#Data Analysis Ai

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

Data Analysis with ChatGPT part 1 📈 Follow @sundaskhalidd for part 2 💕 Have you tried using ChatGPT for date analysis? 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

Comment „Sheets“ to get it, your data analyst is just a WhatsApp message away. Dealing with data in a spreadsheet can be a hassle, especially when you’re on the go and need an instant answer. This automation changes all of that by turning your Google Sheet into an on-demand analysis tool that lives right in your pocket. This is a personal data analyst you can talk to. Here’s how it works. You send a quick, natural language question to a WhatsApp number—for example, „What were our sales for June?“ An AI agent, powered by n8n’s no-code workflow, connects directly to your Google Sheet. It analyzes the data, finds the exact insight you asked for, and sends you a clear, instant response. No more opening spreadsheets, searching for the right column, or building complex formulas. Just effortless, on-demand insights at your fingertips. Imagine you’re in a client meeting and need a specific metric, or you’re a team lead wanting a quick summary of a project’s status. With this agent, the answer is just a text message away. What kind of insights would you want to get from your data? #n8n #aiautomation

Data analysis isn't about crunching numbers anymore 🤯 Comment "docs" for a list of prompts and a guide around data analysis with AI. Mastering AI for data visualization is less about being a technician and more about becoming a strategic storyteller. This single shift in focus is what separates junior analysts from senior leaders.

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

Comment RESEARCH to get these FREE Deep Research AI Tools. Why pay $200 for ChatGPT’s deep research when you can get the same results for free? Sounds too good to be true, right? But it’s not. Let me show you. First up: Perplexity AI. Think of it as your personal research assistant. You type in a question, and it dives into hundreds of online sources to find answers. The result? A detailed report you can even download as a PDF. Simple, fast, and totally free. Next: Storm by Stanford University. Imagine having a tool that writes reports like Wikipedia—clean, accurate, and easy to read. It gives you everything: a table of contents, the article itself, and references neatly listed at the end. No fluff. Just facts. And then there’s Elicit AI. This one’s a powerhouse for researchers. Need a full research paper with proper citations? Done—in seconds. It’s like having a magic wand for academic work. The best part? These tools don’t cost a dime. Why spend $200 when you can get the same quality without breaking the bank? Try them out. You’ll wonder why anyone pays for research when these gems exist! #perplexity #elicitai #stormai #airesearch #deepresearch #aitools #ainews #aiindia #aicommunity

Data analysts are perfectly positioned to move into AI, but most don’t know where to start. Here’s your exact roadmap to make the transition.

Stop suffering in silence. These tools will level up your analysis game! Which one’s your fav? Comment down👇🏻 #dataanalysis #phdlife #statsmadeeasy #dataanalysis #rstats #prism #researchtools #scientificreels #academiaa #phd #phdwithanjali #juliusai @try_julius.ai

I won’t be mad if you copy this entire roadmap… #dataanalyst #dataanalysis #dataanalytics #data #analyst #techjobs #breakintotech #wfh #workfromhome #wfhjobs #remotejobs #remotework #excel #sql #tableau #python

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