Data Engineering

Course

Learn how to wrangle data on a massive scale! By the end of this course, you’ll be able to pull data from a wide range of sources, store it in a database, and create data pipelines (ETL, NLP, machine learning) that power real-world web applications.

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04Days06Hrs56Min33Sec

Estimated time
28 hours
Enroll by
September 28, 2022
Get access to classroom immediately on enrollment
Prerequisites
Python, SQL, Statistics, Machine Learning

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What You Will Learn

Data Engineering
28 hours to complete
For many companies, data scientists who can also tackle data-engineering problems are worth their weight in gold. In this course, you’ll learn how to unlock data silos, pulling data from multiple sources and pipelining it into usable forms for analysts and top-level decision makers. At the end, you’ll even build an impressive machine-learning-powered web application that has real-world, life-saving significance.
Prerequisite knowledge
1. ETL Pipelines
  Understand what ETL pipelines are and cccess and combine data from CSV, JSON, logs, APIs and databases.
2. Natural Language Processing
  Prepare text data for analysis with tokenization, lemmatization, and removing stop words. Use scikit-learn to transform and vectorize text data and build features with bag of words and tf-idf.
3. Machine Learning Pipelines
  Understand the advantages of using machine learning pipelines to streamline the data preparation and modeling process. Use feature unions to perform steps in parallel and create more complex workflows and complete a case study to build a full machine learning pipeline that prepares data and creates a model for a dataset.
4. Course Project: Build Disaster Response Pipelines
  In this project, you’ll build a data pipeline to prepare the message data from major natural disasters around the world. You’ll build a machine learning pipeline to categorize emergency text messages based on the need communicated by the sender.

Introducing new Udacity Single Courses

Our students asked and we listened. You can now get the in-demand tech skills you need faster and for less money by enrolling in one of our new, one-month Single Courses. You’ll get the specific job-ready skills you need in as little as four weeks and for a fraction of the cost.

Of course if you are looking for a more robust, in-depth education, you can still enroll in one of our 3-6 month Nanodegree programs.

Both programs are part-time and online, and they both offer 24/7 support, quality Udacity-produced content, courses created with the help of top tech companies, and more. You can always start with a Single Course and upgrade to a full Nanodegree program if you like.

All our programs include:

Real-world projects from industry experts
With real-world projects and immersive content built in partnership with top-tier companies, you’ll master the tech skills companies want.
Technical mentor support
Our knowledgeable mentors guide your learning and are focused on answering your questions, motivating you, and keeping you on track.
Workspaces
Validate your understanding of concepts learned by checking the output and quality of your code in real-time.
Flexible learning program
Tailor a learning plan that fits your busy life. Learn at your own pace and reach your personal goals on the schedule that works best for you.

Course offerings

Class content
- Real-world projects
- Project reviews
- Project feedback from experienced reviewers
Student services
- Technical mentor support
- Student community

Succeed with personalized services.

We provide services customized for your needs at every step of your learning journey to ensure your success.

Get timely feedback on your projects.

Personalized feedback
Unlimited submissions and feedback loops
Practical tips and industry best practices
Additional suggested resources to improve

1,400+
project reviewers
2.7M
projects reviewed
88/100
reviewer rating
1.1 hours
avg project review turnaround time

Mentors available to answer your questions.

Support for all your technical questions
Questions answered quickly by our team of technical mentors

1,400+
technical mentors
0.85 hours
median response time

Learn with the best.

Juno Lee
Curriculum Lead at Udacity
Juno is the curriculum lead for the School of Data Science. She has been sharing her passion for data and teaching, building several courses at Udacity. As a data scientist, she built recommendation engines, computer vision and NLP models, and tools to analyze user behavior.
Andrew Paster
Instructor
Andrew has an engineering degree from Yale, and has used his data science skills to build a jewelry business from the ground up. He has additionally created courses for Udacity’s Self-Driving Car Engineer Nanodegree program.
Arpan Chakraborty
Instructor
Arpan is a computer scientist with a PhD from North Carolina State University. He teaches at Georgia Tech (within the Masters in Computer Science program), and is a coauthor of the book Practical Graph Mining with R.