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Top 10 AI Data Analysis Tools You Need to Learn in 2026.

Enkay Studio

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Top 10 AI Data Analysis Tools You Need to Learn in 2026.

128 просмотров · 9 дн. назад
Enkay Studio
40,2 тыс. подписчиков
128 просмотров · 9 дн. назад
AI is changing data analysis fast, but with so many AI data tools available, which ones are actually worth learning? In this video, I break down 10 AI data analysis tools you should know in 2026, what each one is best at, who should use it, and how to choose the right tool for the job. We cover: ChatGPT Advanced Data Analysis Julius AI Claude Microsoft Power BI + Copilot Gemini in Google Sheets Tableau Hex ThoughtSpot Rows Deepnote But choosing an AI tool is only part of the job. I’ll also show you why AI can calculate the wrong thing perfectly, and why checking data quality, duplicates, missing values, outliers, metrics and calculations still matters. You’ll see a practical workflow for moving from raw data to a trustworthy answer: Inspect the data → clean a copy → calculate the right metrics → compare → investigate anomalies → visualize → verify → draw conclusions. If you want deeper step-by-step tutorials, check out my full Julius AI and ChatGPT data analysis videos on NK Studio. Which of these 10 tools should I test next with real, messy data? Tell me in the comments. Subscribe for practical AI tutorials, real workflows and tools you can actually use. #AIDataAnalysis #AITools #DataAnalysis #ChatGPT #JuliusAI