Apr 1, 2023

Top 8 Best Data Engineering Courses in 2023

With the increase in Data consumption across various platforms there is a huge demand for Data engineers, who can design and build infrastructures that collects, stores, processes, and analyses large amounts of data. This involves creating efficient data pipelines and databases to ensure the data is accurate, reliable, and easily accessible. As a data engineer, you'll work with programming languages, database management systems, and big data technologies to ensure that data is properly organized and can be analysed effectively. It's a challenging and exciting field with a lot of growth potential in today's data-driven world. So start your Data Engineer journey with these free courses offered by various platforms

8 Free Best for Data Engineering to learn

1. Data Engineering, Big Data, and Machine Learning on GCP Specialization

Author : Coursera

Duration : Approximately 4 months to complete (suggested pace of 3 hours/week)

Skill level : Intermediate level (some related experience required)

About the course : This program consists of 5 courses and it provides the skills you need to advance your career and provides training to support your preparation for the industry-recognized Google Cloud Professional Data Engineer certification.

Skills you will gain : Tensor flow, Big query, Google Cloud Platform, Cloud Computing

Fee : Free

Completion Certificate : Yes

2. How to become a Data Engineer - Roadmap Based course

Author : Coursera

Duration : approximately 2.5 years

Skill level : Entry level, Intermediate level and Advanced level

About the course :

This course is divided into three level and each level consists of various courses summing up to 30 courses.

Skills you will gain : SQL, Business intelligence, Data analysis, Tableau, Python, Software development, JavaScript, Big Data, ETL.

Fee : Free

Completion Certificate : Yes

3. Big Data Specialization

Author : Coursera

Duration : Approximately 8 months

Skill level : Beginner

About the course: If you want to explore how Big data impacts your business, then this is the course for you. You will gain an understanding of what insights big data can provide through hands-on experience with the tools and systems used by big data scientists and engineers.

Skills you will gain : Big Data, Neo4j, Mongodb, Apache Spark, Apache Hadoop, Map reduce, Cloudera, Data Model, Data Modeling, Data Management, Splunk, Machine Learning Concepts.

Fee : Free

Completion Certificate : Yes

4. Data Warehousing for Business Intelligence Specialization

Author : Coursera

Duration : Approximately 8 months (suggested pace of 8 hours/week)

Skill level : Advanced Level

About the course : In this course you will evaluate business needs, design a data warehouse, and integrate and visualize data using dashboards and visual analytics.

Skills you will gain : Pentaho, Data Visualization (DataViz), Data Warehouse, SQL, Database (DB) Design, Entity–Relationship (E-R) Model, Database (DBMS), Extraction, Transformation And Loading (ETL), Data Integration, Data Warehousing, Materialized View, Business Intelligence.

Fee : Free

Completion Certificate : Yes

5. Data Engineering Basics for Everyone

Author : Edx

Duration : Approximately 4 weeks

Skill level : Beginner

About the course : The objective of this course is to give you a solid understanding of what Data Engineering is and there are 4 modules to get you started in your data engineering journey.

Skills you will gain : Data pipelines, RDBMS, NoSQL, Data Warehouses, Data Marts, and Data Lakes, ETL, ELT, Big Data processing tools: Hadoop, HDFS, Hive, and Spark.

Fee : Free

Completion certificate : No

6. Apache Spark for Data Engineering and Machine Learning

Author : Edx

Duration : Approximately 3 weeks

Skill level : Intermediate

About the course : In this course you will learn the features, benefits, limitations, and application of Apache Spark Structured Streaming, Describe Graph theory and explain how Graph Frames benefits developers and more here.

Skills you will gain : Apache Spark, ETL for ML Pipelines, Spark ML for Machine Learning.

Fee : Free

Completion certificate : No

7. Python for Data Engineering Project

Author : Edx

Duration : 1 week

Skill level : Intermediate

About the course : Python is the bread and butter for almost every Data professional simply because of its easy to read and straight forward syntax. And in this course you will exercise various techniques in Python to extract data in multiple file formats from different sources, transform it into specific datatypes, and then prepare it for loading it into a database. You will perform these tasks with the help of multiple hands-on labs using Jupyter note books and IBM Watson Studio.

Skills you will gain : Python, Web scraping, data extraction, API, Jupyter notebooks.

Fee : Free

Completion Certificate: No

8. Google Cloud Fundamentals 101: A quick guide to learn GCP

Author : Udemy

Duration : 1hr 46 min

Skill level : Beginner

About the course : This is an introductory course on google cloud fundamental. You will learn about cloud computing and different cloud computing models plus hands on important GCP services.

Skills you will gain : Cloud computing, Cloud computing models, Google cloud platform(GCP)

Fee : Free

Completion Certificate : No

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