Data Engineering using Python

This program is intended for Data Engineers and Data Scientists working towards building skills in AI and Machine Learning. Through hands-on labs and programming exercises this course helps students build a strong foundation in mastering the entire data pipeline - data preparation, standardization, transformation, data warehousing and analytics.

The following topics will be covered in this course

Data Structure and Data Lifecycle
Operational Systems
Analytical Systems
Data Warehouse/Data Mart/Data Lakes
Users in the Data Platform
Dimensional Modeling
Types of Dimensions
Types of Measures
ETL Transformations
Pipeline Concepts and scheduling overview
Usage of Analytical systems for Data Analysis and Machine Learning

The course will also prepare students for the PCED (Certificed Entry Level Data Analyst using Python) exam offered by Python. This certification demostrates an individual's hand-on skills in Python for data acquisition, data cleaning, and standardization techniques as well as foundational programing and database management. The course fee does not include the fee for the exam.