Metis Data Science Bootcamp @ Kaplan |

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)
Experience studying or using statistics (or machine learning or computational modelling)

English language requirement: Pass in English Language at GCE O-Level or equivalent

Apply Now

Funding available. Find out more.

Our next Metis Data Science bootcamp is scheduled to start on 1 April 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.

Robert Alvarez

PhD in Applied Mathematics, Arizona State University Senior Data Scientist at Metis

Robert loves to break deep technical concepts down to be as simple as possible, but no simpler.

Robert has data science experience in companies both large and small. At Intel, he used his knowledge to tackle problems in data center optimisation using cluster analysis, enrich market sizing models by implementing sentiment analysis from social media feeds, and improving decision making in one of the top 5 global supply chains. At Tamr, he built models to unify large amounts of messy data across multiple silos for some of the largest corporations in the world. He earned a PhD in Applied Mathematics from Arizona State University where his research spanned image reconstruction, mathematical epidemiology and oncology. Robert is an Adjunct Professor at the Leavey School of Business where he teaches Data Science and Machine Learning. In his spare time, he is a rum judge, avid traveler, and eater of all things coconut.

Content by Robert:
Article: Creating Diagnostic Plots in Python and How to Interpret Them

Neo Han Wei

Data Scientist

Han Wei is a technical expert in Machine Learning (ML). He has strong industry experience in building ML models to solve business problems.

Prior to Metis, he was in charge of building marketing propensity models and recommender systems for DBS Singapore and its regional markets. In the past, he has worked in India and China where he developed models that brought tangible business outcomes.

Above all, he is an avid learner of all things in data science. His current interest includes reinforcement learning and interesting applications of transfer learning.

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

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.

Company Site Visits

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

Mock Interviews

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

Speaker Series

Learn from industry experts through our invited speakers.

Career Day

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

Data Science Training

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

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

Course Details

Entry Requirements

Online Pre-Work

Bootcamp Summary

Meet your Senior Data Scientists.

Robert Alvarez

Neo Han Wei

Info Sessions and Events.

19 Feb 2019, Tuesday

Info Session: Metis Data Science Bootcamp @ Kaplan

20 Feb 2019, Wednesday

Metis Data Science One-Day Bootcamp

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

Employability Skills Workshop

Company Site Visits

Mock Interviews

Speaker Series

Career Day

—Brennan Biddle, Capital One

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

Course Details

Entry Requirements

Online Pre-Work

Bootcamp Summary

Meet your Senior Data Scientists.

Robert Alvarez

Neo Han Wei

Info Sessions and Events.

19 Feb 2019, Tuesday

Info Session: Metis Data Science Bootcamp @ Kaplan

20 Feb 2019, Wednesday

Metis Data Science One-Day Bootcamp

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

Employability Skills Workshop

Company Site Visits

Mock Interviews

Speaker Series

Career Day

—Brennan Biddle, Capital One

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