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

OOP

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

Autoencoders

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

01. Introduction

Welcome to Software Engineering Practices Part I

In this lesson, you’ll learn about the following practices of software engineering and how they apply in data science.

  • Writing clean and modular code
  • Writing efficient code
  • Code refactoring
  • Adding meaningful documentation
  • Using version control

In the lesson following this one (Part II) you’ll also learn these software engineering practices:

  • Testing
  • Logging
  • Code reviews