DATA SCIENCE TRACK
WORK ON REAL DATA
Work on a shared Jupyter notebook, while maintaining the ability to navigate and work independently
Build a realtime dashboard with live data and analysis straight from your notebook
DS102 consist of 7 lessons with each session lasting 3 hours long at 991D Alexandra Road #01-22/23 Singapore 119972. The course fees for the course is $2000. Discounted prices available for corporate runs of the DS102 public course (without Govt Subidies).
Singaporeans and PRs are eligible for course fee support for the DS102: Data Analytics with Python course. For full information on CITREP+ eligibility, please visit this link. The GST amount is not claimable under Citrep+ subsidy.
This course is an advance Python course and trainees are required to have the prerequisites before commencing the course. These prerequisites are also covered in our DS101 series.
In light of the Covid-19 situation, the July cohort are tentatively planned for either live stream format or physical classes depending on the government's direction closer to the course start date. Live stream lessons will be supplemented with weekly small group online consultations with the teaching assistants.
DS102: Data Analytics with Python
Administered by the Infocomm Media Development Authority (IMDA), the CITREP+ funding support is eligible for Singapore Citizens and Permanent Residents. Valid for courses commencing from 1 April 2019. Terms and conditions apply. Please visit www.imtalent.sg/citrep for full details.
Basic python syntax and data structure
Familiar with python syntax, and the data structure like list, dictionaries and tuples.
Python Conditions and Iterations
Familiar with if, elif and else conditional constructs, as well as writing iterations using python for and while loops.
Functions and Libaries
Know how to write python functions, read python library documentations and make use of python libraries.
Project 1: Exploratory Analysis (Due on Week 2)
- Practice exploratory data analysis on movie dataset
- Required to present approach on week 2
Project 2: Visualisation of Food Data (Due on Week 4)
- Practice data visualisation concepts and libraries 1b
- Required to present approach on week 4
Project 3: Scraping Job Data (Due on Week 5)
- Practice web scraping libraries and concepts
- Required to present approach on week 5
Project 4: Yelp Reviews (Due on Week 6)
- Students are to use libraries learnt to perform text mining on Yelp reviews
- Required to present approach on week 6
Project 5: Passenger Survival Project (Due on Week 7)
- Consolidation project where students will be able to apply the concepts they learn from the lessons, specifically, Lesson 1, Lesson 2, Lesson 3, and Lesson 6
- Required to present approach on week 7
Our latest class schedule for Data Science 102 (DS102):
The course fee for the course is $2000. Singaporeans/PRs are eligible for claiming of course fees under the CITREP grant by IMDA. By the 2nd week of lessons, trainees will receive an invoice for upfront payment first. After the course ends, the government will reimburse the subsidy amount to the trainee bank account. During the last lesson, trainees will be guided on how to do the claiming process. GST is not claimable under Citrep+ subsidies.
Your SkillsFuture credits can be used to cover the remaining course fees and GST that is not covered under Citrep. *If you're company sponsored, you cannot use your SkillsFuture credits.
CITREP+ supports local professionals in keeping pace with technology shifts through continuous and proactive training. For more information, you can visit the IMDA website here for more information.
Danial Adam Leong
The instructors are highly knowledgeable to be able to bring across new concepts as well as to explain the practicality of the concepts in the workforce! The atmosphere was also very conducive with meals and drinks being offered. Their follow-up service is also impeccable as they continue to update previous classes regarding new happenings in the data science field. Overall, it was a blast and I'm glad to have signed up for it!
The environment was really conducive for learning: spacious, with all the necessary amenities. Besides that, the instructor was very passionate, and was well-prepared for class with in-class worksheets to guide. During the lesson there were also teaching assistants who went around the room to provide guidance when help was needed. The TAs contactable via telegram chat should you require any assistance with your homework.
Foo Rong Chang
Excellent course where instructors are both knowledgeable and passionate. There are teaching assistants walking around to assist you in your learning and are more than willing to go out of their way to help you in other languages as well should you need the help. Helpful, friendly and approachable are the traits that they possess and have made the learning journey for us students so much easier and more fun as well!
What is Data Science?
Data scientist performs research and analysis on data and helps companies to improve business by predicting growth, trends and insights based on huge amounts of data.
Why Learn Data Science?
Data Science was voted as the #1 Job of 2016 by Glassdoor and demand for Big Data jobs are expected to increase up exponentially in the future.
What is the Expected Pay of a Data Scientist?
Data Scientists earn an estimated mid-career salary of $104,000 annually.
My company has data science problems, what do I do?
If your company has seemingly huge amounts of data, learning data science skills will allow you to manipulate that data into actionable insights. Should the problems be tough to solve, our experienced instructors can solve your data science problems together in the capacity of a consultant.