Question 1

Why should I enroll?

Accepted Answer

The data engineering field is expected to continue growing rapidly over the next several years, and there’s huge demand for data engineers across industries.Udacity has collaborated with industry professionals to offer a world-class learning experience so you can advance your data engineering career. You will get hands-on experience running data pipelines, building relational and noSQL data models, creating databases on the cloud, and more. Udacity provides high-quality support as you master in-demand skills that will qualify you for high-value jobs in the data engineering field and help you land a job you love.By the end of the Nanodegree program, you will have an impressive portfolio of real-world projects and valuable hands-on experience.

Question 2

What jobs will this program prepare me for?

Accepted Answer

This program is designed to prepare people to become data engineers. This includes job titles such as analytics engineer, big data engineer, data platform engineer, and others. Data engineering skills are also helpful for adjacent roles, such as data analysts, data scientists, machine learning engineers, or software engineers.

Question 3

How do I know if this program is right for me?

Accepted Answer

This Nanodegree program offers an ideal path for experienced programmers to advance their data engineering career. If you enjoy solving important technical challenges and want to learn to work with massive datasets, this is a great way to get hands-on practice with a variety of data engineering principles and techniques.The prerequisites for this program include proficiency in Python and SQL. You should be comfortable writing functions and loops, using classes, working with libraries in Python. You should be comfortable querying data using joins, aggregations, and subqueries in SQL.

Question 4

Do I need to apply? What are the admission criteria?

Accepted Answer

There is no application. This Nanodegree program accepts everyone, regardless of experience and specific background.

Question 5

What are the prerequisites for enrollment?

Accepted Answer

The Data Engineer Nanodegree program is designed for students with intermediate Python and SQL skills. In order to successfully complete the program, students should be comfortable with the following programing concepts:Strings, numbers, and variablesStatements, operators, and expressionsLists, tuples, and dictionariesConditions, loopsProcedures, objects, modules, and librariesTroubleshooting and debuggingResearch & documentationProblem-solvingAlgorithms and data structuresJoinsAggregationsSubqueriesTable definition and manipulation (Create, Update, Insert, Alter)

Question 6

If I do not meet the requirements to enroll, what should I do?

Accepted Answer

Udacity’s Programming for Data Science with Python Nanodegree program is great preparation for the Data Engineer Nanodegree program. You’ll learn to code with Python and SQL.

Question 7

How is this Nanodegree program structured?

Accepted Answer

The Data Engineer Nanodegree program is comprised of content and curriculum to support six (6) projects. We estimate that students can complete the program in five (5) months working 10 hours per week.Each project will be reviewed by the Udacity reviewer network. Feedback will be provided and if you do not pass the project, you will be asked to resubmit the project until it passes.

Question 8

How long is this Nanodegree program?

Accepted Answer

Access to this Nanodegree program runs for the length of time specified in the payment card above. If you do not graduate within that time period, you will continue learning with month to month payments. See the Terms of Use and FAQs for other policies regarding the terms of access to our Nanodegree programs.

Question 9

Can I switch my start date? Can I get a refund?

Accepted Answer

Please see the Udacity Program Terms of Use and FAQs for policies on enrollment in our programs.

Question 10

What software and versions will I need in this program?

Accepted Answer

There are no software and version requirements to complete this Nanodegree program. All coursework and projects can be done via Student Workspaces in the Udacity online classroom.

Data Engineer Nanodegree Program

Course Report

Course Features

Course Description

Module 1: Data Modeling

Module 2: Cloud Data Warehouses

Module 3: Spark and Data Lakes

Module 4: Data Pipelines with Airflow

Course FAQs