Course Level
Early CareerCourse Duration
6 monthsIndustries
OthersFunding
SkillsFuture Credit Career Transition ProgrammeWith the ongoing digital revolution and advancements in technology, organizations can dramatically improve their effectiveness by collecting and analysing insights from relevant data. What is needed to equip yourself to succeed with applied data science in your field of work?
Data Science Bootcamp equips participants with the knowledge and skills of data science, using R as the core programming language so that they can harness the predictive power of data to solve interesting problems. Through the Bootcamp, participants will also be equipped with Tableau, and acquire a design thinking mindset to achieve decision intelligence.
You will be equipped with programming tools used to analyze and visualize data. You will learn and apply concepts related to statistics for data, machine learning algorithms and design thinking. While computer systems can execute calculations meticulously, this course aims to develop participants who are capable of leading data-led projects responsibly, through the use of decision intelligence to turn information into better actions.
This advanced part-time course is for Professionals, Managers, Executives, and Technicians (PMETs) to jump-start a career in data science.
Data wrangling & statistics for data
* Code with the R programming language using RStudio and RMarkdown
* Learn intermediate R functions to manage and aggregate data
* Clean data and manipulate using Tidyverse dplyr package
* Acquire basic descriptive statistics concepts
* Gain insights with exploratory data analysis using cases with industry applications
* Asynchronous learning using DataCamp
Visualization of data with R & Tableau
* Generate visualization plots with ggplot2 using RStudio
* Generate flexdashboard
* Build interactive plots and maps
* Develop impactful visualizations using Tableau
Machine learning modelling for decision intelligence
* Dive deep into machine learning algorithms
* Learn the mathematical concepts under that hood of algorithms
* Supervised and unsupervised machine learning
* Build regression and classification models
* Linear regression, logistic regression, decision trees, random forest, knn, Naive Bayes, K-means, hierarchical clustering, time series and neural networks
Design thinking mindset for data science and capstone projects
* Understand the design thinking process
* Learn from design thinking use cases applied to data science
* Acquire strategies for decision intelligence
* Build a demonstrable capstone project to showcase competency in data visualization and machine learning
* Evaluate, validate and tune models for improve performances
* Design interactive Tableau dashboards that provide real-time value
More details here : https://www.cet.np.edu.sg/courses/data-science-bootcamp/
Full course fee: $19,260.00
Singaporeans aged below 40, Permanent Residents: $5,778.00
Singaporeans aged 40 & above qualified for SkillsFuture Mid-Career Enhanced Subsidy: $2,178.00
Eligible Applicants for Additional Course Fee Funding Support*: $1,278.00
From 1 Jan 2024, all consumer goods and services are subject to the new GST rate change required by IRAS. Price displayed is only indicative and subject to changes by the course provider.
Kindly check with the course provider directly on the relevant subsidies and charges while registering interest.
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