Data Engineer

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! 

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The Data Engineer Program is created to help new graduates, IT professionals, and career switchers break into data engineering. The learning package includes 24 weeks of training. The part-time option is excellent for working professionals who want to keep their daytime job and commit to learning new skills on weekday evenings and during the weekends.
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

Career perspective

Roles and Responsibilities

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Introduction to programming concepts

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Python syntax and basic concepts

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Handling data and file operations in Python

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Introduction of relational and non-relational databases

Window functions, aggregations, data wrangling

Data analysis techniques

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Understanding data warehousing and data lakes

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Introduction to cloud platforms (Azure, AWS, GCP)

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Introduction to Hadoop ecosystem and Spark

Learning HDFS, MapReduce, Hive, Databricks, etc

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Data extraction, transformation, and loading

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Utilizing Numpy, Pandas, RDD, Spark Dataframe

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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.

Course scheduling options vary, from self-paced learning that allows flexibility to fixed schedules with set class times. The availability of courses and their timing is contingent on student availability.
Course Label
Course Label
Advance
Language
Language
English
Duration
Duration
28h 30m
Certificate
Certificate
Yes