Certificate Data Analysis in QA
-- viewing nowThe Certificate in Data Analysis in QA is a comprehensive course that equips learners with essential skills for career advancement in the rapidly growing field of Quality Assurance (QA). This program emphasizes the importance of data-driven decision-making in QA, teaching learners how to collect, analyze, and interpret data to optimize software development processes and improve product quality.
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Course Details
• Data Analysis Fundamentals: Introduction to data analysis, data types, data sources, and data quality
• Statistical Analysis: Descriptive statistics, inferential statistics, probability distributions, and statistical tests
• Data Visualization: Charting, graphing, and data representation using visual tools
• Data Cleaning and Preparation: Data cleansing, data transformation, and data preparation for analysis
• Data Querying and Reporting: SQL, data querying, and report generation
• Data Mining and Machine Learning: Data mining techniques, predictive modeling, and machine learning algorithms
• Quality Assurance in Data Analysis: Data validation, data accuracy, and data quality assurance
• Data Analysis Tools and Technologies: MS Excel, R, Python, Tableau, Power BI, and SAS.
Career Path
Entry Requirements
- Basic understanding of the subject matter
- Proficiency in English language
- Computer and internet access
- Basic computer skills
- Dedication to complete the course
No prior formal qualifications required. Course designed for accessibility.
Course Status
This course provides practical knowledge and skills for professional development. It is:
- Not accredited by a recognized body
- Not regulated by an authorized institution
- Complementary to formal qualifications
You'll receive a certificate of completion upon successfully finishing the course.
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