Data Engineering With Python

Learn modern Data Engineering, Big Data Technologies, Cloud Platforms, ETL Pipelines, Database Management, Apache Spark, Kafka, Airflow, and build scalable data systems used in real-world industries.

Complete Data Engineering Program

Beginner → Advanced Level Training

Course Overview

Data Engineering focuses on building, managing, transforming, and optimizing data systems that help organizations process massive amounts of information efficiently. This course teaches students how to collect, clean, process, store, and analyze data using industry-standard tools and technologies. Students will learn Python programming, SQL, ETL workflows, Apache Spark, Kafka, Airflow, cloud computing, data warehousing, big data technologies, API integrations, and scalable data pipelines. The course is designed for beginners, developers, IT students, analysts, and professionals who want careers in Data Engineering, Cloud Data Platforms, Big Data, and Analytics Engineering.

Course Syllabus

Python Fundamentals for Data Engineering

Variables & Data Types
Control Statements & Loops
Functions & Modules
List Comprehensions
Lambda Functions
File Handling with CSV & JSON

Data Handling Libraries

NumPy Arrays
Array Operations
Pandas DataFrames
Data Manipulation
Filtering & Sorting
Missing Data Handling

SQL & Database Management

SQL Fundamentals
SQLite Integration
MySQL & PostgreSQL
SQLAlchemy ORM
MongoDB Basics
PyMongo Integration

Data Ingestion & API Integration

REST APIs
Requests Library
API Authentication
Pagination Handling
Data Extraction
Real-Time Streaming Basics

Web Scraping & Automation

BeautifulSoup
Scrapy Framework
HTML Parsing
Automated Data Collection
Structured Scraping
Data Extraction Projects

Data Cleaning & Preprocessing

Handling Missing Values
Data Transformation
Normalization & Scaling
Outlier Detection
Data Validation
Pipeline Quality Checks

Big Data Technologies

Apache Spark
PySpark Processing
Distributed Computing
Hadoop Ecosystem
HDFS Basics
Hadoop Streaming

Data Pipeline Orchestration

Apache Airflow
DAG Workflows
Task Scheduling
Workflow Automation
Dependency Management
Pipeline Monitoring

Cloud Platforms for Data Engineering

AWS S3 & EC2
Boto3 SDK
Google Cloud Platform
BigQuery Basics
Dataflow Concepts
Cloud Data Storage

Data Warehousing & ETL

ETL Concepts
Data Warehousing
Dimensional Modeling
Talend Open Studio
Custom ETL Pipelines
Enterprise Data Workflows

Data Visualization & Reporting

Matplotlib
Seaborn Charts
Plotly Dashboards
Interactive Visualizations
Automated Reports
Data Storytelling

Version Control & Collaboration

Git Fundamentals
GitHub & GitLab
Team Collaboration
Branching & Merging
Project Management
Deployment Workflows

⚡ Real-Time Data Pipelines

☁️ Big Data & Cloud Platforms

🚀 Industry Career Support