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LinkedIn Learning

Explore a Career in Data Engineering

via LinkedIn Learning Path

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Overview

Begin your career working with core data engineering tools and platforms. This foundational learning path will take you from fundamental data engineering concepts and skills to implementing a full data pipeline.
  • Learn core data engineering skills.
  • Explore data processing engines, data warehouses, and more.
  • Use your data engineering skills to build data pipelines.

Syllabus

Courses under this program:
Course 1: Data Engineering Foundations
-Learn the key facets of data engineering, from its place in the data science realm, to the specific tasks and skills every data engineer should possess.

Course 2: Hands-On Introduction: Data Engineering
-Discover and apply the fundamentals of data engineering in this hands-on, approachable, skills-based course.

Course 3: Introduction to Data Warehouses
-Discover the basics of data warehouses, how they function and differ from other solutions, and how to implement them in your current or future role.

Course 4: Learning SnowflakeDB
-Learn how to use Snowflake, the cloud-based data warehouse and data management platform that includes AWS, Azure, BigQuery, and more.

Course 5: Apache Kafka Essential Training: Getting Started
-Learn about the fundamental concepts and basic operations of Apache Kafka, a leading technology for real-time streaming capabilities.

Course 6: Transition from Data Science to Data Engineering
-Make the shift from data scientist to data engineer in this skills-based career development course.

Courses

Taught by

Harshit Tyagi, Vinoo Ganesh, Deepak Goyal, Lynn Langit, Kumaran Ponnambalam and Pooja Jain

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