In this part, you’ll get an orientation into using our classroom and services. You’ll also get advice for making the best use of your time while enrolled in this program.
- Explore Weather Trends In this project, you will analyze local and global temperature data and compare the temperature trends where you live to overall global temperature trends.
- Learn the data analysis process of questioning, wrangling, exploring, analyzing, and communicating data.Learn how to work with data in Python using libraries like NumPy and Pandas.
- Investigate a Dataset Choose one of Udacity's curated datasets, perform an investigation, and share your findings.
- Learn how to apply inferential statistics and probability to important, real-world scenarios, such as analyzing A/B tests and building supervised learning models.
- Analyze A/B Test Results You will be working to understand the results of an A/B test run by an e-commerce website. Your goal is to work through to help the company understand if they should implement the new page design.
- Learn the data wrangling process of gathering, assessing, and cleaning data. Learn how to use Python to wrangle data programmatically and prepare it for deeper analysis.
- Wrangle and Analyze Data Gather data from a variety of sources and in a variety of formats, assess its quality and tidiness, then clean it.Showcase your wrangling efforts through analyses and visualizations.
- Learn to apply sound design and data visualization principles to the data analysis process. Learn how to use analysis and visualizations to tell a story with data.
- Communicate Data Findings Choose a dataset, either your own or a Udacity-curated dataset, and perform an exploratory data analysis using Python. Then, create a presentation with explanatory plots that conveys your findings.