This repository is for the projects I've done on the Udacity Data Analyst Nanodegree.
The program prepares me for a career as a Data Analyst / Analytics professional by helping me learn:
- Exploratory Data Analysis (EDA)
- Data Wrangling
- Data Cleaning
- Practical Statistics (i.e. applying inferential statistics and probability to real-world scenarios, like analyzing A/B tests.)
- SQL for Data Analysis
- Data Visualization to draw meaningful conclusions
- Python
- Data Analysis/Wrangling libraries (Numpy, Pandas)
- Data Visualization libraries (Matplotlib, Seaborn)
- Jupyter Notebooks
- SQL