This course offers an immersive experience into Python programming, focusing on data analysis and computer science applications. You will gain hands-on experience in writing Python code, tackling real-world problems, and processing data efficiently. The course is structured to provide a progressive learning curve, from understanding the basics of Python programming to exploring advanced data structures and file manipulation techniques. It’s an ideal blend of theoretical knowledge and practical application, making it suitable for those aiming to enhance their coding skills in the evolving landscape of data analysis and computer science.

*** PYTHON FOR DATA ANALYSIS: BECOME A PRO PYTHON PROGRAMMER TODAY ***

Module 01: Getting Started with Python

• Why Learn to Code?
• Why Python?
• Installing Python on Windows
• Installing Python on MAC
• Installing python on Linux
• Get your Integrated Development Environment
• Run Your First Code, “Hello World”

Module 02: Data Types and Operators in Python

• Arithmetic Operators
• Variables and Assignment Operators
• Numeric Operators
• Order of Evaluation
• Correct Variable names
• Integers and Floats
• Booleans, Comparison Operators, and Logical Operators
• Strings in Python
• Type and Type Conversion
• String Methods
• Taking inputs
• Exercise

Module 03: Data Structures for Python

• Lists and Membership Operators
• Necessity of Lists
• List Methods
• Tuples
• Sets
• Dictionaries
• Exercise

Module 04: Control Flow in Python

• Conditional Statements
• Boolean Expressions for Conditions
• For Loops
• While Loops
• For Loop vs While Loops
• Try and Except Structure
• Break, Continue
• Exercise

Module 05: Functions in Python

• Defining Function
• Passing Arguments
• Returning values
• Documentation
• Exercise

Module 06: Python Arrays, Iterators and Generators

• What is an Array?
• Access the Elements of an Array
• The Length of an Array
• Looping Array Elements
• Adding Array Elements
• Removing Array Elements
• Array Methods
• Iterators and Generators
• Generator Expression
• Exercise

Module 07: File Manipulation in Python

• Opening the Files
• Writing, Reading, Creating and Deleting the Files
• Extracting lines from files in Python (Parsing and Extraction)
• Important Python File methods

• Beginners in programming aspiring to learn Python.
• Data analysts seeking to enhance their coding skills.
• Computer science students and enthusiasts.
• Professionals in various fields aiming to integrate Python into their work.
• Educators and trainers in computer science and data analysis.

All you need is a smart device, a reliable internet connection, and a basic command of English and you’re good to go!