Data Engineer Bootcamp eLearning
1.150,00 EUR
- 290 hours
Data Engineer Bootcamp equips you with the skills to work confidently with raw data. You'll gain hands-on experience across a wide range of key data engineering areas, including data warehousing, Linux, Python, SQL, Hadoop, MongoDB, Big Data processing and security, AWS, and more. You’ll also learn to design and build databases, extract and interpret data, and develop effective data models. By the end of the program, you'll be prepared to tackle complex real-world challenges as a professional Data Engineer. Handle Data Like a Pro: Optimize, Analyze, and Deliver Insights. Build High-Demand Skills & Launch Your Career as a Data Engineer
Key Features
Course and material in English
Beginner - Advanced level
290 Hours of eLearning Material
12+ Real-World Case Studies
230+ Hands-on Exercises
Auto-Graded Assessments and Recall Quizzes
Create a Job-Ready Portfolio with 10+ Capstone Projects
Study time approximately 4-6 month
2 years of access to the learning platform
Receive a course completion certificate
Learning Outcomes
At the end of this program, you will be able to:
Python for Data Analysis
Develop a strong command of Python, covering everything from the basics to advanced techniques used in Data Science.
Working with Relational Databases and SQL
Discover how to extract and analyze data from databases using tools like Excel and SQL.
SQL for Data Analytics
Learn to query databases effectively and analyze structured data using SQL.
NoSQL with MongoDB
Gain comprehensive knowledge of MongoDB—from performing CRUD operations to deploying MongoDB in the cloud
Data Warehousing Fundamentals
Understand how to integrate large volumes of data and explore practical applications of data warehousing.
Big Data Processing with Hadoop
Master data ingestion techniques for both structured and unstructured data using tools like Sqoop and Flume in the Hadoop ecosystem.
Real-Time Data Streaming with Spark
Build solid skills in Spark programming, working with RDDs, DataFrames, and Spark SQL APIs
Apache Kafka
Learn how Kafka works, including its core components and how to properly configure a Kafka cluster.
Big Data on AWS
Explore AWS tools and services for storing and analyzing large datasets efficiently in the cloud.
Big Data Security Essentials
Understand the key data protection regulations, common challenges, and security best practices in handling big data.
Skills
You will develop
- Data analysis and interpretation
- Kafka security configuration
- Real-time data processing with Spark Streaming
- Building efficient data pipelines
- Handling structured streaming data
- Managing large-scale data storage on AWS
- Working with unstructured datasets
- Implementing stream processing using Kafka
- Creating data warehouses on AWS
- Identifying patterns and trends in datasets
- Extracting data from various databases
- Validating data relationships
- Scheduling and managing Big Data workflows with Oozie
- Data transformation using Pandas
- Designing impactful data visualizations
Stand Out to Recruiters with an Exceptional Project Portfolio
Create a platform to mine Bitcoin, validate new transactions on the blockchain, and predict cryptocurrency trends using data analysis

Learning Path
Linux Processes and Networking
Course 1
Python for Data Engineering
Course 2
Relational Database Design and Architecture
Course 3
SQL for Data Analysis
Course 4
MongoDB
Course 5
Data Warehousing
Course 6
Big Data Processing with Hadoop
Course 7
Real-Time Big Data Streaming with Spark
Course 8
Apache Kafka
Course 9
Big Data on AWS
Course 10
Data Security
Course 11


Who Should Enroll in this Program?
Prerequisites
No prior experience is required to join our Data Engineer Bootcamp. While having some familiarity with Linux and basic Python can be helpful, it’s not essential. All you need is the right mindset, logical thinking, and a curiosity to learn—everything else, we’ll guide you through!
Professionals in adjacent tech fields shift to data-centric
Learners who have dabbled in Python, SQL, or Big Data
Aspiring Data Engineers
Early-Career IT Professionals
Career Changers
Professionals in Data-Driven Organizations
Frequently Asked Question

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