Lecture#14 | Numpy part3 & Statistics | Learn Python for Data Analysis скачать в хорошем качестве

Lecture#14 | Numpy part3 & Statistics | Learn Python for Data Analysis

NumPy Tutorial: Creating 3D Arrays + Mean, Median, Variance & Standard Deviation in Jupyter Notebook In this beginner-friendly NumPy tutorial, we will explore how to create 3D arrays in NumPy and perform essential statistical operations such as Mean, Median, Variance, and Standard Deviation using different axes. This video is perfect for students, data analysts, and anyone learning Python for data science. 🔍 What You’ll Learn: How to create 3D NumPy arrays Understanding array dimensions*, *shape*, and *axes How to apply mean() and median() operations along axis 0, axis 1 & axis 2 How to calculate Variance (var) and Standard Deviation (std) with examples Practical demonstrations in Jupyter Notebook Beginner-friendly explanations with real-time coding 🧪 Topics Covered: Introduction to NumPy Creating 3D arrays (`np.array`, `np.arange`, `reshape`) Statistical functions: ✔ `np.mean()` ✔ `np.median()` ✔ `np.var()` ✔ `np.std()` Axis-wise calculation explained with examples 💻 Tools Used: Python NumPy Jupyter Notebook 🎯 Who Should Watch? Beginner Python learners Students working on data analysis projects Anyone preparing for a data analytics internship Those wanting to strengthen NumPy fundamentals 👍 Don’t Forget! If you find the video helpful, *LIKE**, **SUBSCRIBE**, and **SHARE* with your classmates. #pythontutorial #coding #dataanlysis #youtube #programming #python #pythonforbeginners #pythonfordataanalysis #pythonforeveryone #youtubevideo