Certificate Data Analysis in QA

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The 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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ใ“ใฎใ‚ณใƒผใ‚นใซใคใ„ใฆ

In today's data-driven world, the demand for QA professionals with strong data analysis skills is at an all-time high. By completing this course, learners will gain a competitive edge in the job market, demonstrating their ability to leverage data to drive business success. Throughout the course, learners will master a variety of essential data analysis techniques and tools, including statistical analysis, data visualization, and data management. They will also learn how to communicate complex data insights to both technical and non-technical stakeholders, making them invaluable assets to any organization. With a Certificate in Data Analysis in QA, learners can pursue exciting careers in software development, quality assurance, project management, and more. Enroll today and start your journey towards a rewarding and fulfilling career in data analysis!

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ๅ…ฑๆœ‰ๅฏ่ƒฝใช่จผๆ˜Žๆ›ธ

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ๅพ…ๆฉŸๆœŸ้–“ใชใ—

ใ‚ณใƒผใ‚น่ฉณ็ดฐ

โ€ข Data Analysis Fundamentals: Introduction to data analysis, data types, data sources, and data quality
โ€ข Statistical Analysis: Descriptive statistics, inferential statistics, probability distributions, and statistical tests
โ€ข Data Visualization: Charting, graphing, and data representation using visual tools
โ€ข Data Cleaning and Preparation: Data cleansing, data transformation, and data preparation for analysis
โ€ข Data Querying and Reporting: SQL, data querying, and report generation
โ€ข Data Mining and Machine Learning: Data mining techniques, predictive modeling, and machine learning algorithms
โ€ข Quality Assurance in Data Analysis: Data validation, data accuracy, and data quality assurance
โ€ข Data Analysis Tools and Technologies: MS Excel, R, Python, Tableau, Power BI, and SAS.

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ใ‚ณใƒผใ‚นใ‚’ๅฎŒไบ†ใ™ใ‚‹ใฎใซใฉใ‚Œใใ‚‰ใ„ๆ™‚้–“ใŒใ‹ใ‹ใ‚Šใพใ™ใ‹๏ผŸ

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ใ„ใคใ‚ณใƒผใ‚นใ‚’้–‹ๅง‹ใงใใพใ™ใ‹๏ผŸ

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ใ‚ณใƒผใ‚นๆƒ…ๅ ฑใ‚’ๅ–ๅพ—

่ฉณ็ดฐใชใ‚ณใƒผใ‚นๆƒ…ๅ ฑใ‚’ใŠ้€ใ‚Šใ—ใพใ™

ไผš็คพใจใ—ใฆๆ”ฏๆ‰•ใ†

ใ“ใฎใ‚ณใƒผใ‚นใฎๆ”ฏๆ‰•ใ„ใฎใŸใ‚ใซไผš็คพ็”จใฎ่ซ‹ๆฑ‚ๆ›ธใ‚’ใƒชใ‚ฏใ‚จใ‚นใƒˆใ—ใฆใใ ใ•ใ„ใ€‚

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ใ‚ญใƒฃใƒชใ‚ข่จผๆ˜Žๆ›ธใ‚’ๅ–ๅพ—

ใ‚ตใƒณใƒ—ใƒซ่จผๆ˜Žๆ›ธใฎ่ƒŒๆ™ฏ
CERTIFICATE DATA ANALYSIS IN QA
ใซๆŽˆไธŽใ•ใ‚Œใพใ™
ๅญฆ็ฟ’่€…ๅ
ใงใƒ—ใƒญใ‚ฐใƒฉใƒ ใ‚’ๅฎŒไบ†ใ—ใŸไบบ
London School of International Business (LSIB)
ๆŽˆไธŽๆ—ฅ
05 May 2025
ใƒ–ใƒญใƒƒใ‚ฏใƒใ‚งใƒผใƒณID๏ผš s-1-a-2-m-3-p-4-l-5-e
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