Certificate in Data-Informed Decision Making for ELL

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The Certificate in Data-Informed Decision Making for ELL is a comprehensive course designed to equip learners with essential skills for data-driven decision making in the ELL (English Language Learners) education sector. This program is crucial in the current industry landscape, where data analysis plays a pivotal role in shaping educational policies and teaching methodologies.

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ใ“ใฎใ‚ณใƒผใ‚นใซใคใ„ใฆ

By enrolling in this course, learners will gain a solid understanding of data collection, analysis, and interpretation techniques, thereby enabling them to make informed decisions that enhance ELL student outcomes. The course is led by industry experts, providing learners with real-world insights and practical skills that are highly sought after by employers. Upon completion, learners will be able to demonstrate proficiency in data-informed decision making, setting them apart in a competitive job market. This certification is an excellent opportunity for educators, administrators, and policymakers looking to advance their careers and positively impact ELL education.

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ๅ…ฑๆœ‰ๅฏ่ƒฝใช่จผๆ˜Žๆ›ธ

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ใ‚ณใƒผใ‚น่ฉณ็ดฐ

โ€ข Data-Informed Decision Making for English Language Learners (ELL)
โ€ข Data Analysis in Education
โ€ข Assessment Methods for ELL
โ€ข Data Collection Strategies for ELL
โ€ข Statistical Analysis in Education
โ€ข Using Data to Inform Decisions for ELL
โ€ข Collaborative Data Inquiry for ELL
โ€ข Evaluating the Effectiveness of ELL Programs
โ€ข Data Privacy and Security in Education
โ€ข Culturally Responsive Teaching and Data

ใ‚ญใƒฃใƒชใ‚ขใƒ‘ใ‚น

The **Certificate in Data-Informed Decision Making for ELL** is designed to equip learners with essential skills for various data-centric roles in the United Kingdom. This section features a 3D pie chart representing the most in-demand positions in the data domain. Explore the job market trends in the ELL field with the following roles: 1. **Data Analyst**: Overseeing 40% of the data-informed decision-making roles, these professionals collect, process, and interpret data sets to create actionable insights for businesses. 2. **Machine Learning Engineer**: Accounting for 25% of the sector, these experts design, implement, and evaluate machine learning systems that can learn and improve upon tasks without explicit programming. 3. **Data Scientist**: Making up 20% of the industry, data scientists analyse complex digital data sets to help companies make decisions and predictions. 4. **Business Intelligence Developer**: With 10% of the market share, these professionals develop and maintain business intelligence tools and systems to facilitate data analysis and reporting. 5. **Data Engineer**: Comprising the remaining 5%, data engineers build and maintain data systems, pipelines, and databases for data storage and retrieval.

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ไบ‹ๅ‰ใฎๆญฃๅผใช่ณ‡ๆ ผใฏไธ่ฆใ€‚ใ‚ขใ‚ฏใ‚ปใ‚ทใƒ“ใƒชใƒ†ใ‚ฃใฎใŸใ‚ใซ่จญ่จˆใ•ใ‚ŒใŸใ‚ณใƒผใ‚นใ€‚

ใ‚ณใƒผใ‚น็Šถๆณ

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  • ่ชๅฏใ•ใ‚ŒใŸๆฉŸ้–ขใซใ‚ˆใฃใฆ่ชๅฎšใ•ใ‚Œใฆใ„ใชใ„
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ใ‚ณใƒผใ‚นใ‚’ๆญฃๅธธใซๅฎŒไบ†ใ™ใ‚‹ใจใ€ไฟฎไบ†่จผๆ˜Žๆ›ธใ‚’ๅ—ใ‘ๅ–ใ‚Šใพใ™ใ€‚

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ใ“ใฎใ‚ณใƒผใ‚นใ‚’ไป–ใฎใ‚ณใƒผใ‚นใจๅŒบๅˆฅใ™ใ‚‹ใ‚‚ใฎใฏไฝ•ใงใ™ใ‹๏ผŸ

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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‚นใฎๅฝขๅผใจๅญฆ็ฟ’ใ‚ขใƒ—ใƒญใƒผใƒใฏไฝ•ใงใ™ใ‹๏ผŸ

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ใ‚ณใƒผใ‚นๆƒ…ๅ ฑใ‚’ๅ–ๅพ—

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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‚ตใƒณใƒ—ใƒซ่จผๆ˜Žๆ›ธใฎ่ƒŒๆ™ฏ
CERTIFICATE IN DATA-INFORMED DECISION MAKING FOR ELL
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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