The Applied Data Engineering Certificate Program is created to help new graduates, IT professionals, and career switchers break into data engineering. The learning package includes six months of training and job support after graduation. The part-time option is excellent for work professionals who want to keep their daytime job and commit to learning new skills on weekday evenings and during the weekends. The full-time option also comes with real client projects to help you quickly build up relevant experience.
This program is not created for the faint-hearted. Though it’s intense and requires big commitments, the learning outcome will be very rewarding!
This program is not for the faint-hearted. Though it’s intense and requires big commitments, the learning outcome will be very rewarding!
Overview of Data engineering field
Roles and Responsibilities
Introduction to programming concepts
Python syntax and basic concepts
Handling data and file operations in Python
Introduction of relational and non-relational databases
Window functions, aggregations, data wrangling
Data analysis techniques
Understanding data warehousing and data lakes
Introduction to cloud platforms (Azure, AWS, GCP)
Introduction to Hadoop ecosystem and Spark
Learning HDFS, MapReduce, Hive, Databricks, etc
Data extraction, transformation, and loading
Utilizing Numpy, Pandas, RDD, Spark Dataframe
Applying learned concepts in a practical project
Workflow scheduling using Airflow
Introduction to cloud-based data engineering
Handling and processing streaming data with Kafka
Data Transformation, Data Build Tool (DBT)
Utilizing DBT for data transformation
Advanced SQL concepts
Creating dashboards and reports with visualization tools
(Tableau, PowerBI, Looker, Quick-sight)
Introduction to Docker and data operations
Understanding data lake house, data mesh, data fabrics
Ensuring data quality, observability, governance, and security
Applying knowledge to a comprehensive capstone project
Real-life industry-level projects.
Data Engineer Expert
Rajiv Luitel is a highly experienced data engineer with a proven track record in the industry. With over 6 years of hands-on experience, he has successfully led data-driven projects, developed cutting-edge models, and provided strategic data insights across diverse sectors, making him a trusted authority in the field. Rajiv’s practical industry expertise is a valuable asset to our data science training programs.