10 Best Data Engineering Courses and Certifications Online 2023

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There are countless online courses and classes that will assist you improve your Data Engineering abilities and earn your Data Engineering certificate.

In this short article, our specialists have actually put together a curated list of the 10 Best of the Best Data Engineering courses, tutorials, training programs, classes and certifications that are offered online right now.

We have included just those courses that fulfill our high-quality standards. We have actually put a lot of effort and time into gathering these all for you. These courses are suitable for all levels, beginners, intermediate learners, and experts.

Here’s a look at these courses and what they have to offer for you!

10 Best Data Engineering Courses and Certifications Online

Course Name	Enrolled Students (Count)	Reviews (count)
1. “Data Engineering Essentials using SQL, Python, and PySpark” Our Best Pick	40151+	1297+
2. “Data Engineering – ETL, Web Scraping ,Big Data,SQL,Power BI”	24966+	267+
3. Data Engineering using AWS Data Analytics Services	7995+	661+
4. Data Engineering using Databricks on AWS and Azure	6452+	446+
5. Azure Data Factory for Beginners – Build Data Ingestion	4080+	441+
6. Data Engineering on Google Cloud platform	3527+	406+
7. Data Engineering on Microsoft Azure: The Definitive Guide	1346+	138+
8. Data Engineering using Kafka and Spark Structured Streaming	971+	56+
9. Data Engineering with Python	351+	44+
10. Learn AWS Data Engineering	204+	47+

1. “Data Engineering Essentials using SQL, Python, and PySpark” by “Durga Viswanatha Raju Gadiraju, Asasri Manthena” Udemy Course Our Best Pick

“Learn key Data Engineering Skills such as SQL, Python and PySpark with tons of Hands-on tasks and exercises using labs.”

As of right now, more than 40151+ people have enrolled in this course and there are over 1297+ reviews.

Course Content

“Introduction about the course
Getting Started with ITVersity Labs for Data Engineering Essentials on Udemy
Setup Environment to learn Python, SQL, Hadoop, Spark using Docker on Windows 11
Setup Environment to learn Python, SQL, Hadoop, Spark using Docker on Windows 10
Setup Environment to learn Python, SQL, Hadoop and Spark using Docker on Mac
Setting up Environment to learn Python, SQL as well as Spark using AWS Cloud9
Networking Concepts for Beginners – ip addresses and port numbers
Database Essentials – Getting Started
Database Essentials – Database Operations
Database Essentials – Writing Basic SQL Queries
Database Essentials – Creating Tables and Indexes
Database Essentials – Partitioning Tables and Indexes
Database Essentials – Predefined Functions
Database Essentials – Writing Advanced SQL Queries
Programming Essentials using Python – Perform Database Operations
Programming Essentials using Python – Getting Started with Python
Programming Essentials using Python – Basic Programming Constructs
Programming Essentials using Python – Predefined Functions
Programming Essentials using Python – User Defined Functions
Programming Essentials using Python – Overview of Collections – list and set
Programming Essentials using Python – Overview of Collections – dict and tuple
Programming Essentials using Python – Manipulating Collections using loops
Programming Essentials using Python – Development of Map Reduce APIs
Programming Essentials using Python – Understanding Map Reduce Libraries
Programming Essentials using Python – Basics of File IO using Python
Programming Essentials using Python – Delimited Files and Collections
Programming Essentials using Python – Overview of Pandas Libraries
Programming Essentials using Python – Database Programming – CRUD Operations
Programming Essentials using Python – Database Programming – Batch Operations
Programming Essentials using Python – Processing JSON Data
Programming Essentials using Python – Processing REST Payloads
Understanding Python Virtual Environments
Overview of Pycharm for Python Application Development
Data Copier – Getting Started
Data Copier – Reading Data using Pandas
Data Copier – Database Programming using Pandas
Data Copier – Loading Data from files to tables
Data Copier – Modularizing the application
Data Copier – Dockerizing the application
Data Copier – Using custom Docker Image
Data Copier – Deploy and Validate Application on Remote Server
Validate ITVersity Hadoop and Spark Cluster (for ITVersity lab customers)
Setup Single Node Hadoop and Spark Cluster or Lab using Docker
Introduction to Hadoop eco system – Overview of HDFS
Data Engineering using Spark SQL – Getting Started
Data Engineering using Spark SQL – Basic Transformations
Data Engineering using Spark SQL – Managing Tables – Basic DDL and DML
Data Engineering using Spark SQL – Managing Tables – DML and Partitioning
Data Engineering using Spark SQL – Overview of Spark SQL Functions
Data Engineering using Spark SQL – Windowing Functions
Apache Spark using Python – Data Processing Overview
Apache Spark using Python – Processing Column Data
Apache Spark using Python – Basic Transformations
Apache Spark using Python – Joining Data Sets
Apache Spark using Python – Spark Metastore
Getting Started with Semi Structured Data using Spark
Process Semi Structured Data using Spark Data Frame APIs
Apache Spark – Development Life Cycle using Python
Spark Application Execution Life Cycle and Spark UI
Setup SSH Proxy to access Spark Application logs
Deployment Modes of Spark Applications”

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2. “Data Engineering – ETL, Web Scraping ,Big Data,SQL,Power BI” by Bluelime Learning Solutions Udemy Course

“Hands on Data Interaction using – ETL, Web Scraping ,Big Data,SQL,Power BI”

As of right now, more than 24966+ people have enrolled in this course and there are over 267+ reviews.

Course Content

“ETL (Extract, Transform ,Load) environment setup
Implementing ETL Process with SSIS
Data Interaction with SQL (Transact-SQL)
Web Scraping
Installing Required Software for Web Scraping
Web Scraping with Python and Beautiful Soup
Web Scraping with Python and Scrapy
Introduction to Big Data
Data Interaction with Power BI
Connecting to Web Data with Power BI
Connecting and transforming database data with Power BI
Data Modelling with Power BI”

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3. Data Engineering using AWS Data Analytics Services by “Durga Viswanatha Raju Gadiraju, Asasri Manthena, Perraju Vegiraju” Udemy Course

“Build Data Engineering Pipelines using AWS Data Analytics Services such as Glue, EMR, Athena, Kinesis, Lambda, etc”

As of right now, more than 7995+ people have enrolled in this course and there are over 661+ reviews.

Course Content

“Introduction to the course
Setup Local Development Environment for AWS on Windows 10 or Windows 11
Setup Local Development Environment for AWS on Mac
Setup Environment for Practice using Cloud9
AWS Getting Started with s3, IAM and CLI
Storage -Deep Dive into AWS Simple Storage Service aka s3
AWS Security using IAM – Managing AWS Users, Roles and Policies using AWS IAM
Infrastructure – Getting Started with AWS Elastic Cloud Compute aka EC2
Infrastructure – AWS EC2 Advanced
Data Ingestion using Lambda Functions
Overview of Glue Components
Setup Spark History Server for Glue Jobs
Deep Dive into Glue Catalog
Exploring Glue Job APIs
Glue Job Bookmarks
Getting Started with AWS EMR
Development Lifecycle for Pyspark
Deploying Spark Applications using AWS EMR
Streaming Pipeline using Kinesis
Consuming Data from s3 using boto3
Populating GitHub Data to Dynamodb
Overview of Amazon Athena
Amazon Athena using AWS CLI
Amazon Athena using Python boto3
Getting Started with Amazon Redshift
Copy Data from s3 into Redshift Tables
Develop Applications using Redshift Cluster
Redshift Tables with Distkeys and Sortkeys
Redshift Federated Queries and Spectrum”

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4. Data Engineering using Databricks on AWS and Azure by “Durga Viswanatha Raju Gadiraju, Asasri Manthena” Udemy Course

“Build Data Engineering Pipelines using Databricks core features such as Spark, Delta Lake, cloudFiles, etc.”

As of right now, more than 6452+ people have enrolled in this course and there are over 446+ reviews.

Course Content

Introduction to Data Engineering using Databricks
Getting Started with Databricks on Azure
Azure Essentials for Databricks – Azure CLI
Mount ADLS on to Azure Databricks to access files from Azure Blob Storage
Getting Started with Databricks on AWS
AWS Essentials for Databricks – Setup Local Development Environment on Windows
AWS Essentials for Databricks – Setup Local Development Environment on Mac
AWS Essentials for Databricks – Overview of AWS Storage Solutions
AWS Essentials for Databricks – Overview of AWS s3 and IAM Roles for Databricks
AWS Essentials for Databricks – Integrating AWS s3 and Glue Catalog
Setup Local Development Environment for Databricks
Using Databricks CLI
Spark Application Development Life Cycle
Databricks Jobs and Clusters
Deploy and Run Spark Applications on Databricks
Deploy Spark Jobs using Notebooks
Deep Dive into Delta Lake using Spark Data Frames on Databricks
Deep Dive into Delta Lake using Spark SQL on Databricks
Accessing Databricks Cluster Terminal via Web as well as SSH
Installing Softwares on Databricks Clusters using init scripts
Quick Recap of Spark Structured Streaming
Incremental Loads using Spark Structured Streaming on Databricks
Incremental Loads using autoLoader Cloud Files on Databricks
Overview of Databricks SQL Clusters

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5. Azure Data Factory for Beginners – Build Data Ingestion by David Charles Academy Udemy Course

Learn Azure Data Factory by building a Metadata-driven Ingestion Framework as an industry standard

As of right now, more than 4080+ people have enrolled in this course and there are over 441+ reviews.

Course Content

Inroduction – Build your first Azure Data Pipeline
Metadata Driven Ingestion
Event Driven Ingestion

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6. Data Engineering on Google Cloud platform by Siddharth Raghunath Udemy Course

“End to end batch processing,data orchestration and real time streaming analytics on GCP”

As of right now, more than 3527+ people have enrolled in this course and there are over 406+ reviews.

Course Content

“Introduction and Overview
Batch Processing and ETL using BigQuery,Spark and Airflow / Google composer
Batch Data ingestion using Apache Sqoop and Apache Airflow / Google Composer
Kafka Crash Course
Real-Time Streaming and Analytics using Spark Structured Streaming with Kafka
Real-Time Streaming with streaming files as source of data with IOT sensor data
Update – BigQuery / CLoudSql – Federated Queries”

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7. Data Engineering on Microsoft Azure: The Definitive Guide by Wadson Guimatsa Udemy Course

“Hands-On Introduction to Azure Data Services. Learn Data Factory, Synapse Analytics, SQL Database, and more”

As of right now, more than 1346+ people have enrolled in this course and there are over 138+ reviews.

Course Content

Introduction – Understanding Core Data Concepts
Azure SQL – Introduction
Azure Blob Storage – Introduction
Azure Data Factory – Core Concepts
Practice Section: Build an ETL Pipeline with Azure Data Factory
Azure Synapse Analytics – Serverless SQL pool
Azure Synapse Analytics – Serverless Apache Spark pool
Azure Synapse Analytics – Dedicated SQL Pool

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8. Data Engineering using Kafka and Spark Structured Streaming by Durga Viswanatha Raju Gadiraju Udemy Course

A comprehensive Data Engineering course on building streaming pipelines using Kafka and Spark Structured Streaming

As of right now, more than 971+ people have enrolled in this course and there are over 56+ reviews.

Course Content

Introduction
Getting Started with Kafka
Data Ingestion using Kafka Connect
Overview of Spark Structured Streaming
Kafka and Spark Structured Streaming Integration
Incremental Loads using Spark Structured Streaming
Setting up Environment using AWS Cloud9
Setting up Environment – Overview of GCP and Provision Ubuntu VM
Setup Single Node Hadoop Cluster
Setup Hive and Spark
Setup Single Node Kafka Cluster

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9. Data Engineering with Python by Academy of Computing & Artificial Intelligence Udemy Course

Learn the skills to become a Data Scientist [ Data Science A – Z ]

As of right now, more than 351+ people have enrolled in this course and there are over 44+ reviews.

Course Content

Setting up Python
Python Theory
Software Design
Python Tutorials
Setting up the Environment for Machine Learning
Understanding Data With Statistics & Data Pre-processing
Data Visualization with Python
Artificial Neural Networks [Comprehensive Sessions]Naive Bayes Classifier with Python [Lecture & Demo]Linear regression
Logistic regression
Introduction to clustering [K – Means Clustering ]Extra Reading

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10. Learn AWS Data Engineering by Tushar Bhalla Udemy Course

ETL & BI on AWS Cloud

As of right now, more than 204+ people have enrolled in this course and there are over 47+ reviews.

Course Content

Introduction
Data Engineering Services
Live Demos

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Here are some frequently asked questions about learning Data Engineering

How Long Does It Take to Learn Data Engineering?

The answer to the question “How long does it ttake to learn Data Engineering” is … it depends. Everyone has different requirements, and everybody is operating in different circumstances, so the answer for someone may be entirely different than for another person.

Consider these questions: What are you trying to Learn Data Engineering for? Where is your beginning point? Are you a newbie or do you have experience with Data Engineering? How much can you practice? 1 hour daily? 40 hours weekly? Check out this course about Data Engineering.

Is Data Engineering Easy Or Hard to Learn?

No, learning Data Engineering isn’t hard for the majority of people. Check this course on how to Learn Data Engineering in no time!

How to Learn Data Engineering Fast?

The fastest method to Learn Data Engineering is to first get this Data Engineering course, then practice whatever you learn whenever you can. Even if its just 15 minutes a day of practice. Consistency is key.

Where to Learn Data Engineering?

If you want to explore and learn Data Engineering, then Udemy provides you the best platform to learn the Data Engineering. Check this course on how to Learn Data Engineering in no time!

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