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

0. Introduction

01 - Becoming a data engineer

1. Fundamentals of Data Engineering

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

2. Understanding the Data Repository

06 - Introduction to data warehouse
07 - Benefits and different aspects of data warehouse
08 - Introduction to data lake
09 - Benefits and different aspects of data lake

3. Data Processing, Security, and Compliance

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

4. Cloud Computing for Data Engineers

13 - Introduction to cloud computing
14 - Various cloud platforms to explore

5. Do Not Underestimate Data Quality and Data Governance

15 - Why is data quality important
16 - Why is data governance important

Conclusion

17 - Shift from data scientist to data engineer