Title: ChatGPT Cheat Sheet for Data Science (2025) Source: DataCamp
Description: This comprehensive cheat sheet serves as an essential guide for leveraging ChatGPT in data science workflows. Designed for both beginners and seasoned practitioners, it provides actionable prompts, code examples, and best practices to streamline tasks such as data generation, analysis, modeling, and automation. Key features include: - Code Generation: Scripts for creating sample datasets in Python using Pandas and NumPy (e.g., generating tables with primary keys, names, ages, and salaries) . - Data Analysis: Techniques for exploratory data analysis (EDA), hypothesis testing, and predictive modeling, including visualization recommendations (bar charts, line graphs) and statistical methods . - Machine Learning: Guidance on algorithm selection, hyperparameter tuning, and model interpretation, with examples tailored for Python and SQL . - NLP Applications: Tools for text classification, sentiment analysis, and named entity recognition, leveraging ChatGPT’s natural language processing capabilities . - Workflow Automation: Strategies for automating repetitive tasks like data cleaning (handling duplicates, missing values) and report generation .
The guide also addresses ChatGPT’s limitations, such as potential biases and hallucinations, while emphasizing best practices for iterative prompting and verification . Updated for 2025, it integrates the latest advancements in AI-assisted data science, making it a must-have resource for efficient, conversational-driven analytics.
❤️Why Grab This Book? - Hands-On Learning: Transform raw data into insights using Python. Perfect for coders who want to dive into stats without drowning in formulas! - Real-World Case Studies: Analyze datasets from the National Institutes of Health and more. Learn by doing, not just theorizing! - Jupyter Notebooks Included: Every chapter comes with interactive notebooks—run code, tweak examples, and solve exercises seamlessly. Ideal for Colab or local setups! - Cutting-Edge Topics: Explore regression, time series analysis, survival analysis, and Bayesian methods. Level up your data science toolkit! - Free & Open Source: Licensed under Creative Commons (CC BY-NC-SA). Download the PDF, fork the GitHub repo, and start learning today!
💡Perfect For: - Python devs eager to add stats/data skills. - Data enthusiasts craving practical, code-driven analysis. - Educators seeking a modern, interactive stats resource.
☄️Why This Book? - Learn by Doing: Perfect for beginners and coders upgrading to Python 3! Hands-on examples, exercises, and projects. - Jupyter Notebook Edition: Entire book redesigned as interactive notebooks! Run code, visualize results, and experiment live. - Free & Open Source: Licensed under CC BY-NC-SA—download, share, and contribute! - From a Pro: Authored by Allen Downey, computer science professor and creator of the legendary *Think Series* (*Think Stats*, *Think Bayes*). - Clear & Engaging: Simplifies complex concepts with humor and real-world analogies.
📈New in the 3rd Edition: - Updated for modern Python 3 practices. - Fully integrated Jupyter notebooks for interactive learning. - Expanded exercises and case studies.
👩💻Perfect For: - New programmers starting with Python. - Educators teaching coding or data science. - Data enthusiasts who want to code smarter.
Unlock the full potential of AI with our comprehensive ChatGPT Cheat Sheet for Business! Tailored specifically for professionals and entrepreneurs, this guide offers actionable insights on leveraging ChatGPT to streamline workflows, enhance customer interactions, and drive business growth. Whether you're a marketing specialist, project manager, or CEO, this cheat sheet is your go-to resource for mastering conversational AI.
From crafting compelling content to automating routine tasks, learn how to harness the power of ChatGPT in real-world business scenarios. With clear examples and step-by-step instructions, you’ll be able to integrate ChatGPT seamlessly into your operations, improving efficiency and innovation.
Don’t miss out on staying ahead of the competition by embracing the future of AI-driven solutions!
👩🏻💻 Guys , GenAI Community has created a free Python training course where you will learn both Python and its application in generative artificial intelligence!
✏️ The classes are live, but the videos of the classes are recorded and you can access them in your user panel. They last 10 to 12 weeks and are completely free!
✅ If you want to learn Python from scratch and enter the world of Generative Artificial Intelligence (GenAI), this course is for you! You don't need a programming background, just a desire to learn!
🥵What will you learn in this course?
✅ Python concepts: conditionals, loops, data structures ✅ Working with APIs, File Management, and Regex ✅ Object-oriented programming and modular coding ✅ And a whole host of other skills that will pave your way into the world of artificial intelligence and data science.
🔔 I should also mention that this community grew 5 times last year and is now one of the largest AI communities in the world. In the last hackathon they held, 5,000 people from all over the world participated and a prize of $25,000 was distributed among them.
🚀 Master Linear Algebra for Data Science with Gilbert Strang’s Essential Guide!
Discover "Linear Algebra for Data Science" – an 80-page powerhouse booklet by MIT’s legendary professor Gilbert Strang. Crafted during the Corona era as part of his ZoomNotes series, this concise resource distills practical linear algebra concepts into clear, actionable insights.
📘What’s Inside? - Core topics: Matrix Factorizations, Eigenvalues, Vector Spaces, and more! - Data Science connections: Learn how linear algebra powers ML, statistics, and optimization. - Perfectly complements Strang’s MIT video lectures for a seamless learning experience.
💡Why Choose This Booklet? - MIT-approved clarity: Strang’s teaching brilliance shines in every page. - Compact & focused: Skip the fluff – dive straight into key concepts. - Timeless resource: Ideal for students, professionals, and lifelong learners.
🔗Grab your copy and unlock the math behind data-driven innovation!
⚠️ O'Reilly Media, one of the most reputable publishers in the fields of programming, data mining, and AI, has made 10 data science books available to those interested in this field for free .
✔️ To use the online and PDF versions of these books, you can use the following links:👇
🚀80 Python Interview Questions with Answers & Code!🚀
✅Why this resource? - Covers frequently asked questions in Python interviews
📄 Each question comes with detailed answers and ready-to-use code snippets, making it perfect for beginners and experienced developers alike. Whether you're preparing for a job interview or leveling up your Python skills, this guide has you covered! 👀
🔥Don’t miss out! Save this, share it, and start preparing today! 💼
Applied Machine Learning in Python: a Hands-on Guide with Code 🧠
🚀 Exciting news! free, online e-book has been updated with fresh theory 📕, detailed illustrations 🎨, well-documented demos 📝, links to YouTube lectures 🎥, and interactive dashboards 📊!
Each chapter is downloadable 📥, making it easy for you to dive in, learn, and complete your #DataScience projects efficiently! 🧑💻
🌟 Dive into the world of Transformers and Self-Attention with one of YouTube's best-kept secrets! 🧠✨ Nobody breaks down complex AI concepts like Professor Bryce – his passion for teaching and dedication to clarity make every lesson unforgettable. 💡📚
Whether you're an AI enthusiast, a machine learning student, or just curious about cutting-edge tech, this video is a *must-watch*. Get ready to level up your understanding of how Transformers work in the most engaging way possible! 🚀
👨🏻💻 If you want to become a data science professional, follow this path! I've prepared a complete roadmap with the best free resources where you can learn the essential skills in this field.
🔢Step 1: Strengthen your math and statistics!
✏️ The foundation of learning data science is mathematics, linear algebra, statistics, and probability. Topics you should master:
✏️ Data science is changing every day, so it is necessary to update yourself every day and stay in regular contact with experienced people and experts in this field.
A brand-new, FREE course on LLM evaluations has just been launched in collaboration with Elvis Saravia! Dive into the world of AI model assessments and elevate your skills with cutting-edge insights.
📚What’s Included? - ⚖️ In-depth coverage of LLM-as-a-judge metrics, LLM unit testing, monitoring, and beyond - 🤖 Hands-on experience with real-world projects, such as building a YouTube search agent - 🎉 Access to open-source models via LiteLLM
Whether you're an AI enthusiast, developer, or researcher, this course is designed to empower you with practical knowledge and tools. Don’t miss out—enroll now to secure your spot! 👇 https://www.comet.com/site/llm-course/
A free course designed for people with some coding experience, who want to learn how to apply deep learning and machine learning to practical problems. New!
