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@@ -175,24 +177,27 @@ Throughout the course, we actively encourage and incentivize learning in public.
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This not only demonstrates your knowledge but also builds a portfolio of valuable content. Sharing your work online also helps you get noticed by social media algorithms, reaching a broader audience and creating opportunities to connect with individuals and organizations you may not have encountered otherwise.
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## DataTalks.Club community
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## Building Your Portfolio with Data Engineering Projects
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DataTalks.Club has a supportive community of like-minded individuals in [our Slack](https://datatalks.club/slack.html){:target="_blank"}. It is the perfect place to enhance your skills, deepen your knowledge, and connect with peers who share your passion. These connections can lead to lasting friendships, potential collaborations in future projects, and exciting career prospects.
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If you've participated in data engineering interviews or researched the field, you know the importance of having real-world projects in your portfolio. This is especially crucial if you're transitioning into data engineering or seeking your first role in the field.
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<figure>
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<imgsrc="/images/posts/2023-11-18-data-engineering-zoomcamp/image2.png"alt="DataTalks.Club Slack workspace showing active discussions in the Data Engineering Zoomcamp channel with community interactions" />
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<figcaption><p>Active discussions and peer support in our dedicated Slack community channel</p></figcaption>
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</figure>
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In the final three weeks of the course, you'll build an end-to-end data pipeline project that showcases everything you've learned. Your project will include:
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## Quick Start Guide
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- Selecting and processing a dataset of your choice
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- Building data pipelines (batch or streaming)
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- Setting up a data warehouse
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- Creating analytical dashboards
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- Documenting your solution
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Data Engineering Zoomcamp offers a practical path to becoming a data engineer. In just 9 weeks, you'll gain:
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You'll use modern tools like:
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- Cloud platforms (GCP, AWS, or Azure)
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- Infrastructure as Code (Terraform)
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- Data processing frameworks (Spark, Kafka)
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- Analytics tools (dbt, BigQuery)
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- Hands-on experience with modern data engineering stack (Docker, Terraform, dbt, Spark, Kafka)
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- Build production-ready data pipelines from ingestion to visualization
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- Join a vibrant community of data professionals and learners
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Your project will be peer-reviewed by other participants, giving you valuable feedback and the opportunity to learn from others' solutions.
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The next cohort starts in January 2026! Take the first step toward your data engineering career. Register for the course and start your learning journey today!
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Want to make your project stand out? Consider adding extra features like automated testing, CI/CD pipelines, or advanced visualizations. These additions can make your portfolio more impressive to potential employers.
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</div>
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</div>
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[Register](https://airtable.com/appzbS8Pkg9PL254a/shr6oVXeQvSI5HuWD){:target="_blank"} for the Data Engineering Zoomcamp.
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## Building Your Portfolio with Data Engineering Projects
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## DataTalks.Club community
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If you've participated in data engineering interviews or researched the field, you know the importance of having real-world projects in your portfolio. This is especially crucial if you're transitioning into data engineering or seeking your first role in the field.
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DataTalks.Club has a supportive community of like-minded individuals in [our Slack](https://datatalks.club/slack.html){:target="_blank"}. It is the perfect place to enhance your skills, deepen your knowledge, and connect with peers who share your passion. These connections can lead to lasting friendships, potential collaborations in future projects, and exciting career prospects.
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In the final three weeks of the course, you'll build an end-to-end data pipeline project that showcases everything you've learned. Your project will include:
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<figure>
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<imgsrc="/images/posts/2023-11-18-data-engineering-zoomcamp/image2.png"alt="DataTalks.Club Slack workspace showing active discussions in the Data Engineering Zoomcamp channel with community interactions" />
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<figcaption><p>Active discussions and peer support in our dedicated Slack community channel</p></figcaption>
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</figure>
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- Selecting and processing a dataset of your choice
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- Building data pipelines (batch or streaming)
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- Setting up a data warehouse
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- Creating analytical dashboards
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- Documenting your solution
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## Quick Start Guide
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You'll use modern tools like:
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- Cloud platforms (GCP, AWS, or Azure)
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-
- Infrastructure as Code (Terraform)
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- Data processing frameworks (Spark, Kafka)
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- Analytics tools (dbt, BigQuery)
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+
Data Engineering Zoomcamp offers a practical path to becoming a data engineer. In just 9 weeks, you'll gain:
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Your project will be peer-reviewed by other participants, giving you valuable feedback and the opportunity to learn from others' solutions.
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+
- Hands-on experience with modern data engineering stack (Docker, Terraform, dbt, Spark, Kafka)
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+
- Build production-ready data pipelines from ingestion to visualization
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- Join a vibrant community of data professionals and learners
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Want to make your project stand out? Consider adding extra features like automated testing, CI/CD pipelines, or advanced visualizations. These additions can make your portfolio more impressive to potential employers.
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+
The next cohort starts in January 2026! Take the first step toward your data engineering career. Register for the course and start your learning journey today!
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