Data is the backbone of AI and analytics, and data engineering is the key to unlocking its potential. This course provides a comprehensive, no-code approach to data ingestion, transformation, and pipeline creation—helping you build the essential data infrastructure needed for AI and machine learning applications.
What You’ll Learn:
✅ Introduction to Data Engineering – Understand the role of data engineering in AI and analytics.
✅ Data Ingestion – Learn how to collect and import data from various sources.
✅ SQL for Data Engineering – Master the fundamentals of SQL for querying and managing data.
✅ Data Transformation – Clean, process, and structure data for machine learning.
✅ Exploratory Data Analysis (EDA) – Discover insights and trends in your data.
✅ Data Lake, Data Warehouse & Emitters – Understand different data storage and distribution strategies.
✅ End-to-End Data Pipeline Creation – Build seamless workflows to prepare data for AI solutions.
By the end of this course, you'll be equipped with the skills to build robust data pipelines—without writing a single line of code. Start your journey today! 🚀