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Databricks Essentials

Master unified analytics for modern data teams. Become Databricks-certified in 8 weeks!

What You Will Learn?

This hands-on course will teach you how to leverage Databricks for streamlined data workflows, advanced analytics, and scalable machine learning. You’ll master ETL processes, build robust data pipelines, and deploy AI models on the Databricks platform. By the end of the course, you’ll have completed real-world projects, gained proficiency in Unified Analytics, and built a portfolio showcasing your expertise in data engineering and AI.

Skills You'll Gain

  • Databricks Platform
  • Delta Lake
  • Spark SQL
  • ETL Optimization
  • MLflow
  • PySpark
  • Data Pipelines
  • Collaborative Notebooks
  • Cluster Management

Pre-Requisites

  • Basic Python or SQL knowledge
  • Familiarity with data concepts (helpful but not required)
  • Laptop capable of running Databricks Community Edition

Course Includes

▷ 30+ Video Lectures 💡 15+ Quizzes and Assignments
☁️ Discussion and Q&A Forums 📥 Downloadable Resources
📜 Certification upon completion

Modules & Lessons

Module 1: Unified Analytics Foundation (Weeks 1-2)

  • Navigate Databricks workspace and notebooks
  • Process data with PySpark and Spark SQL
  • Build Delta Lake tables for ACID compliance
  • Case Study: Migrate legacy ETL to Databricks

Module 2: Data Engineering at Scale (Weeks 3-5)

  • Design optimized data pipelines
  • Automate ETL with Databricks Jobs
  • Implement medallion architecture
  • Capstone: Build a retail data warehouse

Module 3: Machine Learning (Weeks 6-8)

  • Track experiments with MLflow
  • Deploy models as REST endpoints
  • Monitor production pipelines
  • Final Project: Predictive maintenance solution

Testimonials

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