Data Analyst Nanodegree

Felipe Mahlmeister

This repository contains projects for Udacity's Data Analyst Nanodegree.

Part 1: Introduction to Data Analysis

Learn the data analysis process of wrangling, exploring, analyzing, and communicating data. Work with data in Python, using libraries like NumPy and Pandas.

• Project: Explore Weather Trends
• Project: Investigate a Dataset

Part 2: Practical Statistics

Learn how to apply inferential statistics and probability to real-world scenarios, such as analyzing A/B tests and building supervised learning models.

• Project: Analyze Experiment Results

Part 3: Data Wrangling

Learn the data wrangling process of gathering, assessing, and cleaning data. Learn to use Python to wrangle data programmatically and prepare it for analysis.

• Project: Wrangle and Analyze Data

Part 4: Data Visualization with Python

Learn to apply visualization principles to the data analysis process. Explore data visually at multiple levels to find insights and create a compelling story.

• Project: Communicate Data Findings