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Hello everyone Today'd update Day 8/100 • Worked on a mini Zomato project • Performed basic data analysis on the dataset • Explored insights using Python • Created visualizations using Matplotlib • Revised important NumPy concepts and functions Focu

Python is a beginner-friendly and powerful programming language, perfect for diving into data science. Start by learning the basics like variables, loops, and functions. Explore popular libraries such as Pandas for data manipulation, NumPy for nume

Hi everyone! 👋 I’m Ankit Rai, currently pursuing my MCA with a specialization in Data Science and have recently completed “The Ultimate Job Ready Data Science Course” by CodeWithHarry, focusing on real-world projects using Python, SQL, Machine Learn

Learned OOPS concepts took me 3 days to wrap it up! Next up: diving into NumPy. Step by step, building a strong foundation for my AIML journey. Anyone else on the same path or wanna join in? Let’s learn and grow together! 🚀 #Python #OOPS #NumPy #AIM

I’ve been strengthening my data analysis and visualization fundamentals by building multiple end-to-end analytical projects using Python, Pandas, Matplotlib, and Seaborn. Projects worked on: Video Game Market Analysis Football Performance Analysis (

Day 5 of learning Data Science as a beginner Topic: Using NumPy in Data Science Python despite having much advantages (like being beginner friendly, easy to read) is also famous for its one limitation i.e. it is slow. We don't really feel much abou

Hello everyone, I am a recent college graduate with a degree in Information Technology, and I am actively seeking internship opportunities in the Data Analytics field. I have hands-on experience with advanced Excel, Power BI , Python libraries such

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Essential Python Topics for Data Analysts 😄👇 - Data Structures: Lists, Dictionaries, Sets, and Tuples. - NumPy: Array manipulation for numerical operations. - Pandas: Data manipulation and analysis with DataFrame. - Data Cleaning: Handling missin