In this Nanodegree Program we're using Python, SQL, and Statistics to uncover insights, communicate critical findings, and create data-driven solutions.
The following topics are covered in depth:
- Data Analysis
- Data Wrangling
- Exploratory Data Analysis
- Data Visualization
- Learned how to manipulate data using NumPy and SciPy.
- Load, process and clean data using Pandas.
- Perform the entire data analysis process on a dataset.
- Apply inferential statistics and probability to real-world scenarios.
- Create and analyze the results of hypothesis testing and A/B testing using Statsmodels.
- Build a regression model.
- Build visualizations using different design elements using Matplotlib and Seaborn.
- Use visualizations to explore data and communicate insights.
- Write PostgreSQL to query a single table & multiple tables.
- Project 1: Explore US Bikeshare Data Walk through.
- Project 2: Investigate a Dataset (TMDb Movie Dataset).
- Project 3: Proposal for virtual projects.
- Project 4: Analyze AB test results.
- Project 5: Communicate your findings (California Airport Passenger Traffic).