#Ai Data Analysis

3 AI tools you need if you hate doing data analysis work! Of course, this is AI so please exercise critical thinking with AI generated reports or analysis #dataanalysis #aitools

Are data analysts and business analysts cooked in 2026 because of AI?

Comment “project” for my full video that breaks each of these projects down in detail with examples from my own work. If you’re using the Titanic, Iris, or COVID-19 dataset for data analytics projects, STOP NOW! These are so boring and over used and scream “newbie”. You can find way more interesting datasets for FREE on public data sites and you can even make your own using ChatGPT or Claude! Here are the 3 types of projects you need: ↳Exploratory Data Analysis (EDA): Exploring a dataset to uncover insights through descriptive statistics (averages, ranges, distributions) and data visualization, including analyzing relationships between variables ↳Full Stack Data Analytics Project: An end-to-end project that covers the entire data pipeline: wrangling data from a database, cleaning and transforming it. It demonstrates proficiency across multiple tools, not just one. ↳Funnel Analysis: Tracking users or items move from point A to point B, and how many make it through each step in between. This demonstrates a deeper level of business thinking by analyzing the process from beginning to end and providing actionable recommendations to improve it Save this video for later + send to a data friend!

Let’s build a Data Analyst AI agent together (WITHOUT writing code) I’m using n8n for this. This is one of my favorite no-code automation tools. If you’d like to see a version in Python, let me know! #datascience #aiagent #n8n

The manual effort of analyzing data, building dashboards, or needing to be at a computer for a simple report is a huge drain on your time. This automation changes all of that by putting an intelligent AI data analyst right on your phone. This is a personal data analyst you can talk to. Here's how it works. You send a quick, natural language question to your WhatsApp number—for example, "What were our sales for last month?" An AI agent, powered by an n8n workflow, reads the message, connects to your Google Sheet, and instantly runs the analysis for you. It can filter data, sum up totals, and find specific insights. No more complex formulas, clunky spreadsheets, or waiting to get back to your laptop. Just an effortless way to get the data you need, when you need it. Imagine being in a meeting or on the go and getting a full sales report with a single text message. You have complete control over your data without any of the hassle. What kind of insights would you want to get from your data?

ChatGPT won’t think for you. But the right prompts will. (ep.1) Comment 👉 ChatGPT 👈 and I’ll send you the exact prompts I personally use to run real business analysis. I’ll also show you how I prompt step-by-step so you learn how to think with AI — not just copy/paste. You’ll get: • My real ChatGPT prompts • My 8-question strategic framework • How I broke down Netflix’s 2024 revenue • A structure you can reuse for ANY company If your prompts are strong, your insights will be too. 🎯 —— 很多分析師直接把資料丟給 ChatGPT。 結果分析出來亂七八糟 😅（ep.1） 留言 👉 ChatGPT 👈 拿我的 AI 分析模板 我會示範 我怎麼下 prompt、怎麼一步步帶出洞察。 你會得到： • 我實際用的 ChatGPT prompts • 8 個策略性問題架構 • 我如何分析 Netflix 2024 財報 讓你的分析更有架構 🎯

Visualizing the architecture of intelligence. 🕸️✨ Every neural network is built on the same fundamental concept: Layers. 🟡 Input Layer: Receives the raw data (pixels, text, numbers). 🟢 Hidden Layers: Where the magic happens—processing features and finding patterns. 🟠 Output Layer: Delivers the final prediction or decision. From the simple Perceptron to the complex loops of an RNN, these structures are the blueprints for how machines learn. 📐 #NeuralNetworks #MachineLearning #DeepLearning #DataScience #AI #Education #Visualized

Data Analysis & coding with AI (not ChatGPT) part 5 📈 Follow @sundaskhalidd for more 💕 Have you tried using Bard, ChatGPT or other AI tools for date analysis? I recently learned that Bard launched coding in +20 languages and the integration with Google Colab is pretty neat 💯 Let me know if you have any cool hacks 👇🏽 also, let me know if you want me to cover any data analysis technique next 😀 Follow @sundaskhalidd for data science, tech and career educational content✨ Tags 🏷️ #python #learnpython #datavisualization #googlecolab #dataanalysis #programming #codinglife💻 #sql #softwareengineer learntocode #datascience #dataanalyst #datascientist #datacareer #vscode #genieai #chatgpt #tabnine #pandas #bard

Part 1: Let's build a real AI Data Analyst from scratch 📈 ㅤ This is Part 1 of my Build AI Agent series where we build practical, working agents using Python, LangChain, and OpenAI. ㅤ Comment which agent you want to see next? ㅤ Follow for the next part ㅤ #aiagents #python #openai #dataanalytics

You probably Googled “How to learn Data Analytics”… And got 100 tabs open. Courses, tools, bootcamps, blogs, YouTube videos, each saying “Start here.” But no one told you what not to do. No one gave you a starter kit that actually made sense. So I built. And now I use this same plan to guide beginners I mentor. Here’s the Data Analytics Starter Kit I wish everyone should have👇 1. Start with Excel → It’s not outdated, it’s underrated. → Master formulas, Pivot Tables, and charts. 2. Then SQL → Learn how to query real data. → SELECT, WHERE, GROUP BY, and JOIN. That’s 80% of your job. 3. Add one viz tool → Pick Tableau or Power BI. → Focus on storytelling, not fancy dashboards. 4. Forget 100-hour courses Instead, build 3 small projects: ⤷ A Sales Dashboard in Excel ⤷ A Customer Retention Report in SQL ⤷ A Visual Story in Tableau 5. Use GitHub + LinkedIn → Document your projects. → Share your process. → Visibility builds credibility. 6. Give it 6–8 weeks Learn 1 skill → Apply it → Move to the next. If you're just starting out, don't chase 10 tools. Build your foundation first. Want my full Data Analytics Starter Kit with a roadmap, tool list, and project ideas? Drop "Community" to join my community here. #datavisualization #dataanalyst #datascience #data #sql #excel #python #career #careerswitch #trending #learning #interviewtips #india #metricminds

The best projects serve a real use case Comment “data” for all the links and project descriptions #tech #data #datascience #ml #explore

AI tool for data analysis ✅ . In this reel i have shared one AI tool that you can use to complete your statistics or complete your dat analysis for your thesis. This is a new update by @answerthis.io which can speed up your research work. . #phd #aitool #dataanalytics #research