
Samuel Prince
HAS SUCCESSFULLY COMPLETED
A 400-hour online course that covers the core concepts of Data Analytics spanning Structured Foundational Thinking, Financial, Econometric and Statistical Analysis, Data Visualization, SQL and Multivariate Regression Analysis in Python. Samuel Prince participated in weekly live 1:1 mentoring sessions with an industry-experienced data analytics professional, and successfully completed two final capstone projects, "Hotel Revenue Analysis - Minimizing Cancellations" and "NYC Property Sales Analysis" that were reviewed by an independent industry expert.
Data Analytics Career Track
Mini-Projects Completed
Topics Covered
Problem Statement Worksheet Formation
Issue & Value Driver Tree Analysis
Financial EBIT Analysis
Cost-Curve Econometric Analysis
Multivariate Time Series Regression Modelling
Visualization Analysis (Tableau / PowerBI)
Executive / Technical / Non-Technical Fundamentals
Ordinary Least Squares Regression Modelling (Python)
MySQL Time Series Analysis
Structured Thinking Foundations
Advanced Excel Foundations
Financial & Economic Analysis
Statistical Analysis (Descriptive / Inferential)
Visualization Platforms (Tableau / PowerBI)
Multivariate Regression Analysis
Model Evaluation (RMSE)
Data Wrangling
Ordinary Least Squares Regression
Data Storytelling
Time Series Analysis
Python
SQL
Jonathan Heyne
Chris Hui
Data Analytics Mentor, Springboard
Chris Hui
Verified Certificate of Completion 45992242 | Completion February 7, 2022
General Manager, Data Programs, Springboard


Certificate of Completion

Samuel Prince
Data Analytics Career Track
Issued on
February 7, 2022
Expires on
Does not expire