniques
3.3 Take-home Assignment
4 Machine Learning
4.1 Practical Statistics
4.2 Simple Linear Regression
4.3 Linear Model Prediction
4.4 Model interpretation
4.5 Multivariate Regression
4.6 Take-home Assignment
5 Summary
Certificate Obtained and Conferred by
Algoritma Data Science
Additional Details
Medium of Instruction and Trainer
Medium of Instruction: English & Bahasa
Trainer: Trainee ratio is 1:20
Price
| Course commencing before 1 July 2021 | Course commencing after 1 July 2021 | ||
| (95% funded) | (90% funded) | ||
| Course Fee | |||
| Full Course Fee | $1200.00 | ||
| Full Course Fee with GST | $1,284.00 | ||
| Nett amount after Funding | |||
| Singapore Citizens & Permanent Residents** | Individual | $64.20* | $128.40* |
| Corporate | $144.00* | $204.00* |
* includes 7% GST
Eligibility
Individual:
- Singapore Citizens or Singapore Permanent Residents physically based in Singapore
- Trainee has to complete 100% attendance and pass all relevant assessments and examinations
- NTUC LearningHub reserves the right to claw back the funded amount from trainee if he/she did not meet the eligibility criteria
Corporate:
- Singapore Citizens or Singapore Permanent Residents physically based in Singapore
- Company must be Financial Institutions regulated by MAS (licensed or exempted from licensing). FinTech firms must be certified by Singapore FinTech Association (SFA)
- Trainee has to complete 100% attendance and pass all relevant assessments and examinations
- Eligible company-sponsored trainees will be able to clock CPD hours upon successful course completion
Class Allowance
For courses commencing before 1st January 2021:
- Singapore Citizens and permanent residents of all ages will receive course fee subsidies of 95%
- Training Allowance – $10 per training and assessment hour (Self-sponsored individuals), $15 per training and assessment hour (Sponsoring companies in Finance and Banking)
For all courses commencing after 1st January 2021 and before 1st July 2021 :
- Singapore Citizens and permanent residents of all ages will receive course fee subsidies of 95%
- Training Allowance – $15 per training and assessment hour (Sponsoring companies in Finance and Banking)
For all courses commencing after 1st July 2021 and before 31st December 2021 :
- Singapore Citizens and permanent residents of all ages will receive course fee subsidies of 90%
- The course fee for individuals and corporates are shown in the pricing table.
Terms and conditions apply. NTUC LearningHub reserve the right to make changes or improvements to any of the products described in this document without prior notice.
Prices are subject to other LHUB miscellaneous fees.
| Batch ID | Course Period | Course Title | Funding Available |
Duration (Hours) |
Session (Hours) |
Venue | Available Seats |
Online Payment |
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