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Gemini in Google Sheets: The Easiest Way to Use AI for Data Analysis

Tired of wrestling with complex formulas in Google Sheets? Data analysis just got a lot easier.


With the new Gemini AI in Google Sheets, you can stop writing code and start getting insights by simply asking questions in natural language.


We wrote a full, step-by-step tutorial showing you how to leverage this new AI for:


- Quantitative Analysis: Instantly find trends and build charts from sales data using the "Ask Gemini" panel.


- Qualitative Analysis: Use the AI() function to perform sentiment analysis on thousands of rows of text.


- Data Cleaning: Incredibly, watch Gemini extract clean latitude and longitude coordinates from messy user-provided location data.


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🚀 AI Coding in Colab with Gemini

Google Colab now integrates directly with Gemini, turning AI into a true collaborator in coding and data science.


In this hands-on tutorial, we connect Colab to GitHub and MongoDB, securely manage credentials, and let Gemini generate, explain, and run Python code — building a full Twitter network analysis in minutes, all in the cloud.


See how AI transforms coding from automation to collaboration:



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ChatGPT Connects Spotify, Coursera, and Zillow ☁️🤖

ChatGPT is now more than a chat tool — it connects directly to real apps like Spotify, Coursera, and Zillow.

A quick demo shows how AI links cloud data for music, learning, and insights — all in one chat.

The future of AI is connected. ☁️🤖


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🎓 LBSocial Courses Are Now Live on YouTube!

We’re thrilled to join the new YouTube Courses program — a feature that transforms playlists into structured, step-by-step learning experiences.


Explore our free online courses covering:

 💻 Python Programming

 🌍 Geographic Information Systems (GIS)

 📊 Data Visualization & Analysis

 ☁️ Cloud Computing and Big Data


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Build your own AI agent — no coding required.

In our latest tutorial, we demonstrate how to use the new OpenAI Agent Builder to create a complete AI workflow that can classify questions, explain concepts, run code, search the web, and connect through widgets — all in a simple, no-code interface.

You’ll learn how to apply tools like Guardrails, If/Else logic, File Search, Web Search, Code Interpreter, and Data Transform to design reliable and intelligent AI agents step by step.

Watch the full tutorial on LBSocial:


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I Just Trained My Own LLM Model — No Coding at All

You don’t need to be a programmer to fine-tune your own AI model anymore. In this demo, we build a custom “Study Mode” tutor using OpenAI’s platform — just upload data, click Train, and the model learns your style.


Fine-tuning changes how the model behaves, Prompt Engineering tells it what to do, and RAG (Retrieval-Augmented Generation) adds real knowledge to reduce hallucinations.


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From Prompt to AI Agent: Copilot + Codespaces 🤖

Watch GitHub Copilot Pro turn an idea into a working AI Agent in Python. It researches websites, stores results in a vector database, and generates a summary — all tested directly in GitHub Codespaces, no local setup needed. 🚀


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Google NotebookLM 2025 Features

Google has just updated NotebookLM for 2025, and the new features make it more than just a note-taking tool—it’s becoming a comprehensive AI learning companion.


In our latest tutorial, we walk through:


- Importing data and creating notebooks

- Using quizzes, flashcards, video overviews, and mind maps


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OpenAI Codex: Your AI Coding Agent in Action

What does agent-based coding look like?


 With OpenAI Codex as your coding agent, a simple prompt can generate, review, and push working code directly to GitHub.


At LBSocial, we’re committed to teaching the future of AI-powered coding.


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