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    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

    • Status: Free Trial
      Free Trial
      S

      SAS

      Predictive Modeling with Logistic Regression using SAS

      Skills you'll gain: SAS (Software), Predictive Modeling, Statistical Modeling, Big Data, Regression Analysis, Data Analysis Software, Advanced Analytics, Statistical Machine Learning, Feature Engineering, Performance Analysis, Performance Measurement, Statistical Analysis, Data Manipulation, Data Cleansing

      4.6
      Rating, 4.6 out of 5 stars
      ·
      63 reviews

      Intermediate · Course · 1 - 3 Months

    • Status: Free Trial
      Free Trial
      S

      SAS

      Creating Advanced Reports with SAS Visual Analytics

      Skills you'll gain: Ad Hoc Reporting, SAS (Software), Dashboard, Business Reporting, Interactive Data Visualization, Business Intelligence Software, Management Reporting, Data Visualization Software, Data Analysis, Key Performance Indicators (KPIs), Data Manipulation

      4.7
      Rating, 4.7 out of 5 stars
      ·
      214 reviews

      Intermediate · Course · 1 - 4 Weeks

    • Status: Free Trial
      Free Trial
      J

      Johns Hopkins University

      Introduction to Javascript and Ajax: Building Web Apps

      Skills you'll gain: Javascript, Ajax, JSON, Web Applications, Web Development, Scripting, Object Oriented Programming (OOP), Event-Driven Programming, Web Services, Prototyping, Network Protocols

      4.7
      Rating, 4.7 out of 5 stars
      ·
      37 reviews

      Mixed · Course · 1 - 4 Weeks

    • Status: Free Trial
      Free Trial
      B

      Board Infinity

      Backend Development for .Net Full Stack

      Skills you'll gain: Model View Controller, ASP.NET, Restful API, .NET Framework, JSON, Web Services, Web Applications, Application Programming Interface (API), Back-End Web Development, Software Architecture, Application Security, Object-Relational Mapping, Extensible Markup Language (XML), Authentications, Authorization (Computing)

      3.8
      Rating, 3.8 out of 5 stars
      ·
      38 reviews

      Intermediate · Course · 1 - 4 Weeks

    • Status: Free Trial
      Free Trial
      U

      Universidad Nacional Autónoma de México

      Designing data-intensive applications

      Skills you'll gain: Data Mining, Database Design, Scalability, Database Systems, Relational Databases, Unstructured Data, Transaction Processing, Databases, Systems Design, Big Data, Data Architecture, Data Storage Technologies, NoSQL, Data Processing, Maintainability, SQL, Apache Hadoop

      4.2
      Rating, 4.2 out of 5 stars
      ·
      38 reviews

      Intermediate · Course · 1 - 4 Weeks

    • Status: Free Trial
      Free Trial
      J

      Johns Hopkins University

      Introduction to the Tidyverse

      Skills you'll gain: Tidyverse (R Package), Data Wrangling, Data Cleansing, Data Transformation, Data Manipulation, R Programming, Data Science, Exploratory Data Analysis, Data Analysis, Ggplot2, File Management, Data Import/Export

      4.4
      Rating, 4.4 out of 5 stars
      ·
      50 reviews

      Beginner · Course · 1 - 3 Months

    • C

      Coursera Project Network

      Essential Causal Inference Techniques for Data Science

      Skills you'll gain: Regression Analysis, Data Science, Statistical Machine Learning, Data-Driven Decision-Making, R Programming, Statistical Inference, Applied Machine Learning, Classification And Regression Tree (CART), Machine Learning, Statistical Methods, Advanced Analytics, Data Analysis, Predictive Modeling

      4.5
      Rating, 4.5 out of 5 stars
      ·
      38 reviews

      Beginner · Guided Project · Less Than 2 Hours

    • Status: Free Trial
      Free Trial
      U

      Universidad de los Andes

      Diseño de Videojuegos: Una introducción

      Skills you'll gain: Game Design, Video Game Development, Functional Specification, Unity Engine, Animation and Game Design, Interactive Design, Software Design Documents, Prototyping, Program Development, Design Elements And Principles, C# (Programming Language), Creativity

      4.6
      Rating, 4.6 out of 5 stars
      ·
      149 reviews

      Beginner · Course · 1 - 4 Weeks

    • U

      Universidad Austral

      Modelización Cuantitativa para Finanzas Corporativas

      Skills you'll gain: Financial Modeling, Time Series Analysis and Forecasting, Regression Analysis, Predictive Modeling, Forecasting, Finance, Trend Analysis, R Programming, Financial Analysis, Statistical Analysis, Probability & Statistics, Estimation, Risk Analysis, Microsoft Excel

      4.5
      Rating, 4.5 out of 5 stars
      ·
      26 reviews

      Beginner · Course · 1 - 4 Weeks

    • Status: Free Trial
      Free Trial
      U

      University of Colorado Boulder

      Data Driven Decision Making

      Skills you'll gain: Statistical Hypothesis Testing, Correlation Analysis, Data Visualization, Statistical Software, Statistical Analysis, Statistical Methods, Data Analysis, Analytical Skills, Data-Driven Decision-Making, Engineering Management, R Programming, Probability & Statistics, Variance Analysis, Regression Analysis

      Build toward a degree

      4.9
      Rating, 4.9 out of 5 stars
      ·
      27 reviews

      Intermediate · Course · 1 - 3 Months

    • K

      KodeKloud

      Linux for beginners with Hands-on Labs

      Skills you'll gain: Package and Software Management, Command-Line Interface, Linux Commands, Linux, Linux Administration, Unix Commands, Data Storage, Network Troubleshooting, Operating Systems, System Support, TCP/IP, Software Installation, File Management, Service Management, General Networking, Network Security, User Accounts

      4.5
      Rating, 4.5 out of 5 stars
      ·
      11 reviews

      Beginner · Course · 1 - 3 Months

    • Status: Free Trial
      Free Trial
      S

      SAS

      Using Data for Geographic Mapping and Forecasting in SAS Visual Analytics

      Skills you'll gain: SAS (Software), Forecasting, Spatial Data Analysis, Data Visualization Software, Time Series Analysis and Forecasting, Data-Driven Decision-Making, Predictive Analytics, Geospatial Mapping, Data Analysis, Geographic Information Systems, Data Manipulation, Data Transformation

      4.8
      Rating, 4.8 out of 5 stars
      ·
      223 reviews

      Intermediate · Course · 1 - 4 Weeks

    Programming learners also search

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    1…126127128…285

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

    • Predictive Modeling with Logistic Regression using SAS : SAS
    • Creating Advanced Reports with SAS Visual Analytics: SAS
    • Introduction to Javascript and Ajax: Building Web Apps: Johns Hopkins University
    • Backend Development for .Net Full Stack : Board Infinity
    • Designing data-intensive applications: Universidad Nacional Autónoma de México
    • Introduction to the Tidyverse: Johns Hopkins University
    • Essential Causal Inference Techniques for Data Science: Coursera Project Network
    • Diseño de Videojuegos: Una introducción: Universidad de los Andes
    • Modelización Cuantitativa para Finanzas Corporativas: Universidad Austral
    • Data Driven Decision Making: University of Colorado Boulder

    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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