Data Engineer is one of the exciting fields to work in and the skills to get a Data Engineer job are not so tough. If Data Engineer is the job you would like to get into, then Udacity has a course that offers great learning resources to acquire the necessary skills.
In this Udacity Data Engineer Nanodegree review, we’ll look at the course curriculum and the course features. Udacity offers many great features for students to learn and they also help you get the desired job to become a Data Engineer.
Udacity Data Engineer Review
Data Engineering course has a bright future and good scope for future career opportunities. Here you’ll be learning how to build data lakes, design data models, and build data pipelines. Also, you’ll be working on massive datasets.
In the end, you’ll have to complete the capstone project by using all the skills you learned in this program. The good thing about this course is that it was developed in collaboration with INSIGHT.
Become a Data Engineer Prerequisites
For any course that you enroll in online, there are some prerequisites to be met by every student. Udacity has laid out some of the skillsets that student has to meet or has the knowledge on those topics.
Below are the Udacity’s become a Data Engineer course prerequisites:
- The student should have intermediate skills in Python programming
- Knowledge of SQL is essential to work as a Data Engineer
- Understanding of Linear Algebra from your high school or college would be of great help while taking this Data Engineer course
These are the pre-defined skills that should be met before taking on Udacity Data Engineer Nanodegree.
Udacity Data Engineer Course Syllabus
Already know Python and SQL, great. You’re equipped with the prerequisite skills to take a Data Engineer course from Udacity.
The course curriculum is broken into 5 sections and each section has mini-projects to complete. These mini projects will help you prepare for the final capstone project.
You’ll begin by learning Data Modeling where you acquire the skills to create NoSQL and relational data models. The models created will fit the diverse needs of data consumers. Here you’ll employ ETL to build databases in Apache Cassandra and PostgreSQL.
This section has two projects where you’ll get hands-on practice on both PostgreSQL and Apache Cassandra.
Cloud Data Warehouses
In this chapter, you’ll finally learn the basics of data warehouses and the benefits of data warehousing. You’ll also learn to perform data warehouses in the cloud environment and its advantages. The cloud hosting that you’ll be using here is AWS.
Don’t worry if you’re new to Cloud technology, this course teaches you some of the basics of operating Cloud hosting. Some of the AWS tools that you’ll be using here are IAM, S3, EC2, and RDS instances.
This section is concluded with a small project by building a data warehouse in the cloud.
Spark and Data Lakes
After the first two sections of Become a Data Engineer Udacity course, things will get interesting. Because you’ll learn the concepts of Big Data – Hadoop and Spark where both of which are essential skills. You’ll learn the concepts of how distributed systems like these work.
The instructor gives a clear explanation of how a cluster computer and distributed file systems work. Both these topics are interesting to learn.
You’ll conclude the chapter by building a data lake as a project of this section. The project involves loading data to S3, processing it using Spark, and then load back to S3. All these are done on the AWS cloud platform.
Data Pipelines with Airflow
In the 4th installment of the course, you’ll use all the technologies learned in the above 3 sections. You’ll be introduced to DAGs, Data pipelines, and Airflow concepts. Students will also have the opportunity to study data lineage.
Both data lineage and data governance will be the future of data engineering. Of all the previous chapters, this one is a bit shorter. The project involves you to configure and schedule data pipelines with Airflow and monitor and debug production pipelines.
In this Udacity Data Engineering capstone project, students will combine all the technologies learned in the entire course and build a data engineering portfolio project.
The goal of this capstone project is to give students a chance to use all the skills they acquired to use in this one single project. The project involves that you collect data from many sources, perform ETL, and create a database to analyze.
Features of Udacity Data Engineer Nanodegree
Below are the features you get when you enroll on Udacity to learn Data Engineer:
- You get all the real-world projects with immersive learning content. These projects are well designed to give you a clear picture of the industry standards.
- Udacity provides Technical mentor support who will help you in learning by answering all your queries to keep you on track.
- Every student enrolling on Udacity is entitled to career service, where they will review your professional profile and your resume.
- Offers a greater flexible learning program. You can learn at your own pace and beat your personal goal.
Summary: Is Udacity Data Engineer Nanodegree worth it?
Absolutely yes. This Udacity Data Engineer Nanodegree review is created to help you make the decision. The features and offers by Udacity are good and trustworthy.
Also, the certification from Udacity is one of the most recognizable certificates across the world.
You may also be interested to know that we’ve listed the best online course to learn Data Engineer on different platforms.
Udacity Data Engineer Nanodegree
With Udacity Data Engineer Nanodegree any one can become a Data Engineer if you meet the prerequisite. Both Python and SQL are essential skills set to learn the Data Engineer course.
Course Provider: Organization
Course Provider Name: Udacity
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