Description

Course Description:

This course is designed to equip learners with end-to-end data engineering skills using Python. You will learn how to collect, store, process, and transform large-scale data efficiently while building scalable data pipelines. The program covers Python programming, data processing frameworks, database management, cloud platforms, and hands-on projects to prepare you for real-world data engineering roles.

Key Features of Course Divine:

• Collaboration with E‑Cell IIT Tirupati
• 1:1 Online Mentorship Platform
• Credit-Based Certification
• Live Classes Led by Industry Experts
• Live, Real-World Projects
• 100% Placement Support
• Potential Interview Training
• Resume-Building Activities

Career Opportunities After Data engineer with python Certified Course:

• Data Engineer
• Big Data Engineer
• ETL Developer
• Data Analyst / Business Intelligence Engineer
• Cloud Data Engineer
• Machine Learning Engineer

Essential Skills you will Develop Data engineer with python Certified Course:

• Python programming for data engineering
• ETL (Extract, Transform, Load) pipeline creation
• SQL & NoSQL database management
• Data warehousing concepts
• Big Data processing using PySpark
• Cloud data services (AWS, GCP, or Azure basics)
• Real-time data streaming fundamentals

Tools Covered:

• Python, Pandas, NumPy
• SQL & PostgreSQL / MySQL
• Apache Spark / PySpark
• Airflow / Luigi for workflow orchestration
• Hadoop & HDFS basics
• AWS S3, Redshift, or equivalent cloud storage
• Git & GitHub for version control

Syllabus:

Module 1: Python for Data Engineering Python basics, data structures, and OOP Libraries: Pandas, NumPy, and Matplotlib.

Module 2: SQL & Relational Databases SQL queries, joins, subqueries, and indexing Database design and normalization.

Module 3: NoSQL Databases Introduction to MongoDB / Cassandra CRUD operations and data modeling.

Module 4: ETL Concepts Understanding ETL pipelines Data extraction, transformation, and loading techniques.

Module 5: Data Warehousing Introduction to Data Warehouses Star & Snowflake schema design Fact and Dimension tables.

Module 6: Big Data Processing with PySpark RDDs, DataFrames, and Spark SQL Transformations and Actions.

Module 7: Workflow Orchestration Apache Airflow fundamentals DAG creation, scheduling, and monitoring.

Module 8: Cloud Data Engineering Basics AWS S3, Redshift, and Lambda basics Data pipeline deployment.

Module 9: Real-Time Data Processing Kafka basics Streaming pipelines with PySpark.

Module 10: Industry Projects & Capstone Building end-to-end data pipelines Working with structured and unstructured data Real-world project deployment.

Industry Projects:

• Building an ETL pipeline to extract, clean, and load data into a warehouse
• Real-time streaming analysis of social media data
• Data aggregation and reporting dashboard
• Cloud-based data pipeline deployment project

Who is this program for?

• Aspiring Data Engineers
• Software Developers
• Data Analysts & Business Analysts
• IT Professionals & Database Administrators
• Students & Fresh Graduates

How To Apply:

Mobile: 9100348679

Email: coursedivine@gmail.com