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? Data Science is behind this strange incident. Businesses understand the importance of data and are now placing immense emphasis on Data Analytics skills. After all, what is the point of having an immense amount of data if you can’t create insights and stories out of it?

Over the years, Data Science has transformed business models such that companies know how better to target consumers, make hiring decisions and predict process failure. Modern businesses are harnessing the power of data to drive innovation and make powerful decisions. Not just decisions, but informed, data-driven decisions. Break into Data Science with our Data Science track which caters to everyone, from beginners to advanced coders.

Singapore has been seeing an increasing need to skilled programmers in the tech industry. At this rate, we will be lacking 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

    Mid-career data scientists are projected to earn up to $104,000 a year

  • BIG DATA ANALYTICS

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

Data Science Course Singapore
Data Analytics Courses Singapore
Learn Python Programming

DATA SCIENCE TRACK

DATA SCIENCE 101

Build your foundations in the tools-of-the-trade (Python) over 7 weeks.

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DATA SCIENCE 102

Learn to perform data exploration, visualisation, and machine learning using advanced Python libraries.

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DATA SCIENCE 103

Learn to build an enterprise level end-to-end data analytics model with a data pipeline.

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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 advanced data analytics toolsets and create their own data project. Finally, the Data Science 103 (DS103) is our master class where students learn how to build a full data pipeline that incorporate machine learning models.

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:

SENTIMENT ANALYSIS AND NAIVE BAYES CLASSIFICATION ON E-COMMERCE REVIEWS

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.

HEALTHCARE SUSTAINABILITY THROUGH DOCTOR/BED-PATIENT 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.

RELATIONSHIP BETWEEN SINGAPORE’S RESERVE AND CPF BALANCE

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.
VIEW PROJECTS

WHAT MAKES US 5 STARS

We spare no expense in creating a highly rated experience that is uniquely Hackwagon. Try out one of our courses to experience it for yourself.

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Ratings by those that have taken our courses

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Runs of Hackwagon’s acclaimed curriculum

  • Data driven lessons

    We collate data from students every single lesson so that our instructors adapt to students during the course

  • EXPECT GREAT TEACHERS

    All our instructors have been trained to deliver the unrivalled Hackwagon experience that you can’t get anywhere else!

  • BE TAUGHT BY A DEDICATED TEAM

    At Hackwagon, we don’t work alone. Each class has a team of dedicated teaching assistants who offers immediate assistance if you get lost during class.

 
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.
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COURSE DETAILS

DS101 consist of 7 lessons with each session lasting 3 hours long at 991D Alexandra Road #01-22/23 Singapore 119972. The course fee is $2000 before GST.
*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
Thomas Odell Data Analytics Instructor University of Toronto Honours B.A. Computer Science
 

CLASS SCHEDULE

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

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!
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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.