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  • Algorithm Python

Algorithm Python Courses

Algorithm Python courses can help you learn sorting algorithms, search algorithms, and data structures like trees and graphs. You can build skills in problem-solving, optimizing code efficiency, and implementing algorithms in real-world applications. Many courses introduce tools such as Jupyter Notebooks and libraries like NumPy and Pandas, that support applying algorithms in data analysis and artificial intelligence projects.

Popular Algorithm Python Courses and Certifications

  • Status: Free Trial
    Free Trial
    U

    University of California San Diego

    Data Structures and Algorithms

    Skills you'll gain: Data Structures, Graph Theory, Algorithms, Program Development, Bioinformatics, Data Storage, Development Testing, Theoretical Computer Science, Computational Thinking, Network Analysis, Test Case, Programming Principles, Computer Programming, Python Programming, C and C++, Java, Rust (Programming Language), Javascript, Software Testing, Debugging

    4.6
    Rating, 4.6 out of 5 stars
    ·
    17K reviews

    Intermediate · Specialization · 3 - 6 Months

  • Status: New
    New
    Status: Free Trial
    Free Trial
    L

    Logical Operations

    Advanced Programming Techniques with Python

    Skills you'll gain: Object Oriented Programming (OOP), Object Oriented Design, Database Application, Python Programming, Unit Testing, Computer Programming, Restful API, Cross Platform Development, Package and Software Management, Scripting, Data Science, Program Development, Computer Programming Tools, Software Development, Data Processing, Debugging, Programming Principles, User Interface (UI) Design, Regression Analysis, Machine Learning

    Intermediate · Specialization · 1 - 3 Months

  • Status: Free Trial
    Free Trial
    I

    IBM

    Python for Data Science, AI & Development

    Skills you'll gain: Data Import/Export, Programming Principles, Web Scraping, File I/O, Python Programming, Jupyter, Data Structures, Pandas (Python Package), Data Manipulation, JSON, Computer Programming, Restful API, NumPy, Object Oriented Programming (OOP), Application Programming Interface (API), Automation, Data Analysis

    4.6
    Rating, 4.6 out of 5 stars
    ·
    43K reviews

    Beginner · Course · 1 - 3 Months

  • Status: Free Trial
    Free Trial
    U

    University of Michigan

    Python Data Structures

    Skills you'll gain: Data Structures, Data Processing, Data Analysis, Python Programming, Data Manipulation, Software Installation, Development Environment

    4.9
    Rating, 4.9 out of 5 stars
    ·
    97K reviews

    Beginner · Course · 1 - 3 Months

  • Status: New
    New
    Status: Free Trial
    Free Trial
    G

    Google

    Hello, Python!

    Skills you'll gain: Package and Software Management, Data Science, Computer Programming, Mathematical Software

    4.8
    Rating, 4.8 out of 5 stars
    ·
    65 reviews

    Beginner · Course · 1 - 4 Weeks

  • Status: New
    New
    Status: Free Trial
    Free Trial
    L

    Logical Operations

    Introduction to Programming with Python

    Skills you'll gain: Object Oriented Programming (OOP), Data Structures, File I/O, Debugging, Data Processing, Application Development, File Management, File Systems, Programming Principles, Computer Programming, Python Programming, Scripting, Scripting Languages, Operating Systems, Software Development, Virtual Machines, Cross Platform Development

    Beginner · Specialization · 1 - 3 Months

What brings you to Coursera today?

  • Status: New
    New
    Status: Free Trial
    Free Trial
    P

    Packt

    Data Structures Algorithms in Java – SECRETS to Ace LeetCode

    Skills you'll gain: Data Structures, Object Oriented Programming (OOP), Java Programming, Object Oriented Design, Computational Thinking, Java, Algorithms, Debugging, Programming Principles, Computer Programming, Pseudocode, Mathematical Theory & Analysis, Integrated Development Environments, Analysis, Solution Design, Analytical Skills

    Intermediate · Specialization · 3 - 6 Months

  • Status: New
    New
    Status: Free Trial
    Free Trial
    L

    Logical Operations

    Advanced Python: Data Science, Testing, and Distribution

    Skills you'll gain: Data Cleansing, Data Preprocessing, Unit Testing, Package and Software Management, Python Programming, Data Science, Computer Programming, Debugging, Scripting, Software Development, Machine Learning, Database Application, Object Oriented Programming (OOP), Regression Analysis, Programming Principles, Scripting Languages, Databases, Object Oriented Design, Relational Databases, User Interface (UI) Design

    Mixed · Course · 1 - 4 Weeks

  • Status: New
    New
    Status: Free Trial
    Free Trial
    C

    Coursera

    Optimize Python for Agentic AI

    Skills you'll gain: Performance Tuning, Artificial Intelligence, Maintainability, Python Programming, Performance Analysis, Software Architecture, Technical Writing, Program Standards

    Intermediate · Course · 1 - 4 Weeks

  • Status: New
    New
    Status: Free Trial
    Free Trial
    L

    Logical Operations

    PCAP: Python OOP and Code Streamlining

    Skills you'll gain: Object Oriented Programming (OOP), Object Oriented Design, Python Programming, Computer Programming, Code Review, Programming Principles, Maintainability, Scripting, Scripting Languages, Software Development

    Mixed · Course · 1 - 4 Weeks

  • Status: New
    New
    Status: Free Trial
    Free Trial
    E

    EDUCBA

    Python Mastery: Core Concepts, Data Structures & OOP

    Skills you'll gain: File I/O, Object Oriented Programming (OOP), Object Oriented Design, Python Programming, Programming Principles, Data Dictionary, Computer Programming, Data Structures, Debugging, Computational Logic, Command-Line Interface, Data Cleansing, Software Design Patterns, Functional Design, Scripting, Operating Systems, Pseudocode, Development Environment, File Management, Computational Thinking

    4.9
    Rating, 4.9 out of 5 stars
    ·
    57 reviews

    Beginner · Specialization · 3 - 6 Months

  • Status: Free Trial
    Free Trial
    C

    Codio

    C++: Data Structures and Algorithms

    Skills you'll gain: Computational Thinking, Algorithms, Graph Theory, Data Structures, C++ (Programming Language), C and C++, Programming Principles, Computer Programming, Object Oriented Programming (OOP), Technical Design, Theoretical Computer Science

    4.6
    Rating, 4.6 out of 5 stars
    ·
    16 reviews

    Intermediate · Specialization · 1 - 3 Months

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In summary, here are 10 of our most popular algorithm python courses

  • Data Structures and Algorithms: University of California San Diego
  • Advanced Programming Techniques with Python: Logical Operations
  • Python for Data Science, AI & Development: IBM
  • Python Data Structures: University of Michigan
  • Hello, Python!: Google
  • Introduction to Programming with Python: Logical Operations
  • Data Structures Algorithms in Java – SECRETS to Ace LeetCode: Packt
  • Advanced Python: Data Science, Testing, and Distribution: Logical Operations
  • Optimize Python for Agentic AI: Coursera
  • PCAP: Python OOP and Code Streamlining: Logical Operations

Skills you can learn in Algorithms

Graphs (22)
Mathematical Optimization (21)
Computer Program (20)
Data Structure (19)
Problem Solving (19)
Algebra (12)
Computer Vision (10)
Discrete Mathematics (10)
Graph Theory (10)
Image Processing (10)
Linear Algebra (10)
Reinforcement Learning (10)

Frequently Asked Questions about Algorithm Python

Algorithm Python refers to the use of Python programming language to implement algorithms, which are step-by-step procedures or formulas for solving problems. Understanding algorithms is crucial because they form the backbone of computer science and software development. They enable efficient data processing, problem-solving, and decision-making across various applications, from simple tasks to complex systems. Mastering algorithmic concepts in Python not only enhances programming skills but also prepares individuals for real-world challenges in technology and data analysis.‎

With skills in algorithm Python, you can pursue various job roles in the tech industry. Positions such as software developer, data analyst, machine learning engineer, and data scientist often require a solid understanding of algorithms. Additionally, roles in cybersecurity, web development, and automation also benefit from algorithmic knowledge. As organizations increasingly rely on data-driven decision-making, the demand for professionals skilled in algorithm Python continues to grow.‎

To learn algorithm Python effectively, you should focus on several key skills. First, a strong foundation in Python programming is essential, including understanding data types, control structures, and functions. Next, familiarize yourself with algorithmic concepts such as sorting, searching, recursion, and complexity analysis. Additionally, knowledge of data structures like arrays, lists, stacks, and trees is crucial. Finally, practice problem-solving and coding challenges to apply these concepts in real-world scenarios.‎

There are numerous online courses available to learn algorithm Python. Some highly regarded options include the AI and Machine Learning Essentials with Python Specialization, which covers foundational concepts, and the Data Analysis with Python Specialization, which integrates algorithmic thinking with data analysis. Additionally, the Microsoft Python Development Professional Certificate offers a comprehensive curriculum that includes algorithmic principles.‎

Yes. You can start learning algorithm python on Coursera for free in two ways:

  1. Preview the first module of many algorithm python courses at no cost. This includes video lessons, readings, graded assignments, and Coursera Coach (where available).
  2. Start a 7-day free trial for Specializations or Coursera Plus. This gives you full access to all course content across eligible programs within the timeframe of your trial.

If you want to keep learning, earn a certificate in algorithm python, or unlock full course access after the preview or trial, you can upgrade or apply for financial aid.‎

To learn algorithm Python, start by selecting a course that aligns with your current skill level and learning goals. Begin with foundational Python programming courses if you're new to the language. Once comfortable, progress to more specialized courses focusing on algorithms and data structures. Engage in hands-on coding exercises and projects to reinforce your understanding. Additionally, participate in coding challenges on platforms like LeetCode or HackerRank to apply your skills in practical scenarios.‎

Typical topics covered in algorithm Python courses include basic programming concepts, data structures (like lists, stacks, queues, and trees), algorithm design techniques (such as divide and conquer, dynamic programming, and greedy algorithms), and complexity analysis. Courses may also explore specific algorithms for sorting and searching, as well as practical applications in data analysis and machine learning. This comprehensive coverage ensures that learners gain a robust understanding of how algorithms function and how to implement them in Python.‎

For training and upskilling employees in algorithm Python, courses like the Google IT Automation with Python Professional Certificate and the AI Agents and Agentic AI in Python: Powered by Generative AI Specialization are excellent choices. These programs provide practical skills and knowledge that can be directly applied in the workplace, enhancing team capabilities in automation, data analysis, and AI development.‎

This FAQ content has been made available for informational purposes only. Learners are advised to conduct additional research to ensure that courses and other credentials pursued meet their personal, professional, and financial goals.

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