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Python Data Engineering

Learn how to build and manage data pipelines, process large datasets, and automate workflows using P...

Students learning digital marketing

Course duration

N/A

Learning Format

Live, Online, Interactive

Internship opportunity

Experience on Live projects

Placement Assistance

Interview Prep, Resume Support

Key Skills You Will Learn

Explore the key features designed to help you learn, practice, and excel in digital marketing.

  • Data pipeline creation with Python
  • Data cleaning and transformation using Pandas
  • SQL queries and NoSQL handling
  • ETL process design and automation
  • Orchestration using Apache Airflow
  • Big Data processing with Apache Spark & PySpark
  • Data warehousing concepts (Redshift, BigQuery)
  • API data extraction and ingestion
  • Cloud storage tools (AWS S3, GCP)
  • Scalable architecture for large datasets

Course Curriculum

Our curriculum is designed to make you job-ready with practical projects, real-world campaigns, and expert guidance.

Learning Path

Induction session for Python Data Engineering course

  • Discover the ins and outs of this comprehensive program.
  • Understand the learning path and growth potential.
Python for Data Pipelines
Pandas, NumPy, Data Wrangling
SQL & NoSQL for Data Engineering
Apache Airflow for Orchestration
ETL Design & Data Lake Architecture
Working with APIs and Web Scraping
Big Data Tools: Hadoop, Spark with PySpark
Data Warehousing Concepts
Cloud Platforms: AWS Glue, Redshift
Final Capstone: End-to-End Data Pipeline

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Why Choose This Data Engineering Course?

Explore the key features designed to help you learn, practice, and excel in digital marketing.

  • High demand for data engineers in growing tech industries
  • Hands -on ETL pipeline and data workflow automation projects
  • Gain experience with Airflow, SQL, NoSQL, and Python tools
  • Learn to handle structured and unstructured datasets
  • Build and deploy cloud -ready data workflows
  • Certificate upon successful course completion
  • Perfect for professionals aiming for Data Engineer roles
  • Get resume -ready with real-world project experience
  • Live mentor guidance and expert feedback
  • Downloadable datasets and code notebooks

Essential Marketing Tools

Learn to master tools like Google Ads, Meta Ads, GA4, HubSpot, Mailchimp, and AI tools to create effective campaigns.

Career Support

Get resume-building, LinkedIn branding, and interview preparation to confidently launch your marketing career.

End-to-End Career Support for Future Marketers

Tailored for our Educated Bear learners, we provide complete career support including internship opportunities, hands-on projects, portfolio building, resume creation, interview preparation, and mock sessions to ensure you're job-ready with real-world Python Data Engineering. Launch your career with confidence.

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Portfolio Development & Professional Resume Building

Portfolio Development & Professional Resume Building

Mock Internship Preparation & Assessments

Mock Internship Preparation & Assessments

Group Mentoring & Live Projects experience

Group Mentoring & Live Projects experience

Industry Recognised Certificates & Internship Certificate

Industry Recognised Certificates & Internship Certificate

Eligibility For Every Learner

Designed to welcome beginners and professionals alike – no prior experience required.

  • Graduates in Computer Science, IT, or related fields
  • Working professionals looking to transition into data roles
  • Anyone with basic Python and SQL understanding
  • Software developers seeking backend data workflow knowledge
  • Analysts looking to scale up to engineering responsibilities
  • Beginners with strong logical thinking and interest in data

Step Into Your Future with EducatedBear

Reserve Your Spot for Career Success – Limited seats for an immersive learning experience.

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Why Choose EducatedBear

  • Expert-Led Learning – Get trained by experienced industry professionals.
  • Career-Boosting Certification – Earn certificates recognized across the industry.
  • Internship Opportunities – Access internship programs after course completion.
  • Hands-on Project Experience – Work on real-time live digital marketing projects.
  • Interview Preparation – Access commonly asked interview questions and guidance.
  • Flexible Learning – Learn through a structured and professionally designed curriculum.
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