Certificate of completion - https://www.coursera.org/account/accomplishments/professional-cert/YDLJ94MFQ42C
Click here to view the capstone project, which includes detailed explantion for each step.
Or copy the URL below then paste it into a browser:
https://github.com/KevinVChin/Google-Advanced-Data-Analytics-Professional-Certificate/blob/main/7-Google_Advanced_Data_Analytics_Capstone/Activity_Course7-Salifort_Motors_project_lab.ipynb
This repository contains labs, annotated notebooks, and capstone project for the Google Advanced Data Analytics Professional Certificate program. Each folder holds all the work for each of these courses as well as the certificate awarded after completion.
The program is offered through a seven-course series which contains a comprehensive curriculum towards specific aspects of data analytics. These courses are:
- Foundations of Data Science - Learn how data professionals operate in the workplace and how different roles in the field of data science contribute to an organization’s vision of the future. Then, explore data science roles, communication skills, and data ethics.
- Get Started with Python - Discover how the programming language Python can power your data analysis. Learn core Python concepts, such as data types, functions, conditional statements, loops, and data structures.
- Go Beyond Numbers: Translate Data into Insights - Learn the fundamentals of data cleaning and visualizations and how to reveal the important stories that live within data.
- The Power of Statistics - Explore descriptive and inferential statistics, basic probability and probability distributions, sampling, confidence intervals, and hypothesis testing.
- Regression Analysis: Simpilfy Complex Data Relationships - Learn to model variable relationships, focusing on linear and logistic regression.
- The Nuts and Bolts of Machine Learning - Learn unsupervised machine learning techniques and how to apply them to organizational data.
- Google Advanced Data Analytics Capstone - Complete a hands-on project designed to demonstrate the skills and competencies acquired in the program.