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    • Programming

    Programming Courses Online

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

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    Explore the Programming Course Catalog

    • U

      University of California San Diego

      Code Free Data Science

      Skills you'll gain: Predictive Modeling, Data Manipulation, Predictive Analytics, Big Data, Data Mining, Data Transformation, Data Analysis, Data Science, Data-Driven Decision-Making, Unsupervised Learning, Statistical Analysis, Analytics, Software Installation

      4.3
      Rating, 4.3 out of 5 stars
      ·
      207 reviews

      Beginner · Course · 1 - 4 Weeks

    • S

      SAS

      Data Literacy: Exploring and Visualizing Data

      Skills you'll gain: Data Analysis, SAS (Software), Statistical Programming

      4.7
      Rating, 4.7 out of 5 stars
      ·
      1K reviews

      Beginner · Specialization · 1 - 3 Months

    • C

      Codio

      Python Object Basics: Functions, Recursion, and Objects

      Skills you'll gain: Object Oriented Programming (OOP), Programming Principles, Computer Programming, Scripting Languages, Python Programming, Scripting

      4.5
      Rating, 4.5 out of 5 stars
      ·
      51 reviews

      Intermediate · Course · 1 - 4 Weeks

    • C

      Coursera Project Network

      Deep Learning with PyTorch : Image Segmentation

      Skills you'll gain: Python Programming

      4.3
      Rating, 4.3 out of 5 stars
      ·
      200 reviews

      Intermediate · Guided Project · Less Than 2 Hours

    • I

      IBM

      Data Engineering Capstone Project

      Skills you'll gain: Apache Spark, Data Warehousing, Extract, Transform, Load, IBM DB2, IBM Cognos Analytics, Big Data, Databases, PostgreSQL, NoSQL, Data Architecture, Data Pipelines, Applied Machine Learning, MongoDB, MySQL, Data Analysis, Dashboard, Predictive Modeling, Software Technical Review

      4.7
      Rating, 4.7 out of 5 stars
      ·
      114 reviews

      Advanced · Course · 1 - 3 Months

    • U

      University of Illinois Urbana-Champaign

      Tools for Exploratory Data Analysis in Business

      Skills you'll gain: Business Analysis, Data Analysis, Data Visualization, Exploratory Data Analysis, Extract, Transform, Load, Data Management, R Programming, Data Analysis Software, Interactive Data Visualization, Plot (Graphics)

      Build toward a degree

      4.8
      Rating, 4.8 out of 5 stars
      ·
      48 reviews

      Beginner · Course · 1 - 4 Weeks

    • Placeholder
      D

      DeepLearning.AI

      Data Storage and Queries

      Skills you'll gain: Data Storage, Query Languages, Data Lakes, File Systems, Database Systems, SQL, Databases, Database Management Systems, Data Architecture, Cloud Storage, Data Warehousing, Amazon Web Services, Amazon S3, Graph Theory, Performance Tuning

      4.8
      Rating, 4.8 out of 5 stars
      ·
      51 reviews

      Intermediate · Course · 1 - 4 Weeks

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      C

      Coursera Project Network

      Mycelium Growth with NetLogo Web

      Skills you'll gain: Simulation and Simulation Software, Virtual Environment, Simulations, Mathematical Modeling, Other Programming Languages

      4.3
      Rating, 4.3 out of 5 stars
      ·
      54 reviews

      Intermediate · Guided Project · Less Than 2 Hours

    • Placeholder
      S

      SAS

      Getting Started with SAS Visual Analytics

      Skills you'll gain: SAS (Software), Statistical Programming

      4.7
      Rating, 4.7 out of 5 stars
      ·
      876 reviews

      Beginner · Course · 1 - 4 Weeks

    • Placeholder
      Status: Free
      Free
      D

      Duke University

      Image and Video Processing: From Mars to Hollywood with a Stop at the Hospital

      Skills you'll gain: Image Analysis, Computer Vision, Digital Communications, Computer Graphics, Visualization (Computer Graphics), Radiology, Data Processing, Applied Mathematics, Spatial Analysis, Advanced Mathematics, Linear Algebra, Matlab, Mathematical Modeling, Algorithms, Histogram, Probability Distribution

      4.7
      Rating, 4.7 out of 5 stars
      ·
      1.1K reviews

      Mixed · Course · 1 - 3 Months

    • Placeholder
      S

      Scrimba

      Intro to AI Engineering

      Skills you'll gain: OpenAI, Generative AI, Data Ethics, Artificial Intelligence, Artificial Intelligence and Machine Learning (AI/ML), ChatGPT, Application Programming Interface (API), Machine Learning

      4.6
      Rating, 4.6 out of 5 stars
      ·
      46 reviews

      Intermediate · Course · 1 - 4 Weeks

    • Placeholder
      D

      Duke University

      Introduction to Retrieval Augmented Generation (RAG)

      Skills you'll gain: Data Import/Export, Pandas (Python Package), Generative AI, OpenAI, Application Programming Interface (API), Data Manipulation, Databases, Artificial Intelligence, Data Storage Technologies

      4.3
      Rating, 4.3 out of 5 stars
      ·
      33 reviews

      Intermediate · Guided Project · Less Than 2 Hours

    Programming learners also search

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    1…949596…219

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

    • Code Free Data Science: University of California San Diego
    • Data Literacy: Exploring and Visualizing Data: SAS
    • Python Object Basics: Functions, Recursion, and Objects: Codio
    • Deep Learning with PyTorch : Image Segmentation : Coursera Project Network
    • Data Engineering Capstone Project: IBM
    • Tools for Exploratory Data Analysis in Business: University of Illinois Urbana-Champaign
    • Data Storage and Queries: DeepLearning.AI
    • Mycelium Growth with NetLogo Web: Coursera Project Network
    • Getting Started with SAS Visual Analytics : SAS
    • Image and Video Processing: From Mars to Hollywood with a Stop at the Hospital: Duke University

    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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