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    Results for "software testing"

    • Google

      Create High-Fidelity Designs and Prototypes in Figma

      Skills you'll gain: Figma (Design Software), Usability Testing, Design Reviews, Mockups, User Experience Design, Prototyping, User Centered Design, User Interface (UI) Design, Design Elements And Principles, Interaction Design, Typography, User Research, Color Theory

      4.8
      Rating, 4.8 out of 5 stars
      ·
      4.6K reviews

      Beginner · Course · 1 - 3 Months

    • Google

      Sound the Alarm: Detection and Response

      Skills you'll gain: Incident Response, Computer Security Incident Management, Intrusion Detection and Prevention, Event Monitoring, Threat Detection, Incident Management, Security Information and Event Management (SIEM), Cybersecurity, Cyber Threat Hunting, Continuous Monitoring, Network Security, Network Monitoring, Document Management, Network Analysis, Splunk, Technical Documentation, TCP/IP, Network Protocols

      4.8
      Rating, 4.8 out of 5 stars
      ·
      3K reviews

      Beginner · Course · 1 - 4 Weeks

    • University of Virginia

      Agile Meets Design Thinking

      Skills you'll gain: Agile Product Development, User Story, Design Thinking, Product Improvement, Agile Methodology, Product Design, Product Development, User Centered Design, User Research, Persona Development, Innovation, Discussion Facilitation, Testability

      4.7
      Rating, 4.7 out of 5 stars
      ·
      3.5K reviews

      Beginner · Course · 1 - 4 Weeks

    • Google Cloud

      Vertex AI Search for Retail

      Skills you'll gain: Dataflow, Google Cloud Platform, Data Pipelines, Serverless Computing, Real Time Data, Dashboard, Cloud Infrastructure, Identity and Access Management, Big Data, Data Visualization Software, Data Integration, Cloud Security, Performance Tuning, Applied Machine Learning, Data Security, MLOps (Machine Learning Operations), CI/CD, Data Processing, Data Warehousing, Artificial Intelligence and Machine Learning (AI/ML)

      4.6
      Rating, 4.6 out of 5 stars
      ·
      16K reviews

      Beginner · Specialization · 3 - 6 Months

    • Meta

      Version Control

      Skills you'll gain: Version Control, Unix Commands, Git (Version Control System), GitHub, Linux Commands, Command-Line Interface, Software Versioning, Collaborative Software, File Management, Software Development Tools, Software Development

      4.6
      Rating, 4.6 out of 5 stars
      ·
      3.6K reviews

      Beginner · Course · 1 - 4 Weeks

    • Rice University

      Introduction to Scripting in Python

      Skills you'll gain: Data Visualization Software, Plot (Graphics), Package and Software Management, Python Programming, Programming Principles, Data Processing, Data Mapping, Data Manipulation, Software Installation, Development Environment, Data Structures, File Management, Scripting, Data Storage, Data Import/Export, Program Development, Data Integration, Data Analysis, Computer Programming, Integrated Development Environments

      4.7
      Rating, 4.7 out of 5 stars
      ·
      4.3K reviews

      Beginner · Specialization · 3 - 6 Months

    • Johns Hopkins University

      Biostatistics in Public Health

      Skills you'll gain: Biostatistics, Statistical Hypothesis Testing, Regression Analysis, Sampling (Statistics), Statistical Methods, Statistical Visualization, Statistical Analysis, Epidemiology, Medical Science and Research, Quantitative Research, Descriptive Statistics, Statistical Inference, Data Literacy, Probability Distribution, Scientific Methods, Data Analysis, Public Health, Probability & Statistics, Advanced Analytics, Statistical Modeling

      4.8
      Rating, 4.8 out of 5 stars
      ·
      2.3K reviews

      Beginner · Specialization · 3 - 6 Months

    • University of Washington

      Machine Learning

      Skills you'll gain: Regression Analysis, Applied Machine Learning, Feature Engineering, Machine Learning, Image Analysis, Unsupervised Learning, Artificial Intelligence and Machine Learning (AI/ML), Predictive Modeling, Classification And Regression Tree (CART), Supervised Learning, Bayesian Statistics, Statistical Modeling, Artificial Intelligence, Deep Learning, Data Mining, Computer Vision, Statistical Machine Learning, Predictive Analytics, Text Mining, Machine Learning Algorithms

      4.6
      Rating, 4.6 out of 5 stars
      ·
      16K reviews

      Intermediate · Specialization · 3 - 6 Months

    • University of Toronto

      GIS, Mapping, and Spatial Analysis

      Skills you'll gain: ArcGIS, Spatial Data Analysis, Spatial Analysis, Geographic Information Systems, Geospatial Mapping, GIS Software, Data Mapping, Data Visualization, Metadata Management, Query Languages, Global Positioning Systems, Quantitative Research, Data Compilation, Data Modeling, Typography, Data Manipulation, Data Processing, Data Storytelling, Design Elements And Principles, Image Analysis

      4.8
      Rating, 4.8 out of 5 stars
      ·
      3K reviews

      Beginner · Specialization · 3 - 6 Months

    • IBM

      IBM Machine Learning

      Skills you'll gain: Exploratory Data Analysis, Unsupervised Learning, Supervised Learning, Feature Engineering, Generative AI, Regression Analysis, Dimensionality Reduction, Reinforcement Learning, Data Cleansing, Data Access, Deep Learning, Data Analysis, Applied Machine Learning, Predictive Modeling, Statistical Analysis, Statistical Inference, Statistical Hypothesis Testing, Machine Learning Algorithms, Classification And Regression Tree (CART), Scikit Learn (Machine Learning Library)

      Build toward a degree

      4.6
      Rating, 4.6 out of 5 stars
      ·
      3.1K reviews

      Intermediate · Professional Certificate · 3 - 6 Months

    • DeepLearning.AI

      Probability & Statistics for Machine Learning & Data Science

      Skills you'll gain: Descriptive Statistics, Bayesian Statistics, Statistical Hypothesis Testing, Probability & Statistics, Sampling (Statistics), Probability Distribution, Probability, Statistical Inference, A/B Testing, Statistical Analysis, Statistical Machine Learning, Data Science, Exploratory Data Analysis, Statistical Visualization

      4.6
      Rating, 4.6 out of 5 stars
      ·
      557 reviews

      Intermediate · Course · 1 - 4 Weeks

    • Duke University

      Inferential Statistics

      Skills you'll gain: Statistical Hypothesis Testing, Statistical Inference, Statistical Reporting, Statistical Methods, R Programming, Statistical Software, Statistical Analysis, Probability & Statistics, Data Literacy, Sampling (Statistics), Probability Distribution, Software Installation

      4.8
      Rating, 4.8 out of 5 stars
      ·
      2.7K reviews

      Beginner · Course · 1 - 3 Months

    Searches related to software testing

    software testing and automation
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    foundations of software testing and validation
    introduction to software testing
    istqb foundation level software testing certification prep
    test management in software testing
    软件测试 (software testing)
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    1…262728…594

    In summary, here are 10 of our most popular software testing courses

    • Create High-Fidelity Designs and Prototypes in Figma: Google
    • Sound the Alarm: Detection and Response: Google
    • Agile Meets Design Thinking: University of Virginia
    • Vertex AI Search for Retail: Google Cloud
    • Version Control: Meta
    • Introduction to Scripting in Python: Rice University
    • Biostatistics in Public Health: Johns Hopkins University
    • Machine Learning: University of Washington
    • GIS, Mapping, and Spatial Analysis: University of Toronto
    • IBM Machine Learning: IBM

    Skills you can learn in Software Development

    Programming Language (34)
    Google (25)
    Computer Program (21)
    Software Testing (21)
    Web (19)
    Google Cloud Platform (18)
    Application Programming Interfaces (17)
    Data Structure (16)
    Problem Solving (14)
    Object-oriented Programming (13)
    Kubernetes (10)
    List & Label (10)

    Frequently Asked Questions about Software Testing

    Software Testing courses on Coursera equip learners with the skills necessary to ensure software quality, reliability, and performance, including:

    • Fundamental concepts of software testing, including test planning and test case design.
    • Techniques for various types of testing such as unit testing, integration testing, system testing, and acceptance testing.
    • Use of automated testing tools like Selenium, JUnit, and TestNG to streamline testing processes.
    • Best practices for defect tracking and management to improve software quality.
    • Understanding of continuous integration and continuous deployment (CI/CD) environments in relation to testing.
    • Knowledge of performance testing to assess software behavior under various conditions.
    • Security testing principles to identify vulnerabilities in software applications. ‎

    Coursera’s Software Testing courses are structured to accommodate learners at various levels of technical expertise:

    • Beginners: No prior experience is required for introductory courses, which cover the basics of software testing concepts and practices.
    • Intermediate Learners: Those with some programming or testing background can deepen their understanding of more sophisticated testing techniques and tools.
    • Advanced Professionals: Experienced software testers and developers can enhance their skills in specialized areas such as automation, performance, and security testing.‎

    Participating in Software Testing courses on Coursera can lead to a variety of credentials that can showcase your development and expertise:

    • Course Certificates: You can earn a certificate for each software testing course you complete, which can demonstrate your proficiency in specific testing methods.
    • Professional Certificates: These certificates are intended to help prepare you for advanced roles in software quality assurance by providing comprehensive skill development across multiple software testing disciplines.
    • Specializations: Engage with a particular aspect of software testing through a series of courses that culminate in a capstone project, providing practical experience and deeper knowledge.‎

    Skills gained from Software Testing courses can lead to a variety of career opportunities within the IT industry, including:

    • Quality Assurance Analyst: Ensuring software meets established standards and end-user requirements before release.
    • Automation Test Engineer: Designing and writing test automation scripts using testing software that checks for defects automatically.
    • Software Test Manager: Overseeing a team of testers to ensure software functionality and security across multiple projects.
    • Performance Test Engineer: Specializing in testing the performance of software applications under various stress conditions to ensure scalability and reliability.
    • Security Test Specialist: Focusing on testing software for vulnerabilities and ensuring compliance with security standards.‎

    Yes, Coursera offers a variety of free courses across many topics, including software testing. While you can access most course materials for free by auditing the courses, this does not include graded assignments or a completion certificate. For those looking to obtain a certificate to showcase their learning or enhance their professional profile, Coursera provides the option to purchase the course. Additionally, Coursera offers free trials or financial aid to learners who qualify, making certifications more accessible to everyone.‎

    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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