Data Analytic Tools - Data Professional's Toolbox
Автор: Data Wrangler
Загружено: 2026-01-04
Просмотров: 19
Описание:
In this video, we explore 17 essential analytics tools used across data analysis, business intelligence, data engineering, machine learning, and research. You’ll learn what each tool is, what it does, who uses it, and where it fits in the analytics ecosystem.
We cover:
Adobe Analytics, Apache Spark, Databricks, Google Analytics, Google Sheets, Hadoop, MapReduce, Microsoft Excel, Power BI, Python, Qlik, R, RapidMiner, SAS, SPSS, SQL, and Tableau.
This guide helps you understand the strengths, limitations, and real‑world applications of each tool so you can choose the right one for your projects, career goals, or academic work. Perfect for WGU students, aspiring analysts, and anyone building a modern analytics skillset.
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