Data Engineer Courses Online

Data Engineer Courses for Online Learning

So, you want to be a data engineer? It’s not a bad decision. Data engineering is one of the highest-paying jobs in tech ($115,000), and the skills you learn can be used in many different industries.

But where should you start? There are lots of different courses out there, but which ones will give you the best foundation for a successful career as a data engineer?

In this blog post, we’ll take a look at some of the best data engineering courses for self-study learners. We’ll also discuss what topics these courses cover, so you can get an idea of what to expect.

And finally, we’ll discuss the job prospects for data engineers. Then, we will provide some tips on choosing the right course to fit your needs. Get started with these data engineering courses online.

1. Data Engineer Nanodegree Program


The Udacity Data Engineer Nanodegree Program is an intensive program that will teach you how to design data models, build data warehouses and data lakes, automate data pipelines, and work with big data. You’ll also learn how to use industry-leading tools like Spark, Apache Airflow, PostgreSQL, and Apache Cassandra.

In this program, you’ll learn how to create cloud-based data warehouses on Amazon Web Services (AWS). You’ll also gain a deeper understanding of data infrastructure, so you can put your data to work for any business.

By the end of the program, you’ll have a portfolio project to show off your skills to collect, store, and analyze data at scale. But this course assumes that you already have a strong foundation in Python and SQL. Enroll today in the Udacity Data Engineer Nanodegree Program to help make sound data science decisions as a data engineer.

2. Data Engineering Professional Certificate (Coursera)


With the IBM Data Engineering Professional Certificate, you will gain access to job-ready skills that will help you jump-start your new career in Data Engineering. For instance, you will learn how to use Python and Linux/UNIX shell scripts to extract, transform and load data.

Additionally, you will learn how to query data using SQL statements and work with Relational Databases (RDBMS). You will be introduced to Big Data and work with Big Data engines like Hadoop and Spark. By gaining experience with creating data warehouses and utilizing business intelligence tools, you can analyze and extract insights for any business.

The program will culminate in a Capstone Project where you will bring together all of these skills – and it looks outstanding in your CV/resume. With this certificate program, you will be prepared for a data engineering career in a field that is constantly growing! And it’s offered by IBM, a leader in the field of data science

3. Data Engineer with Python (DataCamp)


If you’re looking to become a data engineer, DataCamp has you covered. This track will teach you how to build an effective data architecture, streamline data processing, and maintain large-scale data systems – all with Python.

This hands-on course will teach you how to work with cloud and big data tools like AWS Boto, PySpark, Spark SQL, and MongoDB. You’ll learn how to create and query databases, wrangle data and configure schedules to run your pipelines.

You’ll also learn about Shell, SQL, and Scala – so you can create data engineering pipelines, automate common file system tasks, and build a high-performance database. By the end of the Data Engineer with Python track, you’ll be ready for your next career move!

Data Engineer Courses Online

Love data? Love learning how to collect, store, and analyze it at scale? Neither do I, but if you’re thinking of becoming a data engineer, then you’re in luck!

Data engineering is one of the highest-paying jobs in tech. With this list of data engineering courses, you can learn how to hone your skills by taking one or more of these online training programs.

We introduced you to some courses that can help you become a data engineer.

Once you master these skills, you never know what opportunities may be waiting in the exciting field of data engineering.

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