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Data science vs data analytics: Unpacking the differences

IBM Journey to AI blog

To pursue a data science career, you need a deep understanding and expansive knowledge of machine learning and AI. Diagnostic analytics: Diagnostic analytics helps pinpoint the reason an event occurred. They may also use tools such as Excel to sort, calculate and visualize data.

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Big Data Syllabus: A Comprehensive Overview

Pickl AI

Data Streaming Learning about real-time data collection methods using tools like Apache Kafka and Amazon Kinesis. Students should understand the concepts of event-driven architecture and stream processing. Once data is collected, it needs to be stored efficiently. js for creating interactive visualisations.

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Descriptive analytics

Dataconomy

Descriptive analytics is a fascinating area of data analytics that allows businesses to look back and glean insights from their historical data. By summarizing past events and performance metrics, organizations can understand trends, patterns, and behaviors that shape their decision-making processes.