Software Testing for Cloud Computing, Data Analysis, and Cybersecurity Applications

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Reed Courses Certificate of Completion

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• Software Testing 15:00

  • 1: Module 01_ Basic Introduction to Software Testing 02:00
  • 2: Module 02_ Software Testing Principles 02:00
  • 3: Module 03_ Software Development Life Cycle 02:00
  • 4: Module 04_ Types of Software Testing Plans 02:00
  • 5: Module 05_ Software Testing Plans Component and Attributes 02:00
  • 6: Module 06_ Software Testing Methodology and Guidelines 02:00
  • 7: Final Quiz 03:00

• Software Engineering 41:11

  • 8: Module 1: Introduction to Software Engineering 07:00
  • 9: Module 2: Software Design Principles and Testing 09:54
  • 10: Module 3: Software Maintenance and Evolution 04:00
  • 11: Module 4: Software Project Management 04:32
  • 12: Module 5: Software Configuration Management 05:00
  • 13: Module 6: Software Project Metrics and Measurement 10:45

• Data Analysis 1:09:50

  • 14: Module 1: Introduction to Data Analysis 05:00
  • 15: Module 2: Statistical Fundamentals 08:51
  • 16: Module 3: Data Visualization 07:00
  • 17: Module 4: Exploratory Data Analysis (EDA) 09:23
  • 18: Module 5: Regression Analysis 05:00
  • 19: Module 6: Time Series Analysis 09:03
  • 20: Module 7: Machine Learning Basics 07:00
  • 21: Module 8: Data Mining Techniques 12:33
  • 22: Module 9: Big Data Analytics 06:00

• Cyber Security 1:14:02

  • 23: Module 1: Introduction to Cyber Security 06:00
  • 24: Module 2: Foundations of Information Security 13:05
  • 25: Module 3: Networking Fundamentals and Threats 06:00
  • 26: Module 4: Operating System Security 13:28
  • 27: Module 5: Cryptography and Data Protection 06:00
  • 28: Module 6: Network Security and Secure Communication 12:37
  • 29: Module 7: Access Control and Identity Management 06:00
  • 30: Module 8: Security Assessments and Risk Management 10:52

• Cloud Data 56:00

  • 31: Module 1: Introduction to Cloud Data 06:00
  • 32: Module 2: Cloud Data Storage Fundamentals 06:00
  • 33: Module 3: Data Ingestion and Integration in the Cloud 06:00
  • 34: Module 4: Cloud Databases and Querying 05:00
  • 35: Module 5: Cloud Data Security and Compliance 05:00
  • 36: Module 6: Big Data Analytics on Cloud Platforms 05:00
  • 37: Module 7: Machine Learning and AI with Cloud Data 06:00
  • 38: Module 8: Data Visualization and Reporting in the Cloud 06:00
  • 39: Module 9: Cloud Cost Management and Optimization 06:00
  • 40: Module 10: Future Trends and Challenges in Cloud Data 05:00

• Web Design 45:00

  • 41: Module 1 Fundamentals of Web Design 06:00
  • 42: Module 2 Principles of User Experience (UX) Design 08:00
  • 43: Module 3 Layout Strategies and Composition 08:00
  • 44: Module 4 Color Theory and Its Psychological Impact 08:00
  • 45: Module 5 The Role of Typography in Web Design 08:00
  • 46: Module 6 Enhancing Web Design with Visual Elements 07:00

• Assignment 01:00

  • 47: Assignment Software Testing 101- 408744 01:00

• Claim Your Certificate 01:00

  • 48: Claim Your Certificate For Software Testing 101- 408744 01:00

• Review Request 01:00

  • 49: Reed Review For Software Testing 101- 408744 01:00

This course delivers a focused yet wide-ranging exploration of Software Testing as it applies to emerging and essential tech fields—Cloud Data, Data Analysis, Cybersecurity, Software Engineering, and Data Science. Starting from the fundamentals of Software Testing, you’ll learn how to test Cloud Data platforms, validate analytical models in Data Analysis, ensure security protocols through Cybersecurity testing, and support robust product delivery pipelines within Software Engineering environments.

You’ll explore topics such as:

• Functional and non-functional Software Testing techniques

• Unit, integration, system, and performance testing for Cloud Data services

• Data pipeline validation and test cases in Data Analysis

• Penetration testing and security validation in Cybersecurity

• Agile Software Engineering and test-driven development

• Automating tests for scalable Data Science platforms

Each module integrates practical scenarios, teaching how Software Testing applies not just to code, but to the integrity of Cloud Data systems, analytical insights in Data Analysis, and threats mitigated in Cybersecurity workflows. Learners will also explore how Software Testing ensures reliability in Software Engineering projects and maintains reproducibility in Data Science solutions.

This course is suitable for complete beginners or entry-level professionals who want to transition into Software Testing for Cloud Data, Cybersecurity, Software Engineering, Data Analysis, or Data Science fields.

By the end of the course, you’ll not only understand the “how” but also the “why” behind quality assurance in Cloud Data, Data Science, and Cybersecurity, making you a valuable asset across tech sectors.

This course is ideal for learners and professionals looking to build or expand a career in:

• Software Testing or Quality Assurance (QA)

• Cloud Data Engineering or Cloud Computing

• Data Analysis and Business Intelligence

• Cybersecurity Operations or Compliance

• Software Engineering and Fullstack Development

• Data Science, Machine Learning, or AI

Whether you're transitioning from traditional IT roles, upgrading your current skill set, or starting from scratch, this course provides a practical pathway to apply Software Testing techniques in Cloud Data, Data Analysis, Cybersecurity, Software Engineering, and Data Science roles.

No prior experience in Software Testing is required, but a basic understanding of IT concepts will be helpful. Ideal learners may have a background or interest in:

• Programming or Software Engineering principles

• Cloud technologies or Cloud Data platforms (e.g., AWS, Azure)

• Spreadsheet tools or BI dashboards used in Data Analysis

• Basic networking or security protocols tied to Cybersecurity

• Coding experience with Python, Java, or SQL (helpful for Data Science)

After completing this course, you will be prepared for in-demand roles such as:

• Software Testing Analyst / QA Tester

• Cloud Data QA Engineer / SDET

• Data Analysis Validator / Test Engineer

• Cybersecurity QA Specialist / Security Tester

• Software Engineering QA Lead

• Data Science Quality Assurance Engineer

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