Reg No: 200912099N
Reg from: 21st Aug. 2020 to 20th Aug. 2024
Built on the Top of the Basic Python Knowledge. In this module focus will be to train the aspirant on various concepts of python that are required for Data Science and Machine Learning
Students will learn to Extract the data from Database and ingest it into python as a Data frame and perform analysis.
The students will learn how to ingest data from various sources and will learn to work with modules such as the Pandas module on performing data wrangling.
The students will learn the concept of Exploratory Data Analysis (EDA) and how to use visualization techniques. Students will learn how to plot data using various visualization techniques.
The students will learn the feature engineering techniques and how it impacts the process in Machine learning model building. Students will also learn the concepts of supervised and unsupervised learning and types of algorithms used for Different Scenarios
Capstone Studio Practice is a research-based module that integrates concepts and works from throughout the program. Students are expected to integrate skills, knowledge, and creativity to produce a project that will showcase professional expertise in a chosen career field.
Junior Data Scientist will use the development tool to generate reports, dashboards, and analytical solutions according to business rules and specifications. He leads important projects and coordinates with the internal team to develop projection on the outcome implementing certain business strategies that results in actionable insights.
Data Analyst will use the development tool to generate reports, dashboards, and analytical solutions according to business rules and specifications. He leads important projects and coordinates with the internal team to develop projection on the outcome implementing certain business strategies that results in actionable insights.
Meisi is an experienced Data Scientist who has worked on both private and governmental data analytics projects across different industries ranging from aviation, urban planning and infrastructure to consumer goods.
Formerly a Policy Analyst in the government sector, she transited from a generalist to a data analytics-driven professional. She is passionate to spread awareness about data science and share her experience on how to extract untapped insights within the data treasure trove that many companies possess.
|Duration||:||Part time 24 weeks (2 weekdays & 1 Weekend) |Full Weeks 14 weeks|
|Student to Lecturer Ratio||:||15:1|
|Part Time – 3 days X 3 hours a day per week|
|Medium of Instruction||:||Lectures & Practical (Hands on Application)|
|Language of Instruction||:||English|
|Mode of Assessment||:||Project Based Assessment for All Modules|
|Certification||:||Professional Certificate in Data Science Immersive|
Minimum Age: 18 years old or above (based on date of birth) at point of start class
Academic Qualification for Diploma Intake: 3 GCE ‘O’ Level
English Proficiency: GCE ‘O’ Level English – Requires a minimum of C6 English grade
|Programme Fee||Net Payable (below 40 yrs)||Net payable (40 yrs and above)|
|SGD 13,888||SGD 5,123.16||SGD 2341.16|
|30% of SGD13,000 + SGD888 + GST||10% of SGD13,000 + SGD888 + GST|
Connect with mentors to build confidence with mock technical interviews and be coached in professional resume writing
Sharpen presentation skills in delivering future projects and develop winning pitches
Learn to cultivate productive communication in a team and strategically allocate time
Establish essential leadership and hone business networking skills