Top Courses to Become a Data Engineer in 2023

Pratik Barjatiya
4 min readApr 17, 2023

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Data engineering is one of the fastest-growing fields in tech. The demand for data engineers is high, as companies increasingly rely on data to drive their businesses. If you are interested in becoming a data engineer, you need to have a solid foundation in programming, databases, and data warehousing. In this blog post, we will discuss the top courses to become a data engineer in 2023.

Which Programming Language Should You Learn?

There is no single programming language that is best for data engineering. However, some languages are more popular than others. The most popular programming languages for data engineering are Scala, Python, and SQL. Scala is a powerful language that is used for big data processing. Python is a versatile language that is widely used in data science and machine learning. SQL is the language used to query relational databases.

Course 1 — Rock the JVM Scala

If you want to learn Scala, the “Rock the JVM Scala” course is an excellent place to start. This course is designed for beginners and covers everything you need to know to get started with Scala. You will learn about Scala syntax, collections, and functional programming. The course also covers Spark, a popular big data processing engine.

Course 2 — Programming With Mosh Free

If you are looking for a free course, “Programming with Mosh” is an excellent option. This course covers the basics of programming, including variables, loops, and functions. It also covers object-oriented programming concepts and data structures. The course is available on YouTube, and you can watch it at your own pace.

Course 3 — University Of Michigan Python 3

If you want to learn Python, the “University of Michigan Python 3” course is an excellent option. This course is designed for beginners and covers everything you need to know to get started with Python. You will learn about Python syntax, data types, and control structures. The course also covers object-oriented programming and data analysis with Python.

Project Idea 1 — Basic Programming Project Ideas

Once you have completed a programming course, it is essential to practice your skills by working on projects. Some basic project ideas for data engineering include:

  • Building a data pipeline that extracts data from a database and loads it into a data warehouse.
  • Writing a script that downloads data from an API and stores it in a database.
  • Creating a web application that allows users to search and filter data in a database.

Course 4 — SQL With Khan Academy For Free

If you want to learn SQL, the “SQL with Khan Academy” course is an excellent option. This course is free and covers everything you need to know to get started with SQL. You will learn about SQL syntax, data manipulation, and querying relational databases.

Course 5 — SQL & Database Design A-Z™: Learn MS SQL Server + PostgreSQL

If you want to take your SQL skills to the next level, the “SQL & Database Design A-Z™” course is an excellent option. This course covers advanced SQL topics, including database design, normalization, and indexing. You will also learn how to work with Microsoft SQL Server and PostgreSQL.

Project Idea 2 — Felipe Hoffa

Felipe Hoffa is a developer advocate at Google. He has a blog where he shares interesting datasets that you can use for data engineering projects. Some of the datasets include:

  • GitHub Archive
  • Stack Overflow Data Dump
  • Public Datasets on Google Cloud

Course 6: Basics of Data Warehousing

Data warehousing is the process of storing and managing data from multiple sources in a central repository. This course teaches the basics of data warehousing, including concepts such as data modeling, ETL processes, and data quality. This course also covers the basics of data warehousing tools like Amazon Redshift, Microsoft Azure SQL Data Warehouse, and Google BigQuery.

Course 7: GCP Cloud Data Engineering Certificate

The Google Cloud Platform (GCP) Cloud Data Engineering Certificate is a comprehensive course that covers all aspects of data engineering on the GCP. This course covers key topics such as Big Data and Machine Learning, GCP Data Storage, and GCP Data Processing. Additionally, this course provides hands-on experience with GCP tools like Google Cloud Storage, Google Bigtable, and Google Cloud Dataproc.

Course 8: Ultimate AWS Certified Solutions Architect Associate 2022

This course is designed for individuals who want to become AWS Certified Solutions Architects. The course covers a wide range of topics, including AWS Fundamentals, Compute, Storage, Databases, Networking, Security, and AWS Architecture. This course provides hands-on experience with AWS tools like Amazon EC2, Amazon S3, Amazon RDS, Amazon VPC, and Amazon CloudWatch.

In conclusion, these are some of the top courses that can help you become a successful data engineer in 2023. Whether you are just starting your career or looking to upskill, these courses cover a wide range of topics and provide hands-on experience with popular data engineering tools. By completing these courses and projects, you will gain valuable skills and knowledge that will help you succeed in the growing field of data engineering.

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Pratik Barjatiya

Data Engineer | Big Data Analytics | Data Science Practitioner | MLE | Disciplined Investor | Fitness & Traveller