Data scientists analysis data with the help of mathematics, statistics and machine learning techniques. But a typical data scientist does not have in-depth knowledge of how to model data for interpretation. Here’s where data engineers come into play. Data engineers design and set up analytics databases and data pipelines to transform data in a format that enables data scientists to use it readily.
The global big-data and data engineering services market is expected to grow from USD 39.50 billion in 2020 to USD 87.37 billion by 2025, at a CAGR of 17.6%.To make the most of this opportunity, premier institutions, universities and online educational platforms have launched data engineering courses.
Here, let’s take a look at a few data engineering courses available in India:
Post Graduate Diploma in Data Engineering and Cloud Computing, IIT Jodhpur
It is a 12-month PG diploma program that helps master the key technologies involved in generating insights from data to solve today’s complex social and business challenges. The curriculum combines live sessions with campus immersion to help learners hone high-in-demand skills such as big data engineering, cloud computing, and machine learning. Students will be able to understand the basics of big data and design and implement appropriate storage and processing techniques for big data, develop and implement cloud deployment strategies for big data applications and derive insights from big data using supervised and unsupervised learning techniques.
Post Graduate Program in Data Engineering, Indian Statistical Institute
The ‘Post Graduate Program in Data Engineering’ is a 4-month online course that students can avail through the online education platform ‘Edu plus now’. The course will allow students to gain expertise in SQL, MongoDB, Big data, Hadoop, Cloud, Python, and Spark software tools and frameworks. The program is designed to equip the students with knowledge about functional analysis, SQL, statistical analysis, data mining, regression modelling, hypothesis testing, and predictive analytics. In addition, the learners will understand machine learning techniques using R, deep learning, aspects of neural networks, and natural language processing. In the training process, the candidates can work with projects from industry-relevant domains to get hands-on experience.
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Duke University offers this course on Coursera. This intermediate-level online course will enable candidates to apply cloud computing to data science, machine learning and data engineering. Also, the candidates will learn how to use software development best practices to create data engineering applications. This course includes a project on building a serverless data engineering pipeline in a Cloud platform: Amazon Web Services (AWS), Azure or Google Cloud Platform (GCP).
The course is designed to provide practical solutions to real-world use cases regarding data engineering on the Cloud. The course offers end-to-end batch processing, data orchestration and real-time streaming analytics on GCP. The candidates will learn how to load data into a data-warehousing tool on GCP (BigQuery)
This 7-month online PGP Certification in Data Engineering will provide students with in-depth knowledge in SQL, Python, data pipelines, data transformation, Spark, and cloud services of AWS and Azure. The course will enable students to work on multiple real-world projects to gain knowledge on creating production-ready ETL (extract, transform and load) and pulling data from multiple data sources, including real-time streaming services, and loading them into cloud data warehouses.
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