Data Engineering

Micro Credentials Overview: Data Engineering Essentials

This workshop dives into the fundamentals of data engineering, focusing on building efficient data pipelines, managing large datasets, and optimizing workflows for analytics and machine learning. With an emphasis on practical applications and hands-on learning, participants will gain insights into the core tools, techniques, and principles of modern data engineering.

Curriculum by Industry Expert

Mentors are Tech leads

80% Hand on Workshop

Skill Level Beginner to Advance

Certification of Completion

Tools

Tools you master

What will you learn

Basics of Data Engineering

  • Introduction to data engineering and its role in the data lifecycle.
  • Understanding ETL/ELT processes and their significance.
  • Overview of data storage solutions: relational databases, NoSQL systems, and cloud platforms.

Types of Data Pipelines

  • Batch Processing Pipelines: Handling large datasets periodically.
  • Real-Time Pipelines: Managing continuous streams of data.
  • Hybrid Pipelines: Combining real-time and batch processing for flexible workflows.

Writing Efficient Data Workflows

  • Best practices for designing scalable and maintainable pipelines.
  • Optimizing data ingestion, transformation, and storage.
  • Implementing data validation to ensure accuracy and consistency.

Advanced Techniques in Data Engineering

  • Performance optimization: Parallel processing and indexing.
  • Orchestrating workflows with tools like Apache Airflow or Prefect.
  • Leveraging cloud services for scalable data processing (e.g., AWS, Azure, GCP).

Hands-On Exercises

  • Building a basic ETL pipeline using Python and SQL.
  • Creating data transformation scripts for cleaning and aggregation.
  • Querying and visualizing data from a warehouse or lake.

Applications Across Domains

  • E-commerce: Building real-time recommendation systems and sales dashboards.
  • Finance: Implementing fraud detection and risk analysis pipelines.
  • Technology: Managing log data for system monitoring and anomaly detection.

Whom will you learn from ?

Improve Your Personal / Professional Growth With Our GenAI Courses

 

Your Data Engineering

Certificate is Awaiting

Industry-recognized certification

Our certification in Data Engineering demonstrates your expertise in managing, processing, and optimizing data pipelines. It’s the key to unlocking advanced career opportunities in data-driven roles across industries.

Effortless Sharing of Your Achievement

Showcase your certification with ease! Share it on LinkedIn, your portfolio, or directly with employers to demonstrate your readiness for AI-driven roles in the workforce.

Boost Your Professional Productivity

Master advanced data engineering to streamline complex workflows, solve real-world problems, and enhance decision-making. Empower yourself to drive innovation and impact across AI-driven roles.

FAQ's

What is a Micro Credentials course?

A Micro Credentials course is an online training session where participants can join from anywhere via the internet. It provides interactive sessions, presentations, and discussions in a virtual environment.

How do I join a Micro Credentials course?

After registering, you will receive an email with a link and instructions to access the Micro Credentials course. You’ll need a stable internet connection, a device (laptop or smartphone), and possibly a headset for the best experience.

Will I get a certificate for attending?

Yes, participants who complete the Micro Credentials course and meet any specified criteria will receive a certificate of participation.

Can I interact with the instructor during the course?

Absolutely! Our Micro Credentials courses are interactive, allowing participants to ask questions and participate in discussions through chat or video/audio during designated Q&A sessions.

What if I miss the live session?

If you miss the live session, a recording of the Micro Credentials course will be available for a limited time. You can access it through your account on our website.