Data Analyst Nanodegree

Nanodegree key: nd002

Version: 11.0.0

Locale: en-us

Learn to clean up messy data, uncover patterns and insights, make predictions using machine learning, and clearly communicate your findings.


Part 01 : Welcome to the Nanodegree program!

Welcome to the program! 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.

Part 02 : Introduction to Data Analysis

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.

Part 03 : Practical Statistics

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

Part 04 : Data Wrangling

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.

Part 05 : Data Visualization

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.

Part 06 : Congratulations and Next Steps

Part 07 (Elective): Intro to Machine Learning

Part 08 (Elective): Matrix Math and NumPy Refresher

Part 09 (Elective): Prerequisite: SQL

Part 10 (Elective): Prerequisite: Python

Part 11 (Elective): Prerequisite: Git & GitHub