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    Master programming for software development. Learn various programming languages, algorithms, and problem-solving techniques.

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    Explore the Programming Course Catalog

    • D

      DeepLearning.AI

      Linear Algebra for Machine Learning and Data Science

      Skills you'll gain: Linear Algebra, NumPy, Dimensionality Reduction, Machine Learning Methods, Jupyter, Data Manipulation, Data Science, Applied Mathematics, Python Programming, Artificial Intelligence

      4.6
      Rating, 4.6 out of 5 stars
      ·
      2K reviews

      Intermediate · Course · 1 - 4 Weeks

    • G

      Google

      Using Python to Interact with the Operating System

      Skills you'll gain: Bash (Scripting Language), Unit Testing, Scripting, Unix Shell, Shell Script, Linux Commands, Test Driven Development (TDD), Unix Commands, Unix, Scripting Languages, Development Environment, Operating Systems, Command-Line Interface, File Management, OS Process Management, Automation, Debugging, Python Programming

      4.7
      Rating, 4.7 out of 5 stars
      ·
      6.5K reviews

      Beginner · Course · 1 - 3 Months

    • Status: New
      New
      I

      IBM

      IBM Product Owner

      Skills you'll gain: User Story, Sprint Retrospectives, Agile Product Development, Backlogs, Stakeholder Communications, Agile Software Development, Agile Methodology, Kanban Principles, Stakeholder Management, Cross-Functional Collaboration, Product Roadmaps, Information Technology, Agile Project Management, Computer Hardware, Prioritization, Virtual Teams, Product Strategy, Product Planning, Product Management, Sprint Planning

      4.8
      Rating, 4.8 out of 5 stars
      ·
      2.6K reviews

      Beginner · Professional Certificate · 3 - 6 Months

    • U

      University of California San Diego

      Big Data

      Skills you'll gain: Apache Spark, Apache Hadoop, Data Integration, Exploratory Data Analysis, Big Data, Graph Theory, Data Pipelines, Database Design, Data Modeling, Regression Analysis, Data Management, Applied Machine Learning, Data Presentation, Scalability, Data Mining, Data Processing, Statistical Analysis, Databases, NoSQL, Database Management Systems

      4.5
      Rating, 4.5 out of 5 stars
      ·
      14K reviews

      Beginner · Specialization · 3 - 6 Months

    • U

      University of California San Diego

      Introduction to Discrete Mathematics for Computer Science

      Skills you'll gain: Graph Theory, Logical Reasoning, Combinatorics, Computational Logic, Deductive Reasoning, Cryptography, Probability, Key Management, Computational Thinking, Encryption, Network Analysis, Public Key Cryptography Standards (PKCS), Algorithms, Theoretical Computer Science, Python Programming, Data Structures, Cybersecurity, Arithmetic, Computer Programming, Mathematical Modeling

      4.5
      Rating, 4.5 out of 5 stars
      ·
      3.6K reviews

      Beginner · Specialization · 3 - 6 Months

    • H

      Hebrew University of Jerusalem

      Build a Modern Computer from First Principles: From Nand to Tetris (Project-Centered Course)

      Skills you'll gain: Computer Architecture, Computer Hardware, Computational Logic, Computer Programming, System Design and Implementation, Technical Design, Software Design, Program Development, Debugging, Verification And Validation, Development Environment

      4.9
      Rating, 4.9 out of 5 stars
      ·
      3.7K reviews

      Mixed · Course · 1 - 3 Months

    • R

      Rice University

      Introduction to Scripting in Python

      Skills you'll gain: Data Visualization Software, Plot (Graphics), Package and Software Management, Python Programming, Programming Principles, Data Processing, Data Mapping, Data Manipulation, Software Installation, Development Environment, Data Structures, File Management, Scripting, Data Storage, Data Import/Export, Program Development, Data Integration, Data Analysis, Computer Programming, Integrated Development Environments

      4.7
      Rating, 4.7 out of 5 stars
      ·
      4.3K reviews

      Beginner · Specialization · 3 - 6 Months

    • Status: Free
      Free
      U

      Universidad Nacional Autónoma de México

      Introducción a Data Science: Programación Estadística con R

      Skills you'll gain: R Programming, Statistical Programming, Ggplot2, Data Manipulation, Simulations, Statistical Software, Data Science, Data Visualization, Graphing, Programming Principles, Data Import/Export, Scripting, Data Structures, Software Installation, Package and Software Management

      4.7
      Rating, 4.7 out of 5 stars
      ·
      8.5K reviews

      Beginner · Course · 1 - 3 Months

    • C

      Coursera Project Network

      Programming in C#: A comprehensive approach to C# Fundamentals

      Skills you'll gain: Microsoft Visual Studio, C# (Programming Language), Integrated Development Environments, Program Development, Programming Principles, Computer Programming, Command-Line Interface, Computational Logic

      4.4
      Rating, 4.4 out of 5 stars
      ·
      216 reviews

      Beginner · Guided Project · Less Than 2 Hours

    • U

      University of Michigan

      Statistics with Python

      Skills you'll gain: Statistical Hypothesis Testing, Sampling (Statistics), Statistical Modeling, Statistical Methods, Statistical Inference, Statistics, Bayesian Statistics, Data Visualization, Matplotlib, Statistical Visualization, Probability & Statistics, Statistical Analysis, Jupyter, Statistical Programming, Regression Analysis, Data Visualization Software, Predictive Modeling, Data Analysis, Exploratory Data Analysis, Descriptive Statistics

      4.6
      Rating, 4.6 out of 5 stars
      ·
      3.3K reviews

      Beginner · Specialization · 1 - 3 Months

    • S

      Stanford University

      Divide and Conquer, Sorting and Searching, and Randomized Algorithms

      Skills you'll gain: Algorithms, Graph Theory, Data Structures, Theoretical Computer Science, Computational Thinking, Analysis, Programming Principles, Probability & Statistics, Probability

      4.8
      Rating, 4.8 out of 5 stars
      ·
      5.3K reviews

      Intermediate · Course · 1 - 4 Weeks

    • I

      IBM

      IBM Program Manager

      Skills you'll gain: User Story, Program Management, Stakeholder Management, Resource Allocation, Stakeholder Engagement, Agile Software Development, Agile Methodology, Kanban Principles, Project Management Life Cycle, Backlogs, Change Management, Project Management Office (PMO), Sprint Retrospectives, Agile Project Management, Organizational Strategy, Agile Product Development, Risk Management, Resource Management, Project Management, Generative AI Agents

      4.8
      Rating, 4.8 out of 5 stars
      ·
      2.5K reviews

      Beginner · Professional Certificate · 3 - 6 Months

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    In summary, here are 10 of our most popular programming courses

    • Linear Algebra for Machine Learning and Data Science: DeepLearning.AI
    • Using Python to Interact with the Operating System: Google
    • IBM Product Owner: IBM
    • Big Data: University of California San Diego
    • Introduction to Discrete Mathematics for Computer Science: University of California San Diego
    • Build a Modern Computer from First Principles: From Nand to Tetris (Project-Centered Course): Hebrew University of Jerusalem
    • Introduction to Scripting in Python: Rice University
    • Introducción a Data Science: Programación Estadística con R: Universidad Nacional Autónoma de México
    • Programming in C#: A comprehensive approach to C# Fundamentals: Coursera Project Network
    • Statistics with Python: University of Michigan

    Frequently Asked Questions about Programming

    Programming courses on Coursera provide learners with essential skills that are fundamental to various computing tasks and technology careers, including:

    • Understanding basic to advanced concepts of programming languages such as Python, Java, and C++
    • Writing clean, efficient, and error-free code
    • Developing algorithms to solve problems and perform data analysis
    • Applying object-oriented programming (OOP) principles to organize software design
    • Using version control systems like Git to manage code changes
    • Developing web and mobile applications
    • Implementing security best practices in software development‎

    Coursera's programming courses are designed to meet learners at their point of need, regardless of their prior experience:

    • Beginners: No prior experience is necessary. Introductory courses start with the basics of programming and build foundational skills.
    • Intermediate Learners: Some understanding of basic programming concepts is helpful. Courses focus on more complex aspects of programming and software development.
    • Advanced Learners: For those with solid programming experience, advanced courses explore specialized areas like software engineering, advanced data structures, and complex algorithmic challenges. ‎

    Participating in programming courses on Coursera can lead to a variety of credentials that can highlight your skills and development:

    • Certificates of Completion: You can earn a certificate for each programming course completed, which can showcase your proficiency in specific programming languages or technologies.
    • Professional Certificates: These certificates are intended to prepare you for specific technology roles by combining coursework that builds a comprehensive skill set.
    • Specializations: These are focused on particular areas of programming and are designed to provide in-depth knowledge and practical skills that can be beneficial in the tech industry. ‎

    Mastering programming opens up a wide array of career opportunities across multiple industries, including:

    • Software Developer: Building and maintaining software systems.
    • Web Developer: Creating and optimizing websites and web applications.
    • Mobile App Developer: Designing applications for iOS and Android devices.
    • Systems Engineer: Ensuring that complex, multi-part systems function properly together.
    • Data Analyst: Analyzing data to help companies make informed decisions.
    • DevOps Engineer: Bridging the gap between development and operations in software production.‎

    Looking to enhance your team's programming skills? Coursera provides tailored enterprise solutions for teams ranging of 5-125 employees. Our offerings include advanced analytics, customized learning paths, and collaborative tools. To explore our programming training options and make a purchase, please visit our Coursera for Teams page.‎

    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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