Andrew Chang
HAS SUCCESSFULLY COMPLETED
A 600-hour online course that covers Machine Learning, Recommendation Systems, Time Series Analysis and Social Network Analysis in Python. Andrew Chang participated in weekly live 1:1 mentoring sessions with an industry-experienced data scientist, and successfully completed two final projects, "Spotify Sequential Skip Prediction Challenge: a smart and light approach" and "Classifying the Acoustic Environment of YouTube Videos using Deep Neural Network" 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
Gautam Tambay
Ajith Patnaik
Data Science Mentor, Springboard
Ajith Patnaik
Verified Certificate of Completion 71970737 | Completion April 17, 2023
CEO and Co-Founder, Springboard
Certificate of Completion
Andrew Chang
Data Science Career Track
Issued on
April 17, 2023
Expires on
Does not expire