Hackwagon Academy - Data Analytics & Python Courses in Singapore - 991D Alexandra Rd
4.9/5
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based on 8 reviews
Contact Hackwagon Academy - Data Analytics & Python Courses in Singapore
Address : | Singapore 119972 |
Postal code : | - |
Website : | https://www.hackwagon.com/ |
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Qian Yu Hew on Google
★ ★ ★ ★ ★ This course is great for beginners (like myself). The instructors and teaching assistants are very patient and guide through each lesson very clearly so it was easy to follow along and learn! The take home assignment segment was a great platform to learn as well :)
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Pei Fang Lee on Google
★ ★ ★ ★ ★ As someone with zero background knowledge about programming, this course (although with a steep learning curve), has allowed me to gain a broad understanding of introductory level Python Programming. The teaching assistants were extremely helpful, and are always ready to offer any help I needed. They were always welcoming questions from the students and are overall very clear in their explanations as well. Thanks for the great learning experience! :)
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sugaraddictx3 on Google
★ ★ ★ ★ ★ The course was really helpful for a beginner like me who did not have much experience in coding. The instructors are friendly and patient throughout the entire course, and are very supportive in our learning. It is also helpful that the team allows student to have flexibility in attending alternative class schedule, especially given some of our busy schedule.
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Brennan Tan on Google
★ ★ ★ ★ ★ The course was overall an enjoyable experience. It has a well thought out curriculum and I could feel a steady pace of improvements every week. DS101 covered the basics of Python in an engaging manner, using real life data and applying our new found skills to manipulating and visualising that data. Their website is also intuitive to use and navigate, which was a plus for me, given the current COVID-19 situation.
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Theng Theng on Google
★ ★ ★ ★ ★ Lesson content was suited for beginners at programming and both the instructor and teaching assistants were very helpful and responsive to all our questions. My teaching assistant even conducted extra lesson every week to help us better understand the concepts taught. Overall a very insightful and pleasant experience for me.
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Jian Wen Tan on Google
★ ★ ★ ★ ★ The course was really fun. I am new to data science but I was able to learn quite a handful of useful coding skills under the guidance of the instructors. The instructors here are friendly and talented. They have the necessary skills and knowledge to conduct the lessons.
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Spada Lance on Google
★ ★ ★ ★ ★ Coming from an SMU-background, the lessons taught were in line with the SMU style lessons. 3 hours long, with short breaks and the TA and Instructors engages you to be vocal with regards to any issue. The Instructor speaks really well and is engaging. I am thankful that the TA is very knowledgeable and patient that they are willing to reply to my questions late into the night. Sometimes the lesson did feel too fast for a new coder like myself but all in all, it is manageable. I appreciate the materials distributed in class as it is some of the most comprehensive and detailed Python materials seen, much better than some of my school's notes. Very thankful and appreciative to be in the class and would like to continue to 102 during the next summer.
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David Jedidiah Ong Han Yuen on Google
★ ★ ★ ★ ★ Took the DS101 Introductory course and DS102 Data Analytics and Machine Learning course. Course content were structured really well and course materials were very helpful. Pacing was really good. Instructors were very patient and ready to jump in to help. Overall a great experience and felt like I gained a lot of knowledge that will be helpful in career.
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