Transition from Data Science to Data Engineering

Course details

You need to know how to transform your data if you really want to mine it for insights. In this course, instructor Pooja Jain shows you how to take your skills to the next level as a data scientist and become a data engineer.

Explore the fundamentals of data engineering and the projected employment prospects of the role. Get a comprehensive overview of the data repository, including the pros, cons, and different aspects of the data warehouse and the data lake. Pooja offers insights on data processing, security, and compliance as well as cloud computing for data engineers. By the end of this course, you’ll be equipped with the technical know-how and skills you need to make the shift from data scientist to data engineer with ease.

Concepts

Introduction

Becoming a data engineer

Fundamentals of Data Engineering

From data scientist to data engineer
How data science differs from data engineering
Using data to problem-solve
Role of a data engineer

Understanding the Data Repository

Introduction to data warehouse
Benefits and different aspects of data warehouse
Introduction to data lake
Benefits and different aspects of data lake

Data Processing, Security, and Compliance

Data pipelines and the ETL process
Different types of pipelines
Importance of data security and measures to be taken

Cloud Computing for Data Engineers

Introduction to cloud computing
Various cloud platforms to explore

Do Not Underestimate Data Quality and Data Governance

Why is data quality important
Why is data governance important

Conclusion

Shift from data scientist to data engineer