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Data Engineering Foundations Professional Certificate by Astronomer

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Overview

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Data engineering is essential for organizations to harness the power of their data. This learning path teaches the in-demand skills—SQL, Python, Apache Airflow®, data warehousing, data governance, and more—needed to solve complex data challenges. Through hands-on practice and real-world scenarios, you can gain the technical expertise to design and implement scalable data solutions. Tune in, pass the final exam, and earn your certificate.

This certificate is endorsed by Astronomer, a leader in modern data orchestration. Continue your learning journey by exploring Astronomer Academy and attaining an Apache Airflow® certification.
  • Explore SQL fundamentals for querying relational databases.
  • Practice Python programming for data engineering tasks.
  • Discover Apache Airflow for orchestrating data pipelines.
  • Describe key concepts in data warehousing and governance.

Syllabus

Courses under this program:
Course 1: Learning SQL Programming
-Learn the basics of SQL, the programming language for retrieving and editing data from databases such as SQL Server, MySQL, MariaDB, and PostgreSQL.

Course 2: Complete Guide to Python for Data Engineering: From Beginner to Advanced
-Practice fundamental skills using Python for data engineering in this hands-on, interactive course with coding challenges in CoderPad.

Course 3: Hands-On Introduction: Data Engineering
-Discover and apply the fundamentals of data engineering in this hands-on, approachable, skills-based course.

Course 4: Learning Apache Airflow
-Get an introduction to Apache Airflow—its uses, structure, how to get it up and running, and how to create and execute workflows.

Course 5: 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 6: Learning Data Governance
-Understand why data governance is an essential part of helping every organization succeed in the era of big data and data science.

Taught by

Scott Simpson, Deepak Goyal, Vinoo Ganesh, Janani Ravi and Jonathan Reichental, Ph.D.

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