Beginner-friendly, step-by-step project to stream, store, and visualize data using AWS EC2, Python, Kafka, SQL & Grafana
β±οΈ Length: 2.2 total hours
β 5.00/5 rating
π₯ 128 students
π December 2025 update
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Course Overview
- Build a complete real-time data dashboard from scratch in this hands-on, project-driven course. Simplify complex data architectures to stream, process, and visualize live information, designed for absolute beginners.
- Master the full data lifecycle, transforming raw data into actionable insights. Understand the crucial workflow from source data through processing stages to final, impactful presentation.
- Learn a modern, in-demand technology stack: provisioning AWS EC2, integrating Kafka for robust distributed messaging, ensuring high-throughput data streaming for continuous insights.
- Discover real-time analytics’ power across industries. Design systems that react instantaneously to data, providing a critical competitive edge through immediate, informed decision-making.
- Gain confidence with practical experience, tackling every configuration detail from VM setup to dynamic Grafana dashboards. Overcome challenges in a supportive, step-by-step environment.
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Requirements / Prerequisites
- Absolutely no prior programming, database, or cloud experience is required. This course is explicitly crafted for absolute beginners entering the data field.
- A standard computer (Windows, macOS, or Linux) with a reliable internet connection. All necessary software is open-source or available via AWS’s free tier.
- A genuine curiosity for data and eagerness to learn new technical concepts. Your commitment and enthusiasm are the primary prerequisites for success.
- An active email address to set up a free AWS account for hands-on cloud resource practice. Comprehensive guidance for managing the AWS free tier is included.
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Skills Covered / Tools Used
- AWS EC2 Management: Hands-on provisioning, configuration, and fundamental management of virtual servers within Amazon Web Services.
- Kafka Event Streaming: Set up brokers, producers, and consumers for resilient, scalable real-time data ingestion and distribution pipelines.
- Python Data Scripting: Develop practical skills for API interaction, data extraction, and preparing data for streaming using core ETL principles.
- PostgreSQL Database: Master database setup, schema design, and efficient SQL querying for managing streaming and time-series data.
- Grafana Dashboard Design: Acquire proficiency in creating interactive, compelling dashboards to monitor live data streams and visualize insights.
- Linux Command Line: Essential operations for server navigation, process management, software installation, and service configuration on Linux.
- Integrated Data Architecture: Seamlessly connect AWS EC2, Python, Kafka, PostgreSQL, and Grafana into a cohesive, functional real-time system.
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Benefits / Outcomes
- Kickstart Data Career: Gain a practical, in-demand skill set ideal for entry-level data analytics, data engineering, or business intelligence roles.
- Portfolio-Ready Project: Create a tangible, fully functional real-time dashboard for your portfolio, showcasing concrete abilities to employers.
- Master Core Technologies: Acquire practical expertise with AWS, Python, Kafka, PostgreSQL, and Grafanaβfoundational tools in modern data infrastructure.
- Enhanced Problem-Solving: Develop robust critical thinking and troubleshooting skills by configuring and debugging a live data pipeline.
- Grasp Data Architecture: Understand design, implementation, and maintenance principles of real-time data pipelines, building a strong conceptual foundation.
- Confident Creation: Experience satisfaction building a complex system from scratch, boosting technical confidence and practical application.
- Efficient Skill Acquisition: Focused, direct instruction ensures rapid acquisition of diverse data skills without unnecessary theoretical tangents.
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Pros & Cons
- Pros:
- Beginner-Friendly: Designed for individuals with no prior technical background.
- Project-Centric: Delivers a complete, deployable real-time data dashboard for your portfolio.
- Industry-Relevant: Focuses on highly sought-after, modern data technologies and workflows.
- Time-Efficient: Achieves significant learning outcomes and practical skills in just 2.2 hours.
- End-to-End Coverage: Teaches the entire data pipeline lifecycle from ingestion to visualization.
- Cons:
- Due to its concise duration and beginner focus, the course offers foundational knowledge rather than deep dives into advanced optimizations or highly specialized configurations for each technology.
- Pros:
Learning Tracks: English,IT & Software,Other IT & Software
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