Data engineering is one of the best jobs in the world because it combines the satisfaction of solving complex problems with the ability to create real change.
In data engineering, you'll work with people from all over the world and have a hand in shaping how organizations make decisions. You'll be working on projects impacting people's lives and helping solve big problems like reducing traffic accidents or improving factory efficiency.
Data engineering also allows you to build strong relationships with people who share your interests and work ethic. You'll be able to collaborate with them on projects that are meaningful to both of you, which can lead to lifelong friendships and professional connections.
5 Top Data Engineering Courses to Help You Get Started
1. Simplilearn’s Professional Certificate Program in Data Engineering
Data Engineering is the fastest-growing field in the tech world and is a great place to be. It's also a field with plenty of room for advancement, which is why Simplilearn's Data Engineering certification course, in partnership with Purdue University & IBM, is the ideal program for professional exposure.
This applied learning program will help all master crucial Data Engineering skills, including building data pipelines, analyzing data using statistical programming languages like R and Python, and applying machine learning algorithms to real-world problems. You'll also learn how to create and deploy applications using popular frameworks like Hadoop and Spark.
If you're a college student or recent grad looking to get ahead in your career by acquiring highly sought-after skills that companies are clamoring for, and if you want to get paid more while doing it, this course is the perfect fit for you.
Learn Everything You Need to Know About Data!
Post Graduate Program In Data EngineeringExplore Course
2. Pluralsight’s Data Engineering with AWS Machine Learning
Data Engineering is for you if you want to become a data engineer or learn more about the field.
This course will teach you how to choose the right AWS service for each data-related machine learning ML task for any given scenario. During this period, you will explore the multiple data storage solutions available on AWS, as well as the uses for each one.
You will discover how AWS integrates data into ML-specific services as you proceed. Your last step will be to learn how to transform your raw data into a format that AWS Machine Learning can understand.
3. Dataquest’s Data Engineering Career Path
The Data Engineer Career Path from Dataquest will deepen your understanding of designing and implementing data engineering solutions for business organizations. You’ll learn about the fundamentals of data pipelines, data quality, and analytics and will cover topics such as recursion and trees, extensive data optimization, algorithms, and data structures.
You'll also learn how to build data pipelines using PostgreSQL for data engineering; this course will teach you critical concepts like SQL queries and subqueries that are the foundation of your future career.
Take advantage of this opportunity to develop the skills employers are looking for today in data engineering.
| Check Out: Key Data Engineer Skills and Responsibilities |
4. Microsoft Azure Data Engineering Associate DP-203 Exam Prep Specialization
If you're looking to take your career in data engineering to the next level, take the Microsoft Azure Data Engineering Associate Exam Prep Specialization course.
In this course curriculum, those without data engineering experience and those looking to enhance their skills will learn the fundamentals of data engineering and how to take their skills to the next level. You will gain real-world experience using real-world scenarios during the course that covers all topics on the exam.
Data processing and analytics are powerful features of Microsoft Azure. The Microsoft Azure Data Engineering Associate Exam Prep Specialization is ideal for anyone interested in learning about Microsoft Azure, like data lakes and operational analytics, or enhancing their exam preparation.
Learn Everything You Need to Know About Data!
Post Graduate Program In Data EngineeringExplore Course5. IIT Jodhpur Post Graduate Diploma in Data Engineering and Cloud Computing
Are you a data engineer who wants to take your career to the next level? If so, this course is perfect for you.
This postgraduate diploma in Data Engineering & Cloud Computing from IIT Jodhpur will help you learn the key technologies to generate data insights. You will be able to manage the complete lifecycle of a data engineering project with this course.
The course will give you hands-on experience building and deploying full-fledged applications that use cloud computing services and machine learning algorithms. You will also learn to use data science tools such as R, Python, or SQL to build machine learning models.
This course is ideal for entry-level graduates who want to kickstart their careers and experienced engineers who wish to make a career change.
Simplilearn's Professional Certificate Program in Data Engineering, aligned with AWS and Azure certifications, will help all master crucial Data Engineering skills. Explore now to know more about the program.
Conclusion
You know that you're good at what you do, but have you ever considered how much better your career could be if you were a little bit better?
If you're interested in boosting your career and getting paid more, this is the course for you.
With Simplilearn’s Data Engineering Certification Program, we've partnered with Purdue University & IBM to bring you the best training available on data engineering.
Our curriculum has been developed by industry experts from both sides of the fence and will help ensure that your knowledge is up-to-date and relevant.
FAQs
1. Which is the best course for data engineering?
It can be hard to find the right course if you're looking to get into data engineering.
There are many different options out there, and they all have pros and cons. Simplilearn’s Data Engineering certification program is a complete program for real-world skills.
2. Is Python enough for data engineering?
Python is the language of choice for data engineering, but it's not the only one.
3. Is SQL enough for data engineers?
More than SQL is needed for data engineers.
To store and analyze data efficiently, you need to know more than just SQL. You must also understand how to use other tools like MapReduce, Apache Pig, and Apache Hive. These tools allow you to process large amounts of data quickly and efficiently, which is essential in a world where we are constantly inundated with more data than ever before.
4. Is data engineering a high-paying job?
Data engineering is a high-paying job.
Data engineers can make over $100,000 per year.
5. What is the highest salary of a data engineer?
It's a well-known fact that salaries for data engineers vary by location, experience, and skill level. Data engineers who have worked in the field for many years can earn upwards of $170,000. However, if you're just starting as a data engineer, expect to earn about $120,000 annually.
6. What prerequisites are needed for a data engineering course?
To take a data engineering course, you will need to have some level of experience in programming. You should know at least one programming language and be familiar with the concepts of variables and functions. You should also have some experience with SQL databases and how they work.
7. Are data engineering courses worth the cost?
The answer is yes! We've found that data engineering courses can be expensive, but they're usually worth the price. Here's why:
- You'll learn from professionals who have been in the industry for years and have seen it all before.
- You'll learn about tools and techniques to help you be more effective in your work.
- You'll develop a better understanding of how things work in this industry so that when you're ready to start applying for jobs or going out on interviews (or even just talking with friends at parties), you can impress them with how much knowledge you have about data engineering careers!
