📦 Full Stack Data Engineering Bootcamp (27 Courses)
The demand for Data Engineers has skyrocketed in the era of Big Data, Cloud, and AI-powered analytics. Companies today need professionals who can handle large-scale data pipelines, data lakes, machine learning projects, real-time dashboards, and business intelligence solutions.
The Full Stack Data Engineering Bootcamp (27 Courses) is a comprehensive, career-focused learning program that equips you with everything you need to become an end-to-end Data Engineer. From foundational skills like Linux and Hadoop, to advanced Spark and Machine Learning projects, to databases and visualization tools, and even interview preparation, this bundle provides a complete learning pathway.
It is the most extensive and practical training package on SmartDataCamp — designed for students, working professionals, and job seekers who want to master the full spectrum of Data Engineering.
🚀 What You’ll Learn
By enrolling in this bootcamp, you’ll gain expertise across the entire Data Engineering lifecycle:
🔹 Core Big Data & Spark Foundations
- Apache Spark with Scala (Databricks Certification prep)
- Spark MCQ practice test for exam readiness
- Big Data Hadoop essentials (hands-on beginner training)
- Linux for Data Engineers (practical OS and command-line skills)
🔹 Data Warehousing & Processing
- Apache Hive for Data Engineers (hands-on with 2 real projects)
- Apache Pig interview-focused training
- Apache Hadoop & MapReduce interview-focused training
- Delta Lake with Apache Spark for handling structured/unstructured data
- Apache Cassandra for Data Engineers (NoSQL database)
- Apache AsterixDB (Big Data Management System)
- Apache Druid for real-time analytics
🔹 Visualization & Reporting Tools
- Apache Superset (BI dashboards, charts)
- Metabase (open-source BI platform)
- Apache Zeppelin (interactive data visualization & notebooks)
- Jupyter Notebook (visualization + exploration for Big Data)
🔹 Machine Learning with Spark (Projects-Focused)
- Machine Learning with Apache Spark 3.0 using Scala
- Spark ML projects:
- Employee Attrition Prediction
- House Sale Price Prediction
- Telecom Customer Churn Prediction
- Heart Attack & Diabetes Prediction
- Build Spark ML & Analytics (5 mini-projects)
🔹 Analytics & Real-World Projects
- Weblog Analytics using Apache Spark (end-to-end reporting system)
- Olympic Games Analytics Project (beginner-friendly)
- World Development Indicators Analytics Project
🔹 AI & Next-Gen Tools for Data Engineers
- ChatGPT for Data Engineers — leveraging AI to automate workflows, design pipelines, and improve productivity.
🔹 Interview & Career Prep
- Apache Spark Interview Q&A (100 FAQs)
- Apache Hive Interview Q&A (100+ FAQs)
- Apache Pig Interview Q&A
- Apache Hadoop & MapReduce Interview Q&A
📚 Courses Included
This bootcamp includes 27 carefully curated courses:
- Apache Spark with Scala (Databricks Certification)
- Apache Spark MCQ Practice Test
- Learn Big Data Hadoop: Hands-On for Beginner
- ChatGPT for Data Engineers
- Apache Hive for Data Engineers (Hands-On with 2 Projects)
- Linux for Data Engineers (Hands-On)
- Apache Superset for Data Engineers (Hands-On)
- Metabase: Open-Source Business Intelligence Platform
- Apache Zeppelin – Big Data Visualization Tool
- Jupyter Notebook – Big Data Visualization Tool
- Employee Attrition Prediction in Spark ML
- House Sale Price Prediction in Spark ML
- Telecom Customer Churn Prediction in Spark ML
- Heart Attack & Diabetes Prediction in Spark ML
- Build Spark ML & Analytics (5 Projects)
- Machine Learning with Apache Spark 3.0 (Scala)
- Weblog Reports Project in Apache Spark
- Olympic Games Analytics Project (Apache Spark)
- World Development Indicators Analytics Project (Apache Spark)
- Apache Spark Interview Questions & Answers (100 FAQ)
- Apache Hive Interview Questions & Answers (100+ FAQ)
- Apache Pig Interview Questions & Answers
- Apache Hadoop & MapReduce Interview Questions & Answers
- Apache Druid for Data Engineers (Hands-On)
- Apache AsterixDB for Beginners (Big Data Management System)
- Delta Lake with Apache Spark (Scala)
- Apache Cassandra for Data Engineers
🎯 Who This Bootcamp Is For
- Aspiring Data Engineers looking to build a career in Big Data & Analytics.
- Working Professionals (ETL developers, BI analysts, software engineers) who want to upgrade to Data Engineering roles.
- Students & Graduates who want a complete package to gain hands-on Big Data experience.
- Job Seekers preparing for Data Engineering, Big Data, or Spark-related interviews.
- Tech Enthusiasts eager to master Spark, Hadoop, databases, and visualization tools.
🛠 Requirements
- Basic programming knowledge (Scala/Python/Java helpful, but not mandatory).
- Familiarity with SQL and databases is beneficial.
- No prior Spark or Big Data experience required — everything is explained step by step.
✅ Why Enroll in This Bootcamp?
- Comprehensive coverage: 27 courses spanning Big Data, Spark, ML, Databases, Visualization, and Interview Prep.
- Hands-on learning: Real-world projects to help you apply skills immediately.
- Career readiness: Practice tests and interview prep included.
- Future-proof skills: Covers AI tools like ChatGPT alongside Spark, Hadoop, Hive, and modern databases.
- One-stop solution: Instead of buying multiple individual courses, you get a complete Data Engineering career pathway in one package.
By completing this bootcamp, you will have the skills, confidence, and portfolio to work as a Full Stack Data Engineer and succeed in the Big Data ecosystem.
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