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Master Data Science in 4 Weeks (Beginner Level, 14 April - 6 May)

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Location

Location

Singapore

Fusionopolis

Singapore, Singapore 138634

Singapore

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Refund Policy

Refund Policy

No Refunds

Event description

Description

Introduction of the Course:

Check our website: http://yiduai.sg/training. for detailed syllabus and other informations.

The Master Data Science in 4 Weeks course is a 4-week Intensive training program for beginners to Data Science. Unlike other programs, in these 4 weeks, you will be fully exposed to Data Science both online, offline and with your supportive community, and build up your project portfolio to achieve your career dreams.

The course curriculum is carefully constructed to maximize your learning experience. Here you will be fully immersed in Data Science throughout the 4 weeks – never a moment wasted. For $269, you get

  • Weekly 4-hour offline course (significant amount of time on hands-on practices),
  • Weekly homework on Kaggle for additional real-world cases and get rewarded by doing your homework,
  • Weekly list of recommended video courses you can watch on your own pace,
  • Weekly community discussion/meetup sessions with your classmates,
  • Weekly machine learning seminar from industry practitioners,
  • 24/7 online discussion forum led by course instructors,
  • One practical data science coding workshop (worth $88) FREE to you, taught by an experienced industry leader.

Furthermore, there is support all around you in the 4-week journey, from course instructors, workshop instructor, seminar speakers and the online/offline community. You can also tap into the professional network of 800+ Yidu AI members throughout and beyond this course.

Syllabus of the Course

Click here to download the detailed syllabus.

  • 4 Weekend courses: 1.5 hours teaching + 1.5 hours hands-on in-class project in Saturdays
  • 4 Industry Talks: 2 hours talk by industry leaders from local AI companies every Sunday
  • 1 Hands-on Workshop: One-day workshop by an experienced industry leader (worth $88) made FREE to you
  • Data Science Community: Homework on Kaggle with leaderboard (Every Sunday), networking activities for students, Slack andWechat group, etc.

Weekend courses:

Week 1 (14th April):

  1. Introduction to data science and machine learning
  2. Pipeline of machine learning
  3. Feature Engineering
  4. In-class project: Hands-on with Python and related packages

Week 2 (21st April):

  1. Linear Regression
  2. Logistic Regression
  3. Model fitting and Cross validation
  4. In-class project: Spam Email Detection

Week 3 (28th, April):

  1. Decision tree
  2. Ensemble learning
  3. XGBoost and Random forest
  4. In-class project: Credit Risk Analysis

Week 4 (5th May):

  1. SVM for classification
  2. Neural networks
  3. Conclusion
  4. In-class project: Image Classification

Four Industrial Talks (Every Sunday):

  1. Gaming: Overview of the gaming industry, the game design consideration and the technical stack.
  2. Blockchain: Overview of blockchain applications in finance, why the hype, with particular emphasis on blockchain applications on asset management.
  3. Robotics: Cutting-edge applications of robotics, topics on social/assistive robotics will be covered.
  4. Computer vision: Overview of computer vision used in the industry. The techniques of developing better computer vision algorithms.

One-day Workshop:

Practical Data Science led by our very own industry leader.

The workshop will cover Numpy, Pandas, Matplotlab packages for data manipulation, processing, analysis and visualization. Scikit-learn package is also introduced for machine learning operations. The workshop will also include a hands-on session using the techniques learned. Lastly, a bonus section will also be included.

Job referal opportunities:

Good students in this class can be recommended to local AI and data science companies (mature companies or unicorns) for internship and full-time.

Application

For instructors' information and detailed course information, please check our website: http://yiduai.sg/training.

FAQs

What's the refund policy?

Unfortunately, once enrolled you will not be able to get a refund due to need to cover our cost of venue, instructors, and other logistics. We seek your understanding.

How can I contact the organizer with any questions?

For any questions, please contact us with contact@yiduai.sg

What can I bring into the event?

Please bring your own computer (for hands-on project) and your ID card (for entrance of the classroom).

Date and Time

Location

Singapore

Fusionopolis

Singapore, Singapore 138634

Singapore

View Map

Refund Policy

No Refunds

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