Python Basics for Data Science : Part 4 | Data Types in Python | Beginner's Guide wit Coding

Python Basics for Data Science : Part 4 | Data Types in Python | Beginner's Guide wit Coding

This is Part 4 of my Python for Data Science tutorial series, where we’ll start from the absolute basics and build our way up to mastering Python for real-world Data Science projects. In this video, we’ll cover: ✅ What are commonly used data types in Python and Data Science ✅ How to convert one data type another type of data ✅ Examples of use cases of different data types ✅ What are careful considerations we need to make on different data types Whether you are completely new to coding or just starting your Data Science journey, this video will help you set a solid foundation. By the end, you’ll be ready to start writing simple Python programs and exploring the endless possibilities of Data Science and AI with Python. ✨ This is just the beginning! In the next videos in this series, we’ll dive deeper into Python programming, data structures, libraries (NumPy, Pandas, Matplotlib, Seaborn), and eventually into Machine Learning and Artificial Intelligence, including LLMs and GenAI. 👉 Don’t forget to Like, Share, and Subscribe to Data Speaks for more tutorials. 🔔 Hit the bell icon so you won’t miss Part 5 and beyond! #datascience #artificialintelligence #generativeai #machinelearning #llm #python #tutorial #data #dataanalytics #genai #learning #ai #ml #analytics #pythonfordatascience 🔗 Stay Connected: 📌 Subscribe:    / @dataspeaks4u   📌 LinkedIn:   / ibhusal