Data Scientist vs Data Analyst vs Data Engineer: What's the difference? | Simplilearn

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In this video, we will explore the dynamic landscapes of data engineering, data analytics, and data science, providing insights into the roles, responsibilities, and career prospects within each domain. As we journey through the intricate world of data, we'll uncover the fundamental differences between data engineering, which focuses on building and optimizing data pipelines and infrastructure, and data analytics, which involves interpreting data to extract actionable insights. Moreover, we'll delve into the multifaceted realm of data science, where statistical analysis, machine learning, and predictive modeling converge to solve complex problems and drive innovation. By the end of this exploration, you'll gain a deeper understanding of these fields and be better equipped to chart your career path in the data-driven landscape of 2024 and beyond.

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✅ About Post Graduate Program In Data Engineering
Fast-track your career as a Data Engineering professional with our Data Engineering course. This course covers Big Data and Data Engineering concepts, the Hadoop ecosystem, Apache Python basics, AWS EMR, Quicksight, Sagemaker, the AWS cloud platform, and Azure services.

✅ Skills Covered
- Real Time Data Processing
- Data Pipelining
- Big Data Analytics
- Data Visualization
- Provisioning data storage services
- Apache Hadoop
- Ingesting Streaming and Batch Data
- Transforming Data
- Implementing Security Requirements
- Data Protection
- Encryption Techniques
- Data Governance and Compliance Controls

✅ Tools Covered
- Amazon EMR
- Amazon RedShift
- MongoDB
- Python
- Apache spark
- Data Bricks
- SQL
- and more...

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