Mahmuda Yasmin
HAS SUCCESSFULLY COMPLETED
A 600-hour online course that covers Machine Learning, Recommendation Systems, Time Series Analysis and Social Network Analysis in Python. Mahmuda Yasmin participated in weekly live 1:1 mentoring sessions with an industry-experienced data scientist, and successfully completed two final projects, "An Classification in ML Approach to Analyze Customer Churn." and "An NLP Approach to Predict Sentiments on Restaurant Reviews." 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
Branko Kovac
Data Science Mentor, Springboard
Branko Kovac
Verified Certificate of Completion 96327279 | Completion February 29, 2024
CEO and Co-Founder, Springboard
Certificate of Completion
Mahmuda Yasmin
Data Science Career Track - Foundations to Core
Issued on
February 29, 2024
Expires on
Does not expire