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. Companies are now using Data Science to better target consumers, make hiring decisions and predict process failure.
Businesses understand the importance of data and are now placing immense emphasis on Data Analytics skills to drive innovation and make powerful decisions. Not just decisions, but informed, data-driven decisions.
Our Hackwagon programme has the best in class learning system and materials necessary for your enjoyable Data Science learning journey. Break into Data Science with our Data Science track which caters to everyone, from beginners to advanced coders.
There will be 58 million jobs by 2022 in the areas of Artificial Intelligence and Machine Learning, according to the World Economic Forum, but only 300,000 people are now qualified. - Forbes
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 TRACK
WORK ON REAL DATA
Wundercell
Collaborate
Work on a shared Jupyter notebook, while maintaining the ability to navigate and work independently
Dashboard
Build a realtime dashboard with live data and analysis straight from your notebook
WHAT MAKES US 5 STARS
1000+
Great reviews on Facebook & Google
5.0 out of 5.0
Ratings by those that
have taken our courses
100+
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!
ACCESS TO INDUSTRY-LEADING COURSEWARE
At Hackwagon, we only teach practical topics that are used in the industry.
COURSE DETAILS
DS101 consist of 7 lessons that is 3 hours each. At the end of the course, there will be a test for accreditation. Singaporeans and PRs are available for IBF subsidies of up to 70% on the course fees of $2000. SkillsFuture credits can be used to fully cover the remainder course fees.
✓ Data Science 101 is beginner friendly. No prior background or experience is required.
✓ Gain an accredited Data Analytics Certification in Singapore.
Data Science 101 (IBF Level 4) is Accredited by IBF
The Institute of Banking and Finance Singapore (IBF) is the national accreditation and certification agency for financial industry competency in Singapore under the IBF Standards. Find out more on www.ibf.org.sg
CURRICULUM
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
CLASS SCHEDULE
You can be kept updated when we release new class slots through our telegram group here, https://t.me/hackwagon.
Our latest class schedule for Data Science 101 (DS101) can be viewed here:Â https://join.hackwagon.com/
COURSE SUBSIDIES
- Singapore Citizens/PRs who fully complete the course and pass the final assessment will be eligible for 50% subsidy.
You will be eligible for a $1000 subsidy from IBF, which will reduce the net course fee to $1000. This remaining amount can be covered by SkillsFuture Credits.
- Singapore Citizens who are 40 years old and above and fully complete the course and pass the final assessment will be eligible for 70% subsidy.
You will be eligible for a $1400 subsidy from IBF, which will reduce the net course fee to $600. This remaining amount can be covered by SkillsFuture Credits.
STUDENTS' TESTIMONIALS
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!
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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.
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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.
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Do I have to take Introduction To Python Programming (Synchronous E-Learning) before taking DS102?
If you already have a good knowledge of Introduction To Python Programming (Synchronous E-Learning) content and are familiar with Python's programming syntax, you can skip DS101 and instead apply to DS102.
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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.
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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.
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.