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.

Data Engineering with Python
Course ID: WA2905
Delivery: On-Site or Instructor-led Virtual

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.

Data Engineering for Managers
Course ID: WA2922
Delivery: On-Site or Instructor-led Virtual

Data Engineering for Managers Training.

Operational Data Analytics with Splunk
Course ID: WA2952
Delivery: On-Site or Instructor-led Virtual

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.

Cloud Data Engineering with NiFi on AWS or GCP
Course ID: TP2913
Delivery: On-Site or Instructor-led Virtual

This course is intended for students looking to learn data processing on the cloud with Apache NiFi - a visually programmed software tool that automates the movement and transformation of data between systems. Course material will cover data engineering theory and practical development advice.

Data Engineering, ETL and DataOps
Course ID: WA3385
Delivery: On-Site or Instructor-led Virtual

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.