Lance Wilkinson

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. Lance Wilkinson participated in weekly live 1:1 mentoring sessions with an industry-experienced data analytics professional, and successfully completed two final capstone projects, "Predictive Implications in the early detection and prevention of Heart Disease." and "Identifying the most significant factors in prediction of Stroke occurence." 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

Wayne Ang

Data Analytics Mentor, Springboard

Wayne Ang

Verified Certificate of Completion 71477907 | Completion April 9, 2023

General Manager, Data Programs, Springboard