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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

    • C

      Coursera Project Network

      Exploratory Data Analysis With Python and Pandas

      Skills you'll gain: Exploratory Data Analysis, Correlation Analysis, Matplotlib, Seaborn, Data Cleansing, Data Visualization, Pandas (Python Package), Data Analysis, Data Manipulation, NumPy, Statistical Analysis

      4.5
      Rating, 4.5 out of 5 stars
      ·
      437 reviews

      Beginner · Guided Project · Less Than 2 Hours

    • Status: Free Trial
      Free Trial
      I

      Imperial College London

      Getting started with TensorFlow 2

      Skills you'll gain: Tensorflow, Keras (Neural Network Library), Deep Learning, Image Analysis, Computer Programming, Supervised Learning, Computer Vision, Machine Learning Methods, Artificial Neural Networks, Jupyter

      4.9
      Rating, 4.9 out of 5 stars
      ·
      573 reviews

      Intermediate · Course · 1 - 3 Months

    • E

      Edge Impulse

      Computer Vision with Embedded Machine Learning

      Skills you'll gain: Computer Vision, Image Analysis, Artificial Neural Networks, Embedded Systems, Deep Learning, Data Ethics, Machine Learning, Artificial Intelligence, Python Programming, Data Collection, Performance Testing

      4.8
      Rating, 4.8 out of 5 stars
      ·
      153 reviews

      Intermediate · Course · 1 - 4 Weeks

    • Status: Free Trial
      Free Trial
      U

      University of Colorado Boulder

      Battery State-of-Charge (SOC) Estimation

      Skills you'll gain: Estimation, Matlab, Simulations, Numerical Analysis, Anomaly Detection, Probability, Performance Tuning, Data Validation, Linear Algebra

      4.8
      Rating, 4.8 out of 5 stars
      ·
      253 reviews

      Intermediate · Course · 1 - 3 Months

    • Status: Free Trial
      Free Trial
      U

      University of Illinois Urbana-Champaign

      IoT Devices

      Skills you'll gain: Internet Of Things, Embedded Software, Wireless Networks, Network Protocols, Emerging Technologies, Data Science, Embedded Systems, Network Infrastructure, General Networking, Network Security, Amazon Web Services, Cloud Platforms

      4.7
      Rating, 4.7 out of 5 stars
      ·
      507 reviews

      Intermediate · Course · 1 - 4 Weeks

    • Status: Free Trial
      Free Trial
      J

      Johns Hopkins University

      Getting Started with Data Visualization in R

      Skills you'll gain: Rmarkdown, Statistical Visualization, Ggplot2, Data Import/Export, Data Visualization Software, R Programming, Tidyverse (R Package), Data Manipulation, Scatter Plots, Data Wrangling, Histogram, Software Installation

      4.8
      Rating, 4.8 out of 5 stars
      ·
      289 reviews

      Beginner · Course · 1 - 4 Weeks

    • Status: Free Trial
      Free Trial
      M

      Meta

      Desarrollador back-end de Meta

      Skills you'll gain: Full-Stack Web Development, Restful API, Django (Web Framework), Relational Databases, Version Control, SQL, Responsive Web Design, Unix Commands, Git (Version Control System), Front-End Web Development, GitHub, Database Design, Database Management Systems, Algorithms, MySQL, Bootstrap (Front-End Framework), Test Driven Development (TDD), Unit Testing, Pseudocode, Web Development

      4.8
      Rating, 4.8 out of 5 stars
      ·
      479 reviews

      Beginner · Professional Certificate · 3 - 6 Months

    • Status: Free Trial
      Free Trial
      U

      University of California San Diego

      Genome Sequencing (Bioinformatics II)

      Skills you'll gain: Bioinformatics, Graph Theory, Molecular Biology, Microbiology, Pharmacology, Infectious Diseases, Computational Thinking, Applied Mathematics, Algorithms

      4.6
      Rating, 4.6 out of 5 stars
      ·
      318 reviews

      Intermediate · Course · 1 - 3 Months

    • Status: Free Trial
      Free Trial
      U

      University of Michigan

      Foundations of Sports Analytics: Data, Representation, and Models in Sports

      Skills you'll gain: Statistical Methods, Regression Analysis, Data Cleansing, Statistical Hypothesis Testing, Correlation Analysis, Matplotlib, Data Manipulation, Data Visualization, Statistical Analysis, Scatter Plots, Probability & Statistics, R Programming, Data Analysis, Descriptive Statistics, Pandas (Python Package), Python Programming

      4.4
      Rating, 4.4 out of 5 stars
      ·
      188 reviews

      Intermediate · Course · 1 - 3 Months

    • U

      University of Michigan

      Leading for Equity, Diversity and Inclusion in Higher Education

      Skills you'll gain: Higher Education, Diversity Equity and Inclusion Initiatives, Leadership, Strategic Planning, Initiative and Leadership, Cultural Diversity, Social Justice, Cultural Responsiveness, Accountability, Advocacy, Collaboration, Creative Thinking, Ethical Standards And Conduct

      4.6
      Rating, 4.6 out of 5 stars
      ·
      296 reviews

      Intermediate · Course · 1 - 3 Months

    • Status: Free Trial
      Free Trial
      M

      Meta

      Desarrollador de Meta de Android

      Skills you'll gain: React Native, User Research, UI/UX Research, Persona (User Experience), Restful API, Design Research, Android Studio, Version Control, Kotlin, User Experience Design, Android Jetpack, Unix Commands, Android Development, Interaction Design, Git (Version Control System), GitHub, Algorithms, Jest (JavaScript Testing Framework), Usability, Mobile Development

      4.6
      Rating, 4.6 out of 5 stars
      ·
      327 reviews

      Beginner · Professional Certificate · 3 - 6 Months

    • Status: Free Trial
      Free Trial
      U

      University of Illinois Urbana-Champaign

      Introduction to Applied Business Analytics

      Skills you'll gain: Business Analytics, Data Processing, Data Manipulation, Analytics, Data Transformation, Business Intelligence, Business Process, Pandas (Python Package), Data Analysis, Data Literacy, Data Cleansing, Data-Driven Decision-Making, Data Presentation, Technical Communication

      Build toward a degree

      4.6
      Rating, 4.6 out of 5 stars
      ·
      286 reviews

      Beginner · Course · 1 - 4 Weeks

    Programming learners also search

    C Programming
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    1…666768…285

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

    • Exploratory Data Analysis With Python and Pandas: Coursera Project Network
    • Getting started with TensorFlow 2: Imperial College London
    • Computer Vision with Embedded Machine Learning: Edge Impulse
    • Battery State-of-Charge (SOC) Estimation: University of Colorado Boulder
    • IoT Devices: University of Illinois Urbana-Champaign
    • Getting Started with Data Visualization in R: Johns Hopkins University
    • Desarrollador back-end de Meta: Meta
    • Genome Sequencing (Bioinformatics II): University of California San Diego
    • Foundations of Sports Analytics: Data, Representation, and Models in Sports: University of Michigan
    • Leading for Equity, Diversity and Inclusion in Higher Education: 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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