Showcasing my capstone projects from the Google Advanced Data Analytics course. Explore data-driven solutions for taxi fare prediction, TikTok sentiment analysis, and Waze user churn prediction. End-to-End Projects!
Data Analytics | Machine Learning | Data Viz
Google Advanced Data Analytics from coursera: https://www.coursera.org/professional-certificates/google-advanced-data-analytics?
What I've Learned:
- Explore the crucial roles of data professionals within organizations.
- Create compelling data visualizations and apply statistical methods to investigate data.
- Build robust regression and machine learning models for in-depth data analysis and interpretation.
- Effectively communicate insights derived from data analysis to stakeholders.
Skills I've learned:
| Category | Skills |
|---|---|
| Data Science | Data Analysis, Machine Learning |
| Programming | Python Programming, Jupyter Notebook |
| Data Visualization | Tableau Software, Data Visualization (Data Viz) |
| Predictive Modeling | Kaggle, Regression Models |
| Exploratory Data Analysis | Exploratory Data Analysis (EDA) |
| Statistical Analysis | Statistical Analysis |
You are a newly-hired data professional at Automatidata, a fictional data consulting firm. Automatidata’s focus is to help clients transform their unused and stored data into useful solutions. In this scenario, you will consult with The New York City Taxi & Limousine Commission to develop an app that will help users (TLC riders) estimate their taxi fares before their ride. Your first responsibility as a data analytics consultant will be to structure the necessary tasks into a project proposal that establishes milestones for the ride fare data project.
As a data analyst on TikTok's data team, with new considerations from the leadership team, you will create a project proposal by assigning the required data analytical tasks into realistic milestones that will advise future steps in the claims classification project.
You are the newest member of Waze’s data team. Your team is about to begin their user churn project. The first step is to create a project proposal. The proposal will clearly define the overall goal of the project, and identify key tasks, milestones, and stakeholders.
Note: The information in this README is preliminary and will be updated as projects progress.