Data Engineer Bootcamp eLearning

1.150,00 EUR

  • 290 hours
eLearning

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

Data Engineer Bootcamp eLearning

Learning Path

  1. Linux Processes and Networking

    Course 1

  2. Python for Data Engineering

    Course 2

  3. Relational Database Design and Architecture

    Course 3

  4. SQL for Data Analysis

    Course 4

  5. MongoDB

    Course 5

  6. Data Warehousing

    Course 6

  7. Big Data Processing with Hadoop

    Course 7

  8. Real-Time Big Data Streaming with Spark

    Course 8

  9. Apache Kafka

    Course 9

  10. Big Data on AWS

    Course 10

  11. Data Security

    Course 11

Data Engineer Bootcamp eLearning
Data Engineer Bootcamp eLearning

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

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