Certificate Data Science for Social Good

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The Certificate in Data Science for Social Good is a comprehensive course that empowers learners with the essential skills to apply data science in addressing social issues. This program highlights the importance of data-driven decision-making for positive societal impact, making it increasingly relevant in today's data-centric world.

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ใ“ใฎใ‚ณใƒผใ‚นใซใคใ„ใฆ

With the rapid growth of data availability and the demand for data science professionals, this course offers a unique opportunity to blend technical expertise with social consciousness. Learners will gain hands-on experience with data analysis, machine learning, and visualization techniques, enabling them to tackle complex social challenges and drive change. Upon completion, learners will be equipped with the skills to pursue rewarding careers in various industries, such as public health, education, environmental conservation, and social welfare. By merging data science and social impact, this course not only advances participants' careers but also contributes to the greater good.

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้€ฑ2-3ๆ™‚้–“

ใ„ใคใงใ‚‚้–‹ๅง‹

ๅพ…ๆฉŸๆœŸ้–“ใชใ—

ใ‚ณใƒผใ‚น่ฉณ็ดฐ

โ€ข Data Collection for Social Good
โ€ข Data Cleaning and Pre-processing
โ€ข Exploratory Data Analysis
โ€ข Statistical Analysis for Social Impact
โ€ข Data Visualization for Social Good
โ€ข Machine Learning for Social Impact
โ€ข Ethics and Bias in Data Science
โ€ข Deploying Data Science Models for Social Good
โ€ข Evaluating the Impact of Data Science for Social Good

ใ‚ญใƒฃใƒชใ‚ขใƒ‘ใ‚น

The certificate in Data Science for Social Good brings numerous opportunities in the UK job market. This 3D pie chart showcases the distribution of roles and their demand in the industry. 1. Data Scientist: With a 70% share, data scientists are most sought after due to their advanced analytical skills and ability to derive meaningful insights from complex data sets. 2. Data Analyst: Data analysts, accounting for 15% of the market, are essential in processing and interpreting data to inform business decisions and strategies. 3. Data Engineer: Data engineers, representing 10% of the market, focus on building and maintaining data systems, pipelines, and databases. 4. Data Administrator: Data administrators, with a 5% share, handle the organization, storage, and security of data assets within an organization.

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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“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 SCIENCE FOR SOCIAL GOOD
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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