Given the huge amount of data that is being produced every second, there is a rising demand for Data Engineers who could store, organise, and manage the ever-increasing amount of data. To help aspiring data engineers capitalise on this unparalleled opportunity, Udacity, the Silicon Valley-based lifelong learning platform, has launched Data Engineering Nanodegree Programme.
The programme is 5-month-long if students spend approximately 5-10 hours per week. The course curriculum has been made in collaboration with professionals from companies, including Insight Data Engineering, Slack, Stitchfix, and Uber.
During the programme, participants will learn to create scalable and efficient data warehouses, identify the appropriate use cases for different big data technologies, and work efficiently with massive datasets, in addition to learning how to work with specific tools and automate the management and analysis of data.
Sam Nelson, Product Lead, School of Data Science, Udacity, said, “Students who take this programme will learn the technical skills required to become a data engineer … Companies all over the world are looking for data engineers and our goal is to help anyone who wishes to land a job in the field do so.”
The programme is divided into four courses, namely Data Modeling, Cloud Data Warehouses, Data Lakes with Apache Spark and Data Pipelines with Apache Airflow. Along with learning about these key concepts and tools pertaining to data engineering, participants will also get relevant and extensive practical exposure to the application of these concepts through various projects following each course, access to a mentor to help effective learning outcomes, benefit of student community and quality career services. — TNS