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About Hackwagon Academy

Location: Singapore

Hackwagon is an immersive coding bootcamp in Singapore. With courses in Data Science, Fullstack Web Development, and Front-end Development, Hackwagon aims to impart industry relevant skills and 21st century capabilities that are future-proof.

Their Data... Read More

Hackwagon Academy is committed in building up tech talents in Singapore. Singapore Citizens who are accepted into Hackwagon Academy’s course and meet the eligibility criteria will receive a subsidy. Terms and conditions will be outlined in the student contract.

Courses

Cyber Security 101

Cost: 2,000
Duration: 7 weeks
Locations: Singapore
In-person Only
Course Description:

Learn the basics of cyber security, and how you can apply security concepts into your workplace. Implement multiple layers of protection spread across the computers, networks, or data that one intends to keep safe.

The programming courses conducted at Hackwagon Academy are held in a seminar style. Teaching content as well as practices are doled throughout the duration of each lesson iteratively. Also, graded assessments will be given to students at each learning milestone. Students are encouraged to participate in class where the quality of questions asked are graded as well.

Tuition is 2000 SGD.

Subjects:
Cyber Security

Data Science

Cost: 2,000
Duration: 7 weeks
Locations: Singapore
In-person Only
Course Description:

Learn how to create insights from real data through the YouTube, Lazada and Airbnb projects within the course. With 3 levels available, this program is ideal for students of any level: The Data Science 101 (DS101) course is built for beginners with no background in programming. Finishing DS101 prepares students for the Data Science 102 (DS102) course, where they learn about data analytics toolsets in Python. DS102 can also be taken by software engineers who are already well versed in Python. In our master class, Data Science 103, students will graduate with data know-how in an organisation setting and be certified as a data analyst by our academy.

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 SGD before GST however Singaporeans and PRs are eligible for subsidies of up to 100%. GST amount is not claimable for subsidies.

Subjects:
Python, Data Visualization, Statistics & Probability

Web Development

Cost: 2,000
Duration: 7 weeks
Locations: Singapore
In-person Only
Course Description:

Students will learn the fundamentals of Full-Stack Web Development.

Tuition is 2000 SGD.

Subjects:
CSS, HTML, JavaScript

Hackwagon Academy Reviews

Average Ratings (All Programs)

Hackwagon Academy logo

4.66/5 (777 reviews)

Yoke
Graduated: 2019

8/4/2019

Course
DATA SCIENCE

Overall

Curriculum

Job Support

"DS102"

Course gives a good overall introduction to data science. Last 2 lessons delivery on machine learning is choppy and not un-organised. A bit confusing. Maybe more interpretation on coding. Hopefully simple background information will be given before class.... Read More

Anonymous
Graduated: 2019

8/4/2019

Course
DATA SCIENCE

Overall

Curriculum

Job Support

"Lessons could be improved"

Great course materials but maybe need more practice and feedback from instructors and TAs

Anonymous
Graduated: 2019

8/4/2019

Course
DATA SCIENCE

Overall

Curriculum

Job Support

"DS102 Hackwagon"

Instructor Raymond has been quite comprehensive. However, homework wise, the structure sentences could be more clearer.
The TAs has also been quite helpful but overall teaching style could be better.
Overall, DS102 is great after learning DS101.

Anonymous
Graduated: 2019

8/4/2019

Course
DATA SCIENCE

Overall

Curriculum

Job Support

"[DS102] Excellent Data science course"

I thoroughly enjoyed the course that Raymond instructed. Raymond is very passionate with his lessons often showing us very interesting case examples and common pitfalls. I feel that his love and interest in Data Science has motivated me to become better.The... Read More

Anonymous
Graduated: 2019

8/4/2019

Course
DATA SCIENCE

Overall

Curriculum

Job Support

"Decent lesson structured and helpful tutor"

Pros: guided lessons where immediate help can be received as it's about 6:50 student ratio
Cons: might get tiring as it's a 3h lesson

Celine
Student | Graduated: 2019

8/4/2019

Course
DATA SCIENCE

Overall

Curriculum

Job Support

"It was worth it!"

The course was way better than I expected. What I expect was just data visualisation but I gain way more such as Machine Learning. What was the biggest takeaway was having to do an analytics project. It was like learning within learning taking place.

Low Yee Lee
Graduated: 2019

8/4/2019

Course
DATA SCIENCE

Overall

Curriculum

Job Support

"Useful Bootcamp for all ages"

The course materials are helpful for all ages, skill levels and knowledge background. The instructor is thoughtful in conveying the lesson material in the simplest most layman manner easiest to understand. Teaching assistants are always on standby and... Read More

Anonymous
Graduated: 2019

8/4/2019

Course
DATA SCIENCE

Overall

Curriculum

Job Support

"Hackwagon DS102 has been engaging and helpful overall"

The DS102 hackwagon class has been helpful as the content covered are generally useful to cleaning real-life data. The instructors and TA have been patient and clear in their explanation of concepts.

Anonymous
Graduated: 2019

8/4/2019

Course
DATA SCIENCE

Overall

Curriculum

Job Support

"Fun, Engaging but still require some researching to understand certain topics."

Topics were good and easy to learn; the codes were relatively easy to pickup and use. However some more analytical topics like R square values, k mean, etc, some self researching had to be done as these are more complex mathematical theories for analysis.... Read More

Anonymous
nsf | Graduated: 2019

8/4/2019

Course
DATA SCIENCE

Overall

Curriculum

Job Support

"HACKWAGON DS102"

The course was pretty informative, but it was tough to follow through the entire lesson as it can get difficult.

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