Here’s a structured course / tutorial content for "Data Analytics using Python" — tailored for an instructor or author named Bharti Motwani . The content balances theory, Python libraries, and hands-on case studies.
Course Title: 📊 Data Analytics using Python By Bharti Motwani
Target Audience:
Aspiring data analysts Business analysts moving to Python Students & professionals with basic Python knowledge data analytics using python bharti motwani
Prerequisites:
Basic Python syntax (variables, loops, functions) High school level math (mean, median, percentages)
Course Outline Module 1: Introduction to Data Analytics Here’s a structured course / tutorial content for
What is Data Analytics? (Descriptive, Diagnostic, Predictive, Prescriptive) Data Analytics lifecycle Role of Python in modern analytics Setting up environment: Anaconda, Jupyter Notebook, VS Code
Module 2: Python Refresher for Analytics
Data types, lists, dictionaries, sets, tuples List comprehensions, lambda functions Reading/writing files (CSV, Excel, JSON) Error handling in data pipelines tuples List comprehensions
Module 3: NumPy – Numerical Computing
Arrays vs Python lists Array operations, broadcasting Universal functions (ufuncs) Random number generation for simulation Case: Analyzing sales arrays & percentiles