Data science is an interdisciplinary field that uses scientific methods, processes, algorithms and systems to extract knowledge and insights from noisy, structured and unstructured data, and apply knowledge from data across a broad range of application domains.
Locus IT offers various courses on data science and prepares the participants for certifications.
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Data Governance and Quality for Data Engineers
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Data Engineering with Kubernetes and Docker
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Data Engineering with Apache NiFi: Automating Data Flows
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Mastering NoSQL for Data Engineering: MongoDB and Cassandra
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Data Engineering for Data Science: Bridging the Gap
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Data Integration for Data Engineers: Connecting Diverse Sources
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Data Engineering in the Cloud: Big Data on AWS, GCP, and Azure
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Building Data Pipelines with Apache Airflow
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Data Engineering with Delta Lake and Apache Spark
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Data Warehousing and ETL Design for Data Engineers
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Data Engineering with ETL Tools: Integrating and Transforming Data
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Data Engineering with Python: Automating Data Workflows
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SQL for Data Engineers: Advanced Techniques and Optimization
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Real-time Data Engineering with Apache Flink
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Data Engineering for Machine Learning: Best Practices
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Data Engineering with Apache Kafka and Stream Processing
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Cloud Data Engineering: Building Scalable Solutions on AWS, Azure, or GCP
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Big Data Engineering with Hadoop and Spark
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Advanced Data Engineering: Scalability and Optimization
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Data Engineering Fundamentals: Building Robust Data Pipelines
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Integrating Scala with Hadoop and Spark
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Optimizing Scala Performance for Big Data
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Scala for Reactive Programming with Akka and Play Framework
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Hands-on Scala: Building Real-World Applications
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Creating Scalable Data Pipelines with Scala and Akka
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Testing and Debugging Scala Applications
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Scala for Machine Learning with Spark MLlib
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Introduction to Scala for Beginners
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Advanced Scala Programming Techniques
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Scala for Data Engineers: Big Data Solutions
