Team Sep 05, 2024 No Comments
Joining a data engineering course is the best way to launch your data career.
It not only helps you learn industry-relevant skills like how to collect, store, and process data but also gain practical experience with projects and case studies. Some courses even help you land jobs through resume-building sessions, soft skills classes, and mock interviews.
But with so many courses out there, finding the right one can be overwhelming.
That’s why I have put together this list of the six best courses for data engineering to help you get started. Keep reading to find the course that suits your needs best.
A data engineer designs, develops, and maintains the systems and infrastructure needed for processing, storing, and analyzing massive datasets. They are the backbone of data-driven organizations that need data to make smart decisions. So, here are some courses that can kickstart your career as a data engineer:
This is one of the best data engineering courses that makes you a job-ready candidate. Provided by Ivy Professional School and E&ICT Academy, IIT Guwahati, this course is your opportunity to learn from IIT professors and experts from Amazon, Google, Microsoft, etc.
You can attend this 45-week course live online or in a physical classroom. Either way, you will get to interact with industry-expert instructors and clear your doubts.
The course covers high-value data engineering, AI, and ML skills with tools like Azure, Hive, MongoDB, Spark, and more. You will work on 30+ real-life projects where you will implement your knowledge and gain practical experience.
The course also provides you with essential job-oriented skills such as resume building, LinkedIn profile building, networking, communication, and success in interviews. And after you complete the program, you receive a reputed certificate from E&ICT Academy IIT Guwahati, IBM, and NASSCOM.
This 16-course series by IBM on Coursera is one of the most comprehensive data engineering certification programs. It lets you learn at your own pace and finish the courses in 6 months at a rate of 10 hours a week.
You don’t need any prior data engineering experience, as experts from IBM will teach you everything from scratch. You will learn in-demand skills like NoSQL and Big Data using MongoDB, Cassandra, Cloudant, Hadoop, Apache Spark, etc. The program also teaches you how to implement ETL & data pipelines, build data warehouses, and create BI reports and interactive dashboards.
The specialization also gives access to soft skill sessions, resume review, interview preparation, and career support. Finally, you will earn a valuable IBM certification upon completion of the courses.
This 32-week course, provided by Simplilearn and Purdue University Online, is best for professionals. It can help you master data engineering and make successful career transitions, boost career growth, or get salary hikes.
The 150+ hours of core curriculum are delivered by professionals with decades of industry experience. You will learn useful skills like real-time data processing, data pipelining, big data analytics, data visualization, data protection, data governance, etc. You also learn tools like Python, SQL, NoSQL, Snowflake, AWS, Azure, etc.
The course lets you work on 14+ projects and multiple case studies so that you can implement your knowledge in real-world business problems. Upon completion of the course, you earn a joint completion certificate from Purdue University and Simplilearn.
This is one of the best data engineering certifications, and it includes six courses provided by Google Cloud on Coursera. It’s an intermediate-level course, so you will need an understanding of query languages like SQL and how to develop apps using common programming languages.
The program starts with machine learning fundamentals, covers modernizing data lakes and data warehouses, and teaches how to build batch data pipelines. You also learn to build resilient streaming analytics systems and explore topics like smart analytics and AI.
Google Cloud provides all the training and certifications, helping you gain skills and build credibility. The course also helps you prepare for the Google Cloud Certification exam.
Related: Data Engineer vs. Data Scientist
This course by Udemy teaches the basics of data engineering, focusing on building data pipelines using tools like SQL, Python, and Apache Spark. This is an online course with 56 hours of recorded videos, two articles, and one downloadable resource.
You will learn how to write and optimize SQL queries, use Python for data processing with Pandas, build and troubleshoot data engineering applications, work with Spark SQL for big data processing, and set up and tune Spark environments on Google Cloud.
The data engineering course is perfect for IT students, database developers, BI developers, and professionals looking to transition into data engineering.
This is a two-month online program by Udacity that consists of 7 courses. The courses cover a range of key areas, including building data infrastructure, managing large datasets, and optimizing data workflows.
You will learn how to design and implement data models, construct efficient and scalable data warehouses, build ETL (Extract, Transform, Load) pipelines, and understand data lakes. Additionally, the course provides hands-on experience with tools like Apache Spark, Apache Airflow, and AWS. This way, you can apply what you learn in real-world scenarios.
This course isn’t suitable for absolute beginners. You would need a basic knowledge of relational databases, command line interfaces, and Amazon Web Service, as well as intermediate-level knowledge of Python and SQL.
Next, you can read this post to know how you can become a data engineer or watch this video:
Joining a comprehensive course lets you become an expert in a short time. Whether you are a beginner or a professional, you can go through the above best data engineering courses carefully to see which one fits your requirements. They will surely help you gain a deeper understanding of data engineering concepts, learn the industry’s best practices, stay updated with the latest technologies, and accelerate your career.
Prateek Agrawal is the founder and director of Ivy Professional School. He is ranked among the top 20 analytics and data science academicians in India. With over 16 years of experience in consulting and analytics, Prateek has advised more than 50 leading companies worldwide and taught over 7,000 students from top universities like IIT Kharagpur, IIM Kolkata, IIT Delhi, and others.
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