Data Engineering

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About Course

Data engineering involves designing, building, and maintaining systems for collecting, storing, and analyzing large datasets. It focuses on developing data pipelines that convert raw data into usable formats for data scientists and analysts. Data engineers work with databases, ETL (Extract, Transform, Load) processes, and big data technologies. Their efforts ensure efficient and scalable data workflows. This field is crucial for enabling data-driven decision-making in businesses.

What Will You Learn?

  • Fundamentals of databases and SQL for data management.
  • Building and maintaining data pipelines using ETL (Extract, Transform, Load) processes.
  • Working with big data tools like Hadoop, Spark, and Kafka.
  • Data warehousing and architecture design for scalable data systems.
  • Cloud platforms like AWS, Azure, or Google Cloud for data storage and processing.
  • Data modeling and schema design for structured and unstructured data.
  • Techniques for data cleaning, transformation, and optimization.
  • Monitoring and optimizing data pipeline performance.

Course Content

Python

  • Python Basics
    00:00
  • Data Types & functions
    00:00
  • OOPS
    00:00
  • Files & Exceptional Handling
    00:00
  • Database & Web API
    00:00
  • Python Libraries
    00:00

Statistics

Machine Learning

Deep Learning

NLP

Generative AI

Elevate Your Learning Journey with Cutting-Edge Education Technology.

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