Quick Facts

particular	details
Medium of instructions English	Mode of learning Self study	Mode of Delivery Video and Text Based

Course overview

Python 3: Project-based Python, Algorithms, Data Structures course is an online programme designed for the programmers and approachable for beginners that introduces coding with Python and the way to use Python in building Algorithms and Data Structures with Projects. The curriculum helps the participants to advance their potential in computer science, boosting their chance of being prioritized in the job market.

Python 3: Project-based Python, Algorithms, Data Structures online course, offered by Udemy, is structured in two parts. The first part provides insight into the basic concepts of Python and programming such as functions, strings, execution context, frames, etc. Whereas the second part talks about the topics related to Algorithms, Data Structures, and Performance Analysis including basics and advanced theories of algorithms, operations with Data structures, etc.

Python 3: Project-based Python, Algorithms, Data Structures certification offers the learners the course through a wide variety of course materials and exercises such as animation heavy instructional video, coding exercises, quizzes, Python scripts, assessment tests, live help, and designated office hours with the instructor.

Course and certificate fees

Fees information

₹ 449 ₹2,299

The fees for Python 3: Project-based Python, Algorithms, Data Structures is -

Head	Amount
Original Price	Rs. 2299.00
Discounted Price	Rs. 449.00

certificate availability

Yes

certificate providing authority

Udemy

What you will learn

Knowledge of algorithms Knowledge of python

The learners and programmers, at the end of Python 3: Project-based Python, Algorithms, Data Structures online certification, will be able to have a deep understanding of Python 3, programming languages, and to learn to build projects using Python. Plus, the programme will let the participants explore the Program Execution and Information flow. After the course, the students will be able to have an A-Z understanding of both Algorithms and Data Structures.

The syllabus

Intoduction

Introduction
Live help, office hours, and Python e-book
Course structure and content overview

Development environment setup

[IMPORTANT] - Note to beginners, please don't skip this
Section intro and overview
Command-line basics cheat sheet
Download and install Python
Setup Atom as text editor (setup used in this course)
Exploring Jupyter Notebooks interface (optional)

Python in-depth

Section intro and overview
Command-line/Terminal basics
Strings, variable, top-down execution flow
Strings basics - I
Let's get started!
(IMPORTANT) A note on quizzes, coding exercises and assessment tests
Strings: concatenation, indexing, slicing, python console
Strings basics - II
String methods, functions, and import statements
Strings basics - III
Strings basics exercise
Print formatting and special characters
Print formatting basics
Numbers, math, type casting and input
Math fun
Numbers practice
Assessment test - Python basics: Text, numbers and print formatting
Introduction to branching (if, elif, else) and conditionals
Building if, elif, else blocks incrementally
Branching practice
Lists, dicts, sets and tuples - Intro to compound data types in Python
Compound data types
Lists - an in-depth look 1
Lists 1
Lists practice
Lists - an in-depth look 2
Lists 2
More lists practice
Dictionaries, sets and tuples
Compound data types
Dictionaries practice
Sets and Tuples practice
Iterators, for loops, generators, list comprehension
For loops, generators and list comprehension
Assessment test - Lists, dicts, tuples, sets and iteration
While loops, enumerate, zip
While loops and more generators
Functions - an introductory look
Function basics - 1
Functions - implementation step by step
Functions basics - 2
Functions - execution context, frames, mutable vs. immutable arguments in-depth
Functions
Functions warm-up
(Challenge exercise) Function and logic practice
Assessment test - Functions, data types, iterators
Classes and objects - an introductory look
Classes intro
Building a custom Student class and intro to special methods
Custom object intro
Add some methods to the class
Special methods and what they are
Special methods
Reading from and writing to files
Read/write ops
Add read functionality and utilize special and static methods
Inheritance, subclasses and complete example class
Classes practice
Bonus Python specific content (Optional)
Python specifics - Lambda expressions
Lambda expressions and map function
Lambda expressions coding practice
Generators - under the hood
Build your own generators using yield

Algorithms - sort, performance, complexity and big O notation

Introduction to section 4 an overview of the material covered in it
Bubble sort demonstration and complexity analysis
Bubble sort implementation
Selection sort demonstration and complexity analysis
Selection sort implementation
Complexity quiz
Insertion sort demonstration and assignment handoff
Insertion sort programmatic execution step by step
Performance measures - deep dive with a programmatic view
Performance measure - calculation
O(nlog(n)) performance and algorithm prerequisites
Analyze log(n), visualize the math behind it and how it relates to algorithms
Merge sort visualization and complexity analysis
Implement merge function - part 1
Implement merge function - part 2
Implement merge function - part 3
A look at the recursive divide function
An in-depth look at execution context of recursive divide function
Recursion mini-project 1 - Countdown timer
Recursion mini-project 2 - Factorial
Recursion mini-project 3 - Fibonacci series
Complete merge sort algorithm and analyze updated execution context
Algorithm complexity quiz
Quicksort demo
Quicksort implementation
Section final project objective and motivation
Project specs and runtime execution intro
Project phase 1: Build random int list generator
Project phase 2: Get input from the user for size and range
Project phase 3: Add functions, calculate and analyze runtime
Project phase 4: Extract redundancies, create function, and cleanup code
Project phase 5: Add multiple run functionality and perform additional testing

Algorithm - Search and abstract data structures

Introduction to section 5
Intro to search - Linear, Bisection/Binary search
Search
Bisection/Binary search - Iterative implementation
Bisection search - recursive implementation
Project handoff: Bringing it together
Project conclusion walkthrough
Hashmaps and O(1) search complexity
Operation complexity
Hash project 1: Define and set up class blueprint with __init__ and __str__
Hash project 2: Set up insert and hashing functionality for data structure
Hash project 3: Add update functionality
Hash project 4: Build search method
Project: Use hash structure in a practical exercise - Quote finder
Project: Complete quote finder using hash table
Intro to linear data structures - Linked Lists
Linked list
Build a custom linked list
Recursively reverse a linked list
Visualize Stacks and Queues, and their operation
Stacks and Queues
Introduction to Trees and Binary Search Trees
Trees
In-order traversal of a Binary Search Tree
Traversal order
Build a Binary Search Tree from scratch - Insert
BST from scratch - In-order traversal
Traversal implementation
BST from scratch - Search
BST from scratch - Delete demo
BST - Deleting leaf nodes
BST - Deleting nodes with 1 child node
BST - Deleting nodes with 2 children
Binary Search Trees
Project: Job Scheduler using Binary Search Trees - Introduction
Project: Job Scheduler execution flow
Project: Job Scheduler implementation tips and notes
Thank you for taking the course and the next steps

Instructors

Mr Mashrur Hossain
Instructor
Freelancer

Other Bachelors

Mr Nathan House
Leading Cyber Security Expert
Freelancer

Other Bachelors

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Popular Searches

Python 3: Project-based Python, Algorithms, Data Structures

Online

₹ 449 2299

Quick Facts

Course overview

The highlights

Program offerings

Course and certificate fees

Fees information

certificate availability

certificate providing authority

What you will learn

The syllabus

Intoduction

Development environment setup

Python in-depth

Algorithms - sort, performance, complexity and big O notation

Algorithm - Search and abstract data structures

Instructors

Articles

Popular Articles

Latest Articles

Trending Courses

Popular Courses

Popular Platforms

Learn more about the Courses

Download the Careers360 App on your Android phone

Popular Searches

Python 3: Project-based Python, Algorithms, Data Structures

Online

₹ 449 2299

Quick Facts

Course overview

The highlights

Program offerings

Course and certificate fees

Fees information

certificate availability

certificate providing authority

What you will learn

The syllabus

Intoduction

Development environment setup

Python in-depth

Algorithms - sort, performance, complexity and big O notation

Algorithm - Search and abstract data structures

Instructors

Articles

Popular Articles

Latest Articles

Trending Courses

Popular Courses

Popular Platforms

Learn more about the Courses

Thank You!

Download the Careers360 App on your Android phone