Matthew Roumelis

Matthew Roumelis

has successfully completed

A 600-hour online course that covers Machine Learning, Recommendation Systems, Time Series Analysis and Social Network Analysis in Python. Matthew Roumelis participated in weekly live 1:1 mentoring sessions with an industry-experienced data scientist, and successfully completed two final projects, "Predicting Coffee Grade" and "Customer and Marketing Analytics for PokemonGo App" that were reviewed by an independent industry expert.

Data Science Career Track

Mini-Projects Completed

Topics Covered

Three Exploratory Data Analysis projects Linear & Logistic Regression Time Series Analysis Recommender Systems Naive Bayes Customer segmentation using clustering MapReduce with Spark

Programming in Python Software engineering principles Data Wrangling Inferential Statistics Machine Learning Data at Scale Data Storytelling Recommender Systems Time Series Analysis Social Network Analysis

Kelvin Tse

Dhiraj Khanna

Data Science Mentor, Springboard

Dhiraj Khanna

Verified Certificate of Completion 39080328 | Completion September 23, 2021

General Manager, Data Programs, Springboard

Kelvin Tse