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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
      N

      National Academy of Sports Medicine

      Anatomy, Physiology, and Kinesiology for Fitness Professions

      Skills you'll gain: Kinesiology, Respiration, Physical Therapy, Neurology, Mechanics, Cardiology, Injury Prevention, Anatomy, Orthopedics, Medical Terminology, Nutrition and Diet, Biology, Torque (Physics)

      4.6
      Rating, 4.6 out of 5 stars
      ·
      31 reviews

      Beginner · Course · 1 - 3 Months

    • Status: Free Trial
      Free Trial
      P

      Packt

      Fundamentals of AI, Machine Learning, and Python Programming

      Skills you'll gain: PyTorch (Machine Learning Library), Predictive Modeling, Deep Learning, Matplotlib, Artificial Intelligence, Pandas (Python Package), Python Programming, NumPy, Data Analysis, Artificial Neural Networks, Tensorflow, Exploratory Data Analysis, Programming Principles, Classification And Regression Tree (CART), Data Processing, Regression Analysis, Data Manipulation, Machine Learning, Computer Programming

      Beginner · Course · 3 - 6 Months

    • Status: Free Trial
      Free Trial
      U

      University of Colorado System

      Hacking and Patching

      Skills you'll gain: Penetration Testing, Application Security, Vulnerability Scanning, Secure Coding, Software Design Patterns, Vulnerability Assessments, Amazon Web Services, SQL, Amazon Elastic Compute Cloud, Operating Systems, Data Validation

      4
      Rating, 4 out of 5 stars
      ·
      275 reviews

      Intermediate · Course · 1 - 4 Weeks

    • Status: New
      New
      Status: Free Trial
      Free Trial
      D

      DeepLearning.AI

      Python for Data Analytics

      Skills you'll gain: Pandas (Python Package), Time Series Analysis and Forecasting, Matplotlib, Data Visualization Software, Statistical Inference, Statistical Analysis, Seaborn, Data Analysis, Exploratory Data Analysis, Descriptive Statistics, NumPy, Data Manipulation, Programming Principles, Python Programming, Regression Analysis, Forecasting

      4.3
      Rating, 4.3 out of 5 stars
      ·
      6 reviews

      Beginner · Course · 1 - 3 Months

    • Status: Free Trial
      Free Trial
      L

      LearnQuest

      Oracle SQL Proficiency

      Skills you'll gain: SQL, Oracle Databases, PL/SQL, Database Management, Relational Databases, Database Design, Databases, Data Modeling

      4.5
      Rating, 4.5 out of 5 stars
      ·
      152 reviews

      Beginner · Course · 1 - 4 Weeks

    • Status: Free Trial
      Free Trial
      U

      University of Michigan

      Fundamentals of Data Analytics in the Public Sector with R

      Skills you'll gain: Data Visualization, Surveys, Tidyverse (R Package), Data Analysis, Demography, Public Administration, Public Policies, R Programming, Statistical Programming, Data Transformation, Data Cleansing, Data Manipulation

      4.8
      Rating, 4.8 out of 5 stars
      ·
      44 reviews

      Intermediate · Course · 1 - 3 Months

    • Status: Free Trial
      Free Trial
      I

      IBM

      IBM COBOL Basics

      Skills you'll gain: COBOL (Programming Language), Editing, Mainframe Computing, Business Logic, Programming Principles, Data Structures, Computational Logic, Data Storage, Debugging, Procedure Development, Program Implementation

      4.6
      Rating, 4.6 out of 5 stars
      ·
      112 reviews

      Beginner · Course · 1 - 4 Weeks

    • P

      Pontificia Universidad Católica de Chile

      Electrónica Digital Bit a Bit: Fundamentos, Verilog y FPGA

      Skills you'll gain: Field-Programmable Gate Array (FPGA), Hardware Design, Computational Logic, Application Specific Integrated Circuits, Computer-Aided Design, Electronic Hardware, Electrical Engineering, Electronic Systems, Electronics, Semiconductors, Electronic Components, Computer Architecture, Programming Principles, Engineering Design Process, Embedded Systems, Schematic Diagrams, Simulation and Simulation Software

      4.7
      Rating, 4.7 out of 5 stars
      ·
      66 reviews

      Mixed · Course · 1 - 3 Months

    • Status: Free Trial
      Free Trial
      C

      Columbia University

      Advanced Topics in Derivative Pricing

      Skills you'll gain: Derivatives, Credit Risk, Financial Market, Capital Markets, Futures Exchange, Equities, Risk Analysis, Risk Management, Market Dynamics, Portfolio Management, Financial Modeling, Mathematical Modeling, Probability Distribution

      4.4
      Rating, 4.4 out of 5 stars
      ·
      30 reviews

      Intermediate · Course · 1 - 3 Months

    • Status: Free Trial
      Free Trial
      W

      Wesleyan University

      Machine Learning for Data Analysis

      Skills you'll gain: Classification And Regression Tree (CART), Decision Tree Learning, Predictive Modeling, Random Forest Algorithm, Applied Machine Learning, Predictive Analytics, Unsupervised Learning, Machine Learning, Supervised Learning, Data Analysis, Data Mining, Feature Engineering, Exploratory Data Analysis, Regression Analysis, Statistical Analysis, Statistical Methods

      4.2
      Rating, 4.2 out of 5 stars
      ·
      324 reviews

      Mixed · Course · 1 - 4 Weeks

    • A

      Arm

      Introduction to Microprocessors

      Skills you'll gain: Microarchitecture, Computer Architecture, Hardware Architecture, Computer Hardware, Computer Systems, System Programming, Embedded Systems, Data Storage, Computer Programming, C (Programming Language)

      4.6
      Rating, 4.6 out of 5 stars
      ·
      47 reviews

      Beginner · Course · 1 - 3 Months

    • Status: Free Trial
      Free Trial
      M

      Microsoft

      AI and Machine Learning Algorithms and Techniques

      Skills you'll gain: Unsupervised Learning, Generative AI, Large Language Modeling, Supervised Learning, Deep Learning, Applied Machine Learning, Artificial Intelligence and Machine Learning (AI/ML), Reinforcement Learning, Statistical Machine Learning, Predictive Modeling, Machine Learning Algorithms, Artificial Neural Networks, Feature Engineering, Decision Tree Learning, Business Logic, Dimensionality Reduction, Data Modeling, Performance Metric

      4.7
      Rating, 4.7 out of 5 stars
      ·
      30 reviews

      Intermediate · Course · 1 - 3 Months

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

    • Anatomy, Physiology, and Kinesiology for Fitness Professions: National Academy of Sports Medicine
    • Fundamentals of AI, Machine Learning, and Python Programming: Packt
    • Hacking and Patching: University of Colorado System
    • Python for Data Analytics: DeepLearning.AI
    • Oracle SQL Proficiency: LearnQuest
    • Fundamentals of Data Analytics in the Public Sector with R: University of Michigan
    • IBM COBOL Basics: IBM
    • Electrónica Digital Bit a Bit: Fundamentos, Verilog y FPGA: Pontificia Universidad Católica de Chile
    • Advanced Topics in Derivative Pricing: Columbia University
    • Machine Learning for Data Analysis: Wesleyan 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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