Data Science
СтатистикаLearn how to analyze data effectively and manage databases with ease. Buy ads: https://telega.io/c/sql_databases
- Последний пост
- 14 авг.
- Последнее чтение
- 15 авг.
- Постов за неделю
- 4
- Всего постов
- 22
- Тип
- открытый
- Язык
- английский
- Категория
- Познавательное
- В каталоге с
- 13 авг.
- 1/24сутки в ленте
- 2 915
- 1/48двое суток
- 3 340
- 1/72трое суток
- 3 602
Оценка по просмотрам недавних постов: пост набирает почти всё за первые сутки.
Посты
📱Data Science 📱Advanced Spatial Data Visualization in Python
🔅 Advanced Spatial Data Visualization in Python 📝 Discover advanced techniques in spatial data visualization with Python. Learn how to create interactive, 3D, and temporal map visualizations to tell more engaging spatial stories. 🌐 Author: Milan Janosov, Ph.D. 🔰 Level: Advanced ⏰ Duration: 1h 39m 📋 Topics: Data Visualization, Spatial Analysis, Spatial Modeling 🔗 Join Data Science for more courses
SQL vs. Pandas
Data Science Jobs Checklist
💡 The Basics of Database Sharding and Partitioning in System Design 📱 SQL Databases
📱Data Science 📱Build with AI: SQL Agents with Large Language Models
🔅 Build with AI: SQL Agents with Large Language Models 📝 Learn how to build an AI SQL agent from scratch using Python and different LLM frameworks. 🌐 Author: Rami Krispin 🔰 Level: Beginner ⏰ Duration: 1h 6m 📋 Topics: Large Language Models, SQL, Artificial Intelligence 🔗 Join Data Science for more courses
Array Data Structure Explained Arrays are one of the most fundamental data structures in programming. In this short video, you’ll learn how arrays store elements in contiguous memory, how indexing works, and why arrays are fast and efficient for data access. 🔹 What is an Array? 🔹 Indexing & Memory Representation 🔹 Real-world visualization 🔹 Arrays vs Python Lists Perfect for beginners, CS students, and interview prep 🚀 Understand the concept clearly with a colorful, professional visual explanation.
🗓️ Your Pandas Cheat Sheet Is Here! If you’re learning Data Science or working with data daily, this one’s a lifesaver. I’ve put together the most essential Pandas commands you’ll use for: ✔️ Cleaning data ✔️ Filtering rows ✔️ Merging tables ✔️ Aggregations ✔️ Window functions ...and much more.
📕 SQL basics cheatsheet
📱Data Science 📱Data Science Foundations: Fundamentals
📱Data Science 📱Data Science Foundations: Fundamentals
📱Data Science 📱Data Science Foundations: Fundamentals
📱Data Science 📱Data Science Foundations: Fundamentals
📱Data Science 📱Data Science Foundations: Fundamentals
📱Data Science 📱Data Science Foundations: Fundamentals
📱Data Science 📱Data Science Foundations: Fundamentals
📱Data Science 📱Data Science Foundations: Fundamentals
📱Data Science 📱Data Science Foundations: Fundamentals
📱Data Science 📱Data Science Foundations: Fundamentals