DSANonTech Data Science and Analytics course for Non-tech Participants Feedback Please provide your daily feedback via the link here Day 1: Introduction to Data Science 1. Introduction to Data Science 2. Setting up Environment 3. Command Line Setup Day 2: Introduction to Python Programming 1. Python_Datatypes_Operators.ipynb 2. Iterative_statements_functions.ipynb 3. OOPs_basics.ipynb 4. Python_NumPy_Pandas.ipynb Day 3: Data Visualization & Statistics 1. Python_Plotting.ipynb 2. Statistical_tests_case_study.xlsx 3. Principal Component Analysis Day 4: Data Science Algorithms 1. Linear_Regression_Pipeline.ipynb 2. Logistic_Regression_KNN.ipynb 3. Naive_Bayes_Pipeline.ipynb Day 5: Data Science Tools 1. LaTeXTutorial.pdf Blog 2. Command Line Basics Blog 3. GitHub Tutorial 4. Productivity Tools for Researchers No Code Data Science Platforms 1. Teachable machine 2. Mediapipe studio 3. Edge Impulse 4. TensorFlow Playground 5. Keyword Spotting Dataset