Python Fundamentals

Take your data analysis skills to the next level by mastering Python programming. This essential course allows you to gain skills that is critical for building powerful analytical solutions and becoming a professional analyst.

Course curriculum

1. 1.1 Introduction
2. 1.2 Single & Multiline Comments
3. 1.3 Syntax & Semantics
4. 1.4 Case Sensitivity
5. 1.5 Basic Jupyter Cell Controls
6. 1.6 Indentation
7. 1.7 Common Syntax Errors
8. 1.8 Simple Code Examples
9. 1.9 Activity: Python Syntax and Structure Guide
10. 1.10 Activity: Data Types and Variables Guide
11. 1.11 Activity: Data Types and Variables Practice
12. 1.12 Test Your Knowledge
1. 2.1 Introduciton
2. 2.2 Arithmetic Operators
3. 2.3 Comparison Operators
4. 2.4 Logical Operators
5. 2.5 Identity Operators
6. 2.6 Activity: Basic Operators Guide
7. 2.7 Activity: Basic Operators Practice
8. 2.8 Test Your Knowledge
1. 3.1 Introduction
2. 3.2 If/else & elif Statements
3. 3.3 Nested Conditional Statements
4. 3.4 Common Errors & Best Practices
5. 3.5 Coding Exercise
6. 3.6 Test Your Knowledge
1. 4.1 Introduction
2. 4.2 For Loop
3. 4.3 While Loop
4. 4.4 Loop Control Statement
5. 4.5 Nested Loops
6. 4.6 Activity: Basic Control Flow Statements Guide
7. 4.7 Activity: Basic Control Flow Practice
8. 4.8 Activity: Reinforcing Basic Control Flow Skills
9. 4.9 Test Your Knowledge
1. 5.1 Introduction
2. 5.2 Basic Concepts
3. 5.3 Nested Lists
4. 5.4 List Operations
5. 5.5 Test Your Knowledge
1. 6.1 Introduction
2. 6.2 Clear Method
3. 6.3 Slicing Method
4. 6.4 Sort Method
5. 6.5 Index Method
6. 6.6 Count Method
7. 6.7 Len Method
8. 6.8 List Concatenation
9. 6.9 Looping Through Lists
10. 6.10 List Comprehension
11. 6.11 Multidimensional Data
12. 6.12 Test Your Knowledge
1. 7.1 Introduction
2. 7.2 Max( ) & Min( )
3. 7.3 Sum( )
4. 7.4 Merging Lists
5. 7.5 Removing Duplicates with Set( )
6. 7.6 Search & Filter in Lists
7. 7.7 Any vs All
8. 7.8 Real World Examples Exercise
9. 7.9 Activity: Practice Python Lists basics
10. 7.10 Activity: List Comprehensions Practice
11. 7.11 Test Your Knowledge
1. 8.1 Introduction
2. 8.2 Create, Access & Modify Dictionaries
3. 8.3 Dictionary Comprehension
4. 8.4 Common Errors & Examples
5. 8.5 Test Your Knowledge
1. 9.1 Introduction
2. 9.2 Creating & Accessing Tuples
3. 9.3 Concatenation Using Tuples
4. 9.4 Tuple Methods
5. 9.5 Packing & Unpacking Tuples
6. 9.6 Nested Tuples
7. 9.7 Test Your Knowledge
1. 10.1 Introduction
2. 10.2 Creating a Set
3. 10.3 Elements in a Set
4. 10.4 Working with Sets
5. 10.5 Find & Returning Sets
6. 10.6 Mathematical Operations
7. 10.7 Real World Examples Exercise
8. 10.8 Test Your Knowledge
1. 11.1 Introduction
2. 11.2 Creating Functions
3. 11.3 Why Do We Need Functions?
4. 11.4 Defining & Calling Functions
5. 11.5 Function Parameters
6. 11.6 Variable Length Arguments
7. 11.7 Return & Pass Statements
8. 11.8 Examples & Exercise
9. 11.9 Activity: Basic Functions Guide
10. 11.10 Activity: Basic Functions Practice
11. 11.11 Test Your Knowledge
1. 12.1 Introduction
2. 12.2 Creating & Using Lambda Functions
3. 12.3 Using Lambda with Sort( )
4. 12.4 Using Lambda with Filter( )
5. 12.5 Using Lambda with Map( )
6. 12.6 Combining Map( ) & Filter( )
7. 12.7 Using the Reduce( ) Function & Functools
8. 12.8 Where do we use Lambda Functions?
9. 12.9 Test Your Knowledge
1. 13.1 Introduction
2. 13.2 Example - Healthcare
3. 13.3 Example - HR
4. 13.4 Example - IT
5. 13.5 Example - Retail
6. 13.5 Test Your Knowledge
1. 14.1 Introduction
2. 14.2 Modules & Packages
3. 14.3 Why Use Modules & Packages?
4. 14.4 Importing, Compiling & Loading Modules
5. 14.5 Caching Modules
6. 14.6 Test Your Knowledge
1. 15.1 Introduction
2. 15.2 Common Standard Library Modules
3. 15.3 Regular Expression in Modules
4. 15.4 Iterative Modules
5. 15.5 Collection Modules
6. 15.6 Statistics Modules
7. 15.7 Test Your Knowledge
1. 16.1 Introduction to File Handling
2. 16.2 Reading & Writing Files in Python
3. 16.3 Writing Binary Files in Python
4. 16.4 Copy Content in Files in Python
5. 16.5 Count Lines, Words and Characters in Python
6. 16.6 Write Multiple Lines from a List
7. 16.7 Best Practices Using File Handling
8. 16.8 Activity: Error Handling Guide
9. 16.9 Activity: Error Handling Practice
1. 17.1 Introduction to Exception Handling
2. 17.2 Error Name & Syntax Error
3. 17.3 Zero Division Error
4. 17.4 Handling Files Using Exception Handling
5. 17.5 Common Syntax & Exceptions
6. 17.6 Finally Block in Python
1. Capstone Project: Python Code Craft Challenge
2. Capstone Project: Mastering Python Basics Through Code Debugging
3. Capstone Project : Disneyland Adventure!
1. Course Feedback Form

About this course

141 lessons
1 hour of video content

ITonlinelearning Academy

Python Fundamentals

Course curriculum

Module 1 : Python Basics

Module 2 : Python Operators

Module 3 : Conditional Statements

Module 4 : Loops in Python

Module 5 : Python Lists

Module 6 : List Methods in Python

Module 7 : Python List Functions

Module 8 : Python Nested Dictionary & Comperehension

Module 9 : Python Tuples

Module 10 : Python Sets

Module 11 : Python Functions

Module 12 : Lambda Functions

Module 13 : Real World Examples

Module 14 : Modules

Module 15 : Standard Library Overview

Module 16: Python File Handling

Module 17 : Exception Handling

Python Fundamentals Capstone Projects

Course Feedback

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