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Data Science Training

Metis accelerates the careers of data scientists by providing full-time immersive bootcamps.

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Here's what you'll learn at the bootcamp.

Course Details

12-Week, in-person Bootcamp
Monday - Friday, 9:00am - 6:00pm
2-3 hours of classroom instruction daily
4-6 hours of development and project work
Conveniently located at Kaplan City Campus @ PoMo, Singapore

Entry Requirements

Diploma or Bachelor Degree holders are eligible to apply

While work experience is not required, applicants should ideally demonstrate, by way of previous coursework, research, or job-related experience that they have:

  • Programming experience (i.e. writing code, preferably Python)
  • Experience studying or using advanced arithmetic (or machine learning or computational modelling)
English language requirement: Pass in English Language at GCE O-Level or equivalent
 

Our next Metis Data Science bootcamp is scheduled to start on 8 July 2019. Application closes on 4 June 2019. Register here.

Online Pre-Work

25 hours minimum of academic pre-work and variable hours to setup.

Bootcamp Summary

Week 1: Introduction to the Data Science Toolkit
Exploratory Data Analysis, Bash, Git & GitHub, Python, pandas, matplotlib, Seaborn
Week 2: Linear Regression and Machine Learning Intro
Web scraping via BeautifulSoup and Selenium, regression with statsmodels and scikit-learn, feature selection overfitting and train/test splits, probability theory.
Week 3: Linear Regression and Machine Learning Continued
Regularisation, hypothesis testing , intro to Bayes Theorem
Week 4: Databases and Introduction to Machine Learning Concepts
Classification and regression algorithms (Knn, logistic regression, SVM, decision trees, and random forest), SQL concepts, cloud servers
Week 5: More supervised learning algorithms & web tools
Naive Bayes, stochastic gradient descent and intro to Deep Learning, Full stack in a nutshell: Python Flask, Javascript and D3.js
Week 6: Statistical Fundamentals
MLE, GLM, Distributions, Databases (RESTful APIs, NoSQL databases, MongoDB, pymongo) Natural Language Processing techniques
Week 7: Unsupervised Machine Learning
Various clustering algorithms, including K-means and DBSCAN, dimension reduction techniques (PCA, SVD, LDA, NMF)
Week 8: More Deep Learning & Unsupervised Learning
Deep Learning via Keras, Recommender Systems
Week 9: Big Data
Hadoop, Hive & Spark, Final project initiated
Week 10-12: Final Project

Meet your Senior Data Scientists.

Info Sessions and Events.

Check back for details of new Information Sessions coming soon

View More Dates

You've completed your bootcamp training.
Now let's get you hired.

Workshops

Employability Skills Workshop

The Employability Skills Workshop is designed to equip individuals with the necessary skills to enhance their employability. Participants learn how to enhance their confidence in job search and sharpen their job search skills. For example, they learn how to write a good resume and best position their LinkedIn profile, what to wear to an interview, and how to handle interviews.

Read More at Employment and Employability Institute, e2i
Site Visits

Company Site Visits

Visit hiring companies, learn about their culture, and how companies use data science in their daily operations.

Interviews

Mock Interviews

Participate in a technical interview, including whiteboard practice, with our instructors.

Speakers

Speaker Series

Learn from industry experts through our invited speakers.

Career Day

Career Day

Present your final passion project to employers and meet hiring companies.



Companies where our alumni work:
Capital One
Brennan Biddle, Capital One
“We’ve been working with Metis for a few years now across several different geographies. Their talent bar is extremely high, and we repeatedly hire very strong candidates from them. Their curriculum, staff, and career partners tend to produce candidates that pass our rigorous interview process and then hit the ground running once they start.”