According to Statista, by 2025 the size of the big data market will grow to 175 zettabytes against 41 in 2019 (). To get a job in this field, you need to understand how to work with big data stored in the cloud. Cloud4Y has prepared a list of 12 paid and free data engineering courses that will expand your knowledge in this area and can be a good starting point on the road to cloud certifications.
foreword
What is a Data Engineer? This is the person who is responsible for creating and maintaining the data architecture in a Data Science project. His responsibilities may include ensuring the smooth flow of data between the server and the application, integrating new data management software, improving underlying data processes, and creating data pipelines.
There are a huge number of technologies and tools that a data engineer must master in order to work with cloud computing, data warehouses, ETL (extraction, transformation, loading), etc. Moreover, the number of required skills is growing all the time, so a data engineer needs to regularly replenish his luggage knowledge. Our list includes courses for beginners and experienced professionals. Choose what suits you.
1. Data Engineering Nanodegree Certification ()
You will learn how to design data models, create data warehouses and data lakes, automate data pipelines, and work with arrays of datasets. At the end of the program, you will test your new skills by completing the Capstone project.
Duration: 5 months, 5 hours per week
Language: English
Price: $ 1695
Level of: initial
2. Become a Data Engineer Certification ()
Learn from the basics. You can progress step by step using lectures and practical projects to work on your skills. By the end of the tutorial, you will be ready to work with ML and big data. It is recommended that you have at least a basic knowledge of Python.
Duration: 8 months, 10 hours per week
Language: English
Priceπ
Level of: initial
3. Become a Data Engineer: Mastering the Concepts ()
You will develop data engineering skills and DevOps skills, learn how to create applications for Big Data, create data pipelines, process applications in real time using Hazelcast and a database.
Duration: Depends on you
Language: English
Price: first month free
Level of: initial
4. Data Engineering Courses ()
Here is a series of programs that introduce you to data engineering and teach you how to develop analytical solutions. The courses are categorized according to difficulty level, so you can choose one according to your level of experience. During the course, you will learn how to use Spark, Hadoop, Azure and manage enterprise data.
Duration: Depends on you
Language: English
Price: depends on the chosen course
Level of: beginner, intermediate, advanced
5. Data Engineer ()
This course is worth choosing if you have experience with Python and want to deepen your knowledge and build a career as a data scientist. You will learn how to build data pipelines using Python and pandas, how to load large datasets into a Postgres database after cleaning, transforming and validating.
Duration: Depends on you
Language: English
Price: depends on subscription form
Level of: beginner, intermediate
6. Data Engineering with Google Cloud ()
This course will help you build the skills you need to build a career in big data. For example, working with BigQuery, Spark. You'll gain the knowledge you need to prepare for the industry-recognized Google Cloud Professional Data Engineer certification.
Duration: 4 months
Language: English
Price: free for now
Level of: beginner, intermediate
7. Data Engineering, Big Data on Google Cloud Platform ()
An interesting course that gives practical knowledge about data processing systems in GCP. During the classes, you will learn how to design systems before starting the development process. Apart from this, you will also analyze both structured and unstructured data, apply automatic scaling, and apply ML techniques to extract information.
Duration: 3 months
Language: English
Price: free for now
Level of: beginner, intermediate
8. UC San Diego: Big Data Specialization ()
The course is based on using the Hadoop and Spark framework and applying these big data processing techniques to the ML process. You will learn the basics of using Hadoop with MapReduce, Spark, Pig and Hive. Learn how you can build predictive models and use graph analytics to model problems. Please note that no programming experience is required for this course.
Duration: 8 months, 10 hours a week
Language: English
Price: free for now
Level of: initial
9. Taming Big Data With Apache Spark and Python ()
You will learn how to use streaming structure and dataframes in Spark3 and get an idea of ββhow to use Amazon's Elastic MapReduce service to work with your Hadoop cluster. Learn to identify problems in big data analysis and understand how GraphX ββlibraries work with network analysis and how you can use MLlib.
Duration: Depends on you
Language: English
Price: from 800 rubles to $149,99 (as you're lucky)
Level of: beginner, intermediate
10. PG Program in Big Data Engineering ()
This course will give you an understanding of how Aadhaar works, how Facebook personalizes the news feed, and how you can use Data Engineering in general. The key topics will be data processing (including real-time processing), MapReduce, big data analytics.
Duration: 11 months
Language: English
Price: around $3000
Level of: initial
11. Profession Data Scientist ()
You will learn how to program in Python, learn the frameworks for training neural networks Tensorflow and Keras. Master MongoDB, PostgreSQL, SQLite3 databases, learn how to work with Pandas, NumPy and Matpotlib libraries.
Duration: 300 hours of training
Language: Russian
Price: first six months free, then 3900 rubles per month
Level of: initial
12. Data Engineer 7.0 ()
Deep learning of Kafka, HDFS, ClickHouse, Spark, Airflow, lambda-architecture and kappa-architecture awaits you. You will learn how to connect instruments to each other, forming pipelines, getting a baseline solution. A minimum knowledge of Python 3 is required to learn.
Duration: 21 lessons, 7 weeks
Language: Russian
Price: from 60 to 000 rubles
Level of: initial
If you have a desire to add another good course to the list, you can unsubscribe in the comments or in the PM. We will update the post.
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Source: habr.com