WHY LEARN DATA SCIENCE?

Ever encountered a situation where you were shopping online and bumped into advertisements that were surprisingly related to your searches on Facebook or other platforms continuously for about a week? How about when you were just casually sending a text to your friend and you were suggested by the keyboard to use these same precise words that you were planning to put inside the text you were going to send. Let’s also not forget how Youtube is able to display videos with similar content to what you’ve always watched on the recommendations section or home screen.

Data Science is the answer to all these strange incidents and it has been a successful aspect of many businesses. Over the years, it has been putting in significant value into a lot of business models through data and comprehensive learning to have better decision-making and improve hiring. Data Science also processes historical data and anticipates potentially harmful incidents or any possible risk to make sure that businesses can avoid them.

As stated by the IMDA, Singapore has been seeing an increasing need for skilled programmers in the tech industry and will be lacking about 30,000 technology experts by 2020.

  • CAREER CHANCES

    Data Science was chosen as the #1 career in 2018 as the fastest-paced job

  • HIGH PAYING JOBS

    Data Scientists can earn up to $104,000 every year in their mid-career stage

  • BIG DATA ANALYTICS

    Demand for data job positions will be growing rapidly in time to come

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DATA SCIENCE TRACK

Data Science 101 (DS101) course was started to guide beginners with zero knowledge in programming. Completing it will allow students to be prepared for Data Science 102 (DS102) course, where students learn Python and gain an understanding of data analytics toolsets. On the other hand, engineers who handle software and are knowledgeable in Python can also take up. Finally, the Data Science 103 (DS103) is our master class where students graduate from the academy after learning how to break down data in a corporation setting and be acknowledged as a data analyst by Hackwagon Academy.

WORK ON REAL DATA

We are exceptional at bringing students from beginners to professionals. Expect to graduate with the ability to perform deep and insightful analysis. Below are some of our students' project:
One challenge that businesses face is how to gain a better understanding of the voice of the customer. This issue can be addressed by extracting additional information from customer reviews, using sentiment analysis.
We analyse the number of doctors and hospital beds against the number of admitted patients between 2006 to 2015 to see if the Healthcare sector is sufficiently equipped to support the number of admitted patients.
This project aims to visualise both Singapore’s Total Foreign Reserves and CPF balance from 1972 – 2015 with the objective to determine if Foreign Reserves growth can be explained by growth in CPF balance.
Build your foundation
Understand what Data Science and Python are all about and gear yourself with industry-related skills and the latest capabilities that will come handy in the future.

COURSE DETAILS

DS101 consist of 7 lessons with each session lasting 3 hours long at 991D Alexandra Road #01-22/23 Singapore 119972. Course fees is $2000 before GST however Singaporeans and PRs are eligible for subsidies of up to 100%. GST amount is not claimable for subsidies.
*Course schedule can be found by clicking Apply Now or here.

 

CURRICULUM

Find out what you will learn throughout the 7 weeks course.
  • Programming Competencies

    Learn how to perform operations and analysis with the use of popular programming languages like Python.

  • Statistical Modelling

    Use standard analysis models to generate useful information and provide actionable insights.

  • Data Visualisation

    Aggregate and visualise data using data libraries in Python to display information to audiences in a useful manner.

  • Project 1: YouTube (Due on Week 4)
    • Familiarise with storing data into python data variables
    • Practice writing scalable python codes to extract intermediate output from data
    • Practice applying conditional changes upon the data set
  • Project 2: Lazada (Due on Week 5 & 6)
    • Practice writing modular codes
    • Learn how to clean the data using python programming
    • Learn how to extract even more complex outputs from the data using python codes
    • Learn how to perform basic visualisations through using python
  • Project 3: Airbnb (Due on Week 7)
    • Serves as a consolidation for all the concepts students have learnt
    • Learn how to leverage upon complex python libraries to deliver intermediate outputs and visualizations
    • Gain an insight into how python programming can be applied upon real data to derive at useful actionable insights
 

INSTRUCTORS

Yi Sheng Data Engineer at Fullerton Health Singapore Management University SMU Salutatorian
Raymond Li Ex Data PM @ Shopee Columbia University Masters in Management Science & Engineering
Danielle Thio Data Analytics Instructor National University of Singapore BSc in Quantitative Finance
Kiang Teng Data Analytics Instructor National University of Singapore BSc in Chemical Engineering
Thomas Odell Data Analytics Instructor University of Toronto Honours B.A. Computer Science
Wei Han Data Analytics Instructor National University of Singapore BSc of Computer Science
 

CLASS SCHEDULE

Our latest class schedule for Data Science 101 (DS101):
 

GOVERNMENT SUBSIDIES

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.

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.


STUDENTS' TESTIMONIALS

Check out what students have to say about our courses.

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!

Wenyu See

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!

GET YOUR ANSWERS TO QUESTIONS YOU MAY HAVE ABOUT THE BOOTCAMP.
  • What is Data Science?

    A data scientist typically carries out research and analyses the data to aid companies in improving their business by anticipating the trends, growth and insights built on large sums of data.

  • Why take up Data Science?

    On Glassdoor’s website, Data Science was chosen as the #1 job in 2016 and the need for Big Data jobs will continue to increase in time to come.

  • What is the Expected Salary of a Data Scientist?

    The salary for a data scientist will typically be about $104,000 every year once they have reached the mid-career stage.

  • My organisation has run into data science issues, what can I do about it?

    If you are encountering issues with tabulating huge sums of data, you should take up data science as the skills obtained will let you transform that data into useful insights. On the other hand, if you are to run into any difficult problems that are rather hard to resolve, you can always seek help from our accomplished instructors who can find the solution to your troubles while being a consultant at the same time.

Take your first step

Sign Up Today & Experience Python!
APPLY NOW

The demand for data scientists will not see an end to it as technology begins to develop even further. Many learners across all ages learn data science in Singapore to broaden their horizons in the competitive Information and Communication Technologies (ICT) industry.

Data science adds value to the business by allowing organizations unpack the findings from data, followed by carefully analyzing these data to gather useful insights to help make strategic business decisions. Big companies like Netflix have been using data science to gather data about users' movie and film viewing patterns to understand what users enjoy and are interested in, to come up with ideas on the next Netflix Original Series to produce for these users.>

With the increase in demand for this profession, there has been a surge of big data analytics courses and data science programs to help aspiring programmers achieve their dreams. Big data cannot simply be uncovered or analyzed using traditional data-processing application software as they are far too complex or large to deal with. Through our courses, students will be able to see the opportunity behind mastering big data and make full use of the acquired data to discover business opportunities and give themselves the edge over others.

Whether it is data science training or big data training, at Hackwagon, we offer the best data science courses to interested applicants. We have made it possible by providing flexibility in our schedules for interested parties through the availability of part-time and full-time courses.

Our big data courses will be taken over the course of 7 weeks, with each lesson lasting up to 3 hours long. The python courses here are highly interactive and gives students the opportunity to acquire hands-on experience by taking part in industry-related projects through many globally known brands like Youtube, Lazada and Airbnb.

Students will be able to learn python programming in advanced business analytics courses to hone their knowledge of programming and apply it to real data when they go into the ICT industry. The job opportunities available for graduates are not just limited to the ICT industry as students are able to venture into various industries such as Retail, Travel & Hospitality and Healthcare to showcase their ability as a programmer after completing the course. With each course completion, a student will be awarded a data analytics certification to recognize them as a qualified programmer.

With the right data analytics training, students will be able to go out into the workforce as an equipped programmer and provide the business with what they need to succeed. Learn python for data science today over a short period and sharpen your ability as a successful programmer in the future.