Python Data Science – Guru Schools

Python Data Science

Course Overview

Course Curriculum

Week 1: Python Basics

Python introduction and installation
Variables and data types
Operators and expressions
Control flow: if, elif, else
Loops: for and while

Week 2: Data Types

Week 3: Functions and Modules

Week 4: OOP Concepts

Week 5: Basic Statistics

Types of statistics
Population vs sample
Mean, median, mode
Variance and standard deviation
Random variables
Percentiles & quartiles
5-number summary and histograms
Normal distribution and Z scores

Week 6: Numpy and Pandas

Introduction to Numpy
Creating and manipulating arrays
Indexing, slicing and iterating arrays
Reshaping and concatenating arrays
Introduction to Pandas
Series and DataFrame structures
Data loading and storage formats
Data cleaning and transformation

Week 7: Data Visualization

Week 8: EDA and ML Basics

Week 9: Advanced Regression and Metrics

Week 10: Classification Models

Week 11: Boosting Techniques

Week 12: Unsupervised Learning