Mastering Data Handling – Efficient Storage, Retrieval & Processing
This guided lab focuses on efficient data handling techniques, covering storage, retrieval, and processing across structured and unstructured datasets. Participants will work with real-world datasets, optimize queries, and implement best practices for scalable data management.
This Course Includes:
Access on mobile & TV
Free One Year Access To Live Courses*
Certificate of completion
Course Curriculum & Resources
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File Handling (CSV, JSON, XML)
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Database Systems (SQL & NoSQL)
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Cloud Storage Solutions (AWS, GCP, Azure)
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SQL Queries & Indexing for Faster Retrieval
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NoSQL Querying & Performance Tuning
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API-based Data Access & Caching Strategies
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Data Cleaning & Preprocessing (Pandas, NumPy)
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Batch vs. Real-Time Data Processing (Spark, Kafka)
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Aggregation & Reporting Techniques
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Parallel Processing & Multithreading for Large Datasets
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Distributed Data Handling & Load Balancing
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Best Practices for Scalable Data Systems
Student Ratings & Reviews
Instructor Info
- Instructor Code: ABM07
- Specialty: Cloud, Data Science & GenAI Expert
- Experience: Worked with Microsoft, JO Morgan Chase, Deloitte Consulting in the USA
- Education: Holds an MS in Data Analytics Engineering from George Mason University, USA, and an MTech in Biomedical Engineering from IIT Bombay.
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From Chaos to Clarity – Mastering Lists for Powerful Data Handling
| Benefits | Certimap | Other Forums | Youtube | |
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| Free placement assistance | ||||
| Industry-Ready Projects | ||||
| Real Time Doubt Resolution | ||||
| Video Lessons | ||||
| Live Zoom Classes | ||||
| Lifetime Validity | ||||
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