Remove 2034 Remove Analytics Remove Data Analysis
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Must Know Differences Between Data Science and Data Analytics

Pickl AI

Summary: The difference between Data Science and Data Analytics lies in their approachData Science uses AI and Machine Learning for predictions, while Data Analytics focuses on analysing past trends. Data Science requires advanced coding, whereas Data Analytics relies on statistical methods.

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Top Business Analyst Interview Questions

Pickl AI

Summary: Use these Business Analyst interview questions to highlight your analytical expertise, stakeholder management, and agile methodologies. By reading further, you will learn how to confidently answer interview queries, highlight your analytical skills, and convey your ability to streamline business processes. billion in 2024.

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Exalytics, Exalogic, and Exadata

Pickl AI

Summary: Oracle’s Exalytics, Exalogic, and Exadata transform enterprise IT with optimised analytics, middleware, and database systems. AI, hybrid cloud, and advanced analytics empower businesses to achieve operational excellence and drive digital transformation. million by 2034, growing at an impressive CAGR of 14.2%.

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Understanding the Synergy Between Artificial Intelligence & Data Science

Pickl AI

Summary: The blog explores the synergy between Artificial Intelligence (AI) and Data Science, highlighting their complementary roles in Data Analysis and intelligent decision-making. Introduction Artificial Intelligence (AI) and Data Science are revolutionising how we analyse data, make decisions, and solve complex problems.

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Business Analytics Process: Essential Steps for Smart Strategies

Pickl AI

Summary: The business analytics process transforms raw data into actionable insights through a structured approach. By following key stepsproblem identification, data collection, analysis, modeling, and strategy executionorganisations can achieve growth. Learn business analytics through Pickl.AIs expert-led courses.