
Tina Ling
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. Tina Ling participated in weekly live 1:1 mentoring sessions with an industry-experienced data analytics professional, and successfully completed two final capstone projects, "Suicide Rates - A Global View" and "Loan Approvals vs. Paid Status - A Process Change Review" 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
Gautam Tambay
Eduardo Ponce
Data Analytics Mentor, Springboard
Eduardo Ponce
Verified Certificate of Completion 81050805 | Completion August 31, 2023
CEO and Founder @ Springboard

Certificate of Completion


Data Analytics Career Track
Tina Ling
Data Analytics Career Track
Issued on
August 31, 2023
Expires on
Does not expire