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    IBM Python Courses Online

    Learn Python programming with IBM. Understand Python syntax, libraries, and applications in data science and AI.

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    Explore the IBM Python Course Catalog

    • Status: New
      New
      Status: Free Trial
      Free Trial
      D

      Duke University

      Programming for Python Data Science: Principles to Practice

      Skills you'll gain: Matplotlib, Pandas (Python Package), NumPy, Computational Thinking, Predictive Modeling, Data Cleansing, Data Structures, Data Visualization Software, Visualization (Computer Graphics), Debugging, Data Analysis, Object Oriented Programming (OOP), Data Manipulation, Regression Analysis, Python Programming, Data Science, Algorithms, Simulations, Statistical Methods, Program Development

      3.8
      Rating, 3.8 out of 5 stars
      ·
      70 reviews

      Beginner · Specialization · 3 - 6 Months

    • Status: Free Trial
      Free Trial
      I

      IBM

      Incident Response and Digital Forensics

      Skills you'll gain: Incident Response, Computer Security Incident Management, Intrusion Detection and Prevention, Threat Detection, Cyber Threat Hunting, Incident Management, Cybersecurity, Security Information and Event Management (SIEM), Security Controls, Document Management, Data Integrity, Technical Communication, Technical Documentation

      4.7
      Rating, 4.7 out of 5 stars
      ·
      1.9K reviews

      Intermediate · Course · 1 - 4 Weeks

    • Status: Free
      Free
      P

      Princeton University

      Algorithms, Part I

      Skills you'll gain: Data Structures, Algorithms, Java, Performance Testing, Computer Programming, Theoretical Computer Science, Object Oriented Programming (OOP), Computational Thinking

      4.9
      Rating, 4.9 out of 5 stars
      ·
      12K reviews

      Intermediate · Course · 3 - 6 Months

    • Status: Free Trial
      Free Trial
      I

      IBM

      Introduction to Relational Databases (RDBMS)

      Skills you'll gain: Database Design, MySQL, IBM DB2, Relational Databases, Databases, Database Management Systems, PostgreSQL, Data Management, Database Architecture and Administration, SQL, Data Integrity, Data Modeling, Data Manipulation, Command-Line Interface

      4.6
      Rating, 4.6 out of 5 stars
      ·
      705 reviews

      Beginner · Course · 1 - 4 Weeks

    • Status: Free Trial
      Free Trial
      U

      University of Washington

      Machine Learning Foundations: A Case Study Approach

      Skills you'll gain: Applied Machine Learning, Feature Engineering, Regression Analysis, Machine Learning, Image Analysis, Artificial Intelligence and Machine Learning (AI/ML), Supervised Learning, Artificial Intelligence, Deep Learning, Classification And Regression Tree (CART), Computer Vision, Application Development, Predictive Modeling, Natural Language Processing, Text Mining, Data Mining, Information Architecture

      4.6
      Rating, 4.6 out of 5 stars
      ·
      14K reviews

      Mixed · Course · 1 - 3 Months

    • Status: Free Trial
      Free Trial
      I

      Imperial College London

      Mathematics for Machine Learning: Multivariate Calculus

      Skills you'll gain: Regression Analysis, Calculus, Advanced Mathematics, Machine Learning Algorithms, Statistical Analysis, Linear Algebra, Artificial Neural Networks, Python Programming, Derivatives

      4.7
      Rating, 4.7 out of 5 stars
      ·
      5.7K reviews

      Beginner · Course · 1 - 3 Months

    • Status: Free Trial
      Free Trial
      I

      IBM

      Developing Front-End Apps with React

      Skills you'll gain: React Redux, React.js, Front-End Web Development, JavaScript Frameworks, UI Components, Full-Stack Web Development, Web Applications, Javascript, Event-Driven Programming, Cascading Style Sheets (CSS), Data Structures

      4.4
      Rating, 4.4 out of 5 stars
      ·
      680 reviews

      Intermediate · Course · 1 - 4 Weeks

    • Status: Free Trial
      Free Trial
      I

      IBM

      Supervised Machine Learning: Regression

      Skills you'll gain: Supervised Learning, Regression Analysis, Machine Learning Algorithms, Machine Learning, Predictive Modeling, Classification And Regression Tree (CART), Statistical Modeling, Scikit Learn (Machine Learning Library), Feature Engineering, Pandas (Python Package), Performance Metric

      4.7
      Rating, 4.7 out of 5 stars
      ·
      741 reviews

      Intermediate · Course · 1 - 3 Months

    • Status: Free Trial
      Free Trial
      U

      University of California San Diego

      Bioinformatics

      Skills you'll gain: Bioinformatics, Molecular Biology, Dimensionality Reduction, Unsupervised Learning, Applied Machine Learning, Data Analysis, Computational Thinking, Graph Theory, Markov Model, Biochemistry, Life Sciences, Microbiology, Statistical Analysis, Medical Science and Research, Precision Medicine, Biology, Pharmacology, Algorithms, Infectious Diseases, Data Mining

      4.3
      Rating, 4.3 out of 5 stars
      ·
      1.2K reviews

      Beginner · Specialization · 3 - 6 Months

    • Status: Free Trial
      Free Trial
      U

      University of Michigan

      Django for Everybody

      Skills you'll gain: Application Deployment, Django (Web Framework), Object-Relational Mapping, HTML and CSS, Model View Controller, jQuery, Ajax, JSON, Database Design, SQL, Application Frameworks, Databases, Application Development, Javascript, Object Oriented Programming (OOP), Web Development, Data Modeling, Application Security, Web Applications, Web Servers

      4.7
      Rating, 4.7 out of 5 stars
      ·
      2.5K reviews

      Intermediate · Specialization · 3 - 6 Months

    • Status: Free Trial
      Free Trial
      I

      IBM

      SQL: A Practical Introduction for Querying Databases

      Skills you'll gain: SQL, Relational Databases, Microsoft SQL Servers, MySQL, Query Languages, Database Systems, Databases, Database Management, Stored Procedure, IBM DB2, Data Manipulation, Data Analysis, Transaction Processing

      4.7
      Rating, 4.7 out of 5 stars
      ·
      596 reviews

      Beginner · Course · 1 - 3 Months

    • Status: Free Trial
      Free Trial
      I

      IBM

      Collaborate Effectively for Professional Success

      Skills you'll gain: Collaboration, Teamwork, Virtual Teams, Cross-Functional Collaboration, Team Management, Meeting Facilitation, Leadership, Communication, Cultural Diversity

      4.5
      Rating, 4.5 out of 5 stars
      ·
      756 reviews

      Beginner · Course · 1 - 4 Weeks

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

    • Programming for Python Data Science: Principles to Practice: Duke University
    • Incident Response and Digital Forensics: IBM
    • Algorithms, Part I: Princeton University
    • Introduction to Relational Databases (RDBMS): IBM
    • Machine Learning Foundations: A Case Study Approach: University of Washington
    • Mathematics for Machine Learning: Multivariate Calculus: Imperial College London
    • Developing Front-End Apps with React: IBM
    • Supervised Machine Learning: Regression: IBM
    • Bioinformatics: University of California San Diego
    • Django for Everybody: University of Michigan

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