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LinkedIn Learning

Transition from Data Science to Data Engineering

via LinkedIn Learning

Overview

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Make the shift from data scientist to data engineer in this skills-based career development course.

Syllabus

Introduction
  • Becoming a data engineer
1. 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
2. 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
3. Data Processing, Security, and Compliance
  • Data pipelines and the ETL process
  • Different types of pipelines
  • Importance of data security and measures to be taken
4. Cloud Computing for Data Engineers
  • Introduction to cloud computing
  • Various cloud platforms to explore
5. 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

Taught by

Pooja Jain

Reviews

4.6 rating at LinkedIn Learning based on 96 ratings

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