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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: New
      New
      M

      Maven Analytics

      ChatGPT & Generative AI for Data Analytics

      Skills you'll gain: Prompt Engineering, Generative AI, ChatGPT, Data Analysis Expressions (DAX), Power BI, Deep Learning, Excel Formulas, Analytics, Google Sheets, Machine Learning Methods, Large Language Modeling, Microsoft Excel, Artificial Intelligence, Python Programming, SQL, Debugging

      4.8
      Rating, 4.8 out of 5 stars
      ·
      12 reviews

      Beginner · Course · 1 - 3 Months

    • C

      Coursera Project Network

      Creating Database Tables with SQL

      Skills you'll gain: Relational Databases, Database Design, Database Development, SQL, Database Management, Databases, Data Integrity

      4.6
      Rating, 4.6 out of 5 stars
      ·
      323 reviews

      Intermediate · Guided Project · Less Than 2 Hours

    • C

      Coursera Project Network

      Retrieve Data using Single-Table SQL Queries

      Skills you'll gain: SQL, Query Languages, Data Access, Database Software, Relational Databases, Data Manipulation

      4.6
      Rating, 4.6 out of 5 stars
      ·
      333 reviews

      Beginner · Guided Project · Less Than 2 Hours

    • Status: Free Trial
      Free Trial
      M

      Meta

      Capstone (React App)

      Skills you'll gain: React Native, Mobile Development, GitHub, User Interface and User Experience (UI/UX) Design, Version Control, User Experience Design, User Interface (UI) Design, Wireframing, UI Components, User Flows, Data Store, Development Environment

      4.8
      Rating, 4.8 out of 5 stars
      ·
      42 reviews

      Intermediate · Course · 1 - 4 Weeks

    • 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
      P

      Packt

      Selenium Python Automation Testing and Frameworks

      Skills you'll gain: Git (Version Control System), Selenium (Software), Test Automation, GitHub, Jenkins, Test Case, Object Oriented Programming (OOP), CI/CD, Test Data, Software Testing, Unit Testing, Application Frameworks, Integration Testing, Web Development Tools, Programming Principles, Cascading Style Sheets (CSS), Javascript and jQuery, Python Programming, Browser Compatibility, Software Installation

      4.6
      Rating, 4.6 out of 5 stars
      ·
      14 reviews

      Beginner · Specialization · 3 - 6 Months

    • Status: Free Trial
      Free Trial
      I

      IBM

      AI Workflow: AI in Production

      Skills you'll gain: Application Deployment, MLOps (Machine Learning Operations), Unit Testing, Docker (Software), Containerization, Kubernetes, IBM Cloud, User Feedback, Performance Analysis, Project Performance, Business Metrics, Natural Language Processing, Project Implementation, Time Series Analysis and Forecasting, Continuous Monitoring

      4.5
      Rating, 4.5 out of 5 stars
      ·
      50 reviews

      Advanced · Course · 1 - 4 Weeks

    • U

      University of Leeds

      An Introduction to Logic for Computer Science

      Skills you'll gain: Logical Reasoning, Deductive Reasoning, Computational Logic, Computational Thinking, Algorithms, Theoretical Computer Science, Artificial Intelligence

      4.7
      Rating, 4.7 out of 5 stars
      ·
      27 reviews

      Beginner · Course · 1 - 4 Weeks

    • Status: Free Trial
      Free Trial
      T

      The Hong Kong University of Science and Technology

      Software Engineering: Software Design and Project Management

      Skills you'll gain: Software Design Patterns, Software Architecture, Software Development Life Cycle, Software Quality Assurance, Software Design, Process Driven Development, Software Engineering, Quality Assurance, Systems Analysis, Object Oriented Design, Systems Design, Unified Modeling Language

      4.6
      Rating, 4.6 out of 5 stars
      ·
      157 reviews

      Intermediate · Course · 1 - 3 Months

    • Status: Free Trial
      Free Trial
      U

      University of California, Davis

      Identifying Security Vulnerabilities

      Skills you'll gain: Threat Modeling, Secure Coding, Cryptography, Open Web Application Security Project (OWASP), Encryption, Application Security, Penetration Testing, Vulnerability Assessments, Data Security, Security Controls, Authentications, Vulnerability Management, Web Applications, Javascript

      4.7
      Rating, 4.7 out of 5 stars
      ·
      174 reviews

      Intermediate · Course · 1 - 4 Weeks

    • Status: Free Trial
      Free Trial
      O

      O.P. Jindal Global University

      Machine Learning for Marketing

      Skills you'll gain: Marketing Analytics, Anomaly Detection, Digital Marketing, Web Analytics, Digital Advertising, Dimensionality Reduction, Unsupervised Learning, Customer Analysis, Search Engine Marketing, Supervised Learning, Online Advertising, Customer Retention, Text Mining, Predictive Analytics, Google Analytics, Search Engine Optimization, Applied Machine Learning, Data Ethics, Data Mining, Customer Insights

      4
      Rating, 4 out of 5 stars
      ·
      15 reviews

      Beginner · Specialization · 3 - 6 Months

    • Status: Free Trial
      Free Trial
      L

      LearnQuest

      Introduction to Data Science and scikit-learn in Python

      Skills you'll gain: Feature Engineering, Exploratory Data Analysis, Pandas (Python Package), Scikit Learn (Machine Learning Library), Data Manipulation, NumPy, Data Analysis, Data Processing, Python Programming, Regression Analysis, Predictive Modeling, Machine Learning, Classification And Regression Tree (CART), Statistical Methods, Computer Programming, Data Structures

      3.7
      Rating, 3.7 out of 5 stars
      ·
      49 reviews

      Beginner · Course · 1 - 4 Weeks

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

    • ChatGPT & Generative AI for Data Analytics: Maven Analytics
    • Creating Database Tables with SQL: Coursera Project Network
    • Retrieve Data using Single-Table SQL Queries: Coursera Project Network
    • Capstone (React App): Meta
    • Essential Causal Inference Techniques for Data Science: Coursera Project Network
    • Selenium Python Automation Testing and Frameworks: Packt
    • AI Workflow: AI in Production: IBM
    • An Introduction to Logic for Computer Science: University of Leeds
    • Software Engineering: Software Design and Project Management: The Hong Kong University of Science and Technology
    • Identifying Security Vulnerabilities: University of California, Davis

    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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