Undergraduate Certificate in Data Analytics Frameworks

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The Undergraduate Certificate in Data Analytics Frameworks is a vital course designed to meet the skyrocketing industry demand for data-savvy professionals. This certificate equips learners with essential skills in data manipulation, visualization, and analysis, empowering them to turn raw data into actionable insights.

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ใ“ใฎใ‚ณใƒผใ‚นใซใคใ„ใฆ

By understanding and implementing data analytics frameworks, learners can make informed decisions, solve complex problems, and drive business success. This hands-on program covers industry-standard tools such as Excel, SQL, Python, and Tableau, ensuring a well-rounded skill set for various career paths. In today's data-driven world, this certificate course is a powerful differentiator, opening doors to opportunities in numerous sectors. Graduates will be prepared to excel in roles such as Data Analyst, Business Intelligence Analyst, and Operations Analyst, ultimately advancing their careers and increasing their earning potential.

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ใ‚ณใƒผใ‚น่ฉณ็ดฐ

โ€ข Introduction to Data Analytics 
โ€ข Data Collection and Management
โ€ข Statistical Analysis for Data Analytics
โ€ข Data Visualization Fundamentals
โ€ข Introduction to Machine Learning
โ€ข Big Data Analytics with Hadoop and Spark
โ€ข Data Mining Techniques
โ€ข Predictive Analytics using Regression Models
โ€ข Natural Language Processing and Text Analytics

ใ‚ญใƒฃใƒชใ‚ขใƒ‘ใ‚น

The undergraduate certificate in Data Analytics framework prepares students for various data-driven roles. This 3D pie chart highlights the UK job market trends for these roles: Data Analyst, Data Scientist, Business Intelligence Analyst, and Data Engineer. With 45% of the market share, Data Analyst roles are most in-demand, followed by Data Scientist roles at 30%. Business Intelligence Analyst roles represent 15% of the demand, while Data Engineer roles account for 10%. Displayed in a 3D format, the chart enhances visual representation and provides valuable insights into industry-relevant roles. The Google Charts library ensures a responsive and adaptable chart, rendering seamlessly on all screen sizes. The transparent background and lack of added background color maintain the focus on the chart and its data. The chart's width is set to 100%, allowing it to adapt to various screen sizes, while the height is set to 400px to ensure proper proportion and presentation.

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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‚ตใƒณใƒ—ใƒซ่จผๆ˜Žๆ›ธใฎ่ƒŒๆ™ฏ
UNDERGRADUATE CERTIFICATE IN DATA ANALYTICS FRAMEWORKS
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
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