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Course Details
Course Details
What You'll Learn
Topic 1 Getting Started with Data Analytics in R
- Introduction to R and Data Analytics
- Setting Up R and RStudio
- Importing and Cleaning Data
- Exploring and Summarising Data
Topic 2 Visualisation and Analysis with R
- Creating Charts and Visualisations
- Working with the Tidyverse
- Basic Statistical Analysis
- Communicating Insights
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: 21-65 years old
Minimum Software/Hardware Requirement
Software:
You can download and install the following software:
Hardware: Windows and Mac Laptops
Job Roles
Job Roles
- Data Analyst
- Market Researcher
- Business Analyst
- Quality Assurance Specialist
- Social Science Researcher
- Graduate Student
- Economic Analyst
- Product Manager
- Human Resources Analyst
- Healthcare Data Specialist
- Educational Researcher
- Sports Statistician
- Financial Analyst
- Behavioral Scientist
- Environmental Data Specialist.
Trainers
Trainers
Dwight Nuwan Fonseka is Head of Data Science at Plano Pte. Ltd. and an ACLP-certified trainer with deep expertise in data analytics, machine learning, and AI applications. He has extensive hands-on experience developing predictive models, RShiny dashboards, and deep learning solutions using R, Python, TensorFlow, and Keras. With a strong professional background in healthcare, finance, and customer analytics, Dwight brings an applied perspective to teaching AI, focusing on both the opportunities and risks of emerging technologies.
Dr Alvin Ang is a ACTA certified trainer. Dr. Alvin Ang did his Ph.D., Masters and Bachelors from NTU, Singapore. Previously he was a Principal Consultant (Data Science) as well as an Assistant Professor. He was also 8 years SUSS adjunct lecturer. His focus and interest is in the area of real world data science. Though an operational researcher by study, his passion for practical applications outweigh his academic background. He owns a startup externally.
Review
Customer Reviews (146)
- Might consider recommend Review by Course Participant/Trainee
-
Repackage the course to make it more concise - the 2nd part of the lesson was too rushed, which formed the most important parts of the course since the focus was on statistical analysis. Codes could also be written on the handout as exemplars for future use. Simple graphical representations involving pie charts, histograms and bar charts were not needed as they were too simple. Instead, more time could be focused on advanced statistical tools like Annova, use of t-test and chi-square. The link to the downloading of software could be given earlier so less time was needed to setup the software. (Posted on 6/11/2016)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
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