Data engineering is a software engineering practice with focus on design, development, and the productionizing of data processing systems. It includes all the practical aspects of data acquisition, transfer, transformation, and storage on-prem or in the cloud.
This intensive hands-on training course teaches the students how to apply Python to the practical aspects of data engineering and introduces the students to the popular Python libraries used in the field, including NumPy, pandas, Matplotlib, scikit-learn, and Apache Spark.
Developers, Software Engineers, Data Scientists, and IT Architects
Participants are expected to have practical experience coding in one or more modern programming languages. Knowledge of Python is desirable but not necessary. The students are expected to be able to quickly learn the new material, reinforce the knowledge of a learned topic by doing programming exercises (labs), and then apply their knowledge in data engineering mini projects.
Course Cost listed does not include the cost of courseware. Course is subject to a minimum enrollment to run. Course may run virtually as a Virtual Instructor-Led (VILT) class if the minimum enrollment is not met. For more information, please contact 207-775-0244 or email: firstname.lastname@example.org.