Data Engineering Training
Web Age's expert-led Data Engineering courses teach you to tackle critical data challenges head-on, from optimizing risk and performance to enhancing quality, forecasting with precision, and streamlining business processes through simulation.
This intensive hands-on Data Engineering 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.
This training course introduces the students to the Splunk Operational Data Analytics platform. About 70 percent of the course time is dedicated to hands-on exercises and projects that help the students gain practical experience of using Splunk in a variety of scenarios, including data onboarding and forwarding, real-time TCP port and directory monitoring, data querying and visualizations.
This Data Engineering course gives participants a solid foundation in ETL (Extract, Transform, Load), data processing technologies, data manipulation with Pandas, data visualization using Python, and the principles of DataOps (Data Operations). The course also covers Apache Spark, Spark SQL, and essential Python skills to give learners the fundamental skills required for data engineering and analytics roles.
