Welcome to the Nanodegree program

The Skills That Set You Apart

The Data Science Process

Learn the data science process, including how to build effective data visualizations, and how to communicate with various stakeholders

Communicating to Stakeholders

Project Write A Data Science Blog Post

In this project, learners will choose a dataset, identify three questions, and analyze the data to find answers to these questions. They will create a GitHub repository with their project, and write a blog post to communicate their findings to the appropriate audience. This project will help learners reinforce and extend their knowledge of machine learning, data visualization, and communication.

Introduction to Software Engineering

In this lesson, you’ll write production-level code and practice object-oriented programming, which you can integrate into machine learning projects.

Software Engineering Practices Pt I

Software Engineering Practices Pt II


Portfolio Exercise: Upload a Package to PyPi

Web Development

Portfolio Exercise: Deploy a Data Dashboard

Introduction to Data Engineering

ETL Pipelines

Introduction to NLP

Learn Natural Language Processing one of the fields with the most real applications of Deep Learning

Machine Learning Pipelines

Disaster Response Pipeline

Project1: Disaster Response Pipeline

Concepts in Experiment Design

Statistical Considerations in Testing

Statistical Considerations in Testing

AB Testing Case Study

A/B Testing Case Study

Portfolio Exercise Starbucks

Introduction to Recommendation Engines

Matrix Factorization for Recommendations

Recommendation Engines

Upcoming Lesson

Sentiment Prediction RNN

Convolutional Neural Networks

Transfer Learning

Weight Initialization


Job Search

Find your dream job with continuous learning and constant effort

Refine Your Entry-Level Resume

Craft Your Cover Letter

Optimize Your GitHub Profile

Develop Your Personal Brand

10. Cleaning Up Your AWS Account

Once you have finished making use of Amazon’s services you should make sure to clean up your account. One of the main reasons for this is so that you don’t get an unexpected bill!

Have you cleaned up?

Task List:

Shut down any notebook instances that are running.

Shut down any endpoints that are running.

Clean up your S3 buckets, provided you are finished with them. Note: Deleting an S3 bucket can not be undone so only do this if you are completely finished.

Delete any unused Lambda functions.

Remove any unused APIs created using API Gateway


Task Feedback:

It is generally a good idea to double check your AWS account from time to time as you are working with various services. Keep your AWS account tidy!