Certificate in Data-driven Decision Making in

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The Certificate in Data-driven Decision Making is a comprehensive program that empowers learners with the necessary skills to leverage data for informed decision-making in the workplace. This course is crucial in today's data-driven world, where businesses rely heavily on data to stay competitive.

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ใ“ใฎใ‚ณใƒผใ‚นใซใคใ„ใฆ

With a focus on industry-relevant tools and techniques, this certificate course equips learners with the ability to collect, analyze, and interpret data, turning raw information into actionable insights. The course is designed to meet the growing demand for data-savvy professionals across various industries, providing a solid foundation in data literacy and analytical skills. By completing this course, learners will be able to demonstrate their proficiency in data-driven decision making, a skill highly sought after by employers. This certificate course not only enhances learners' analytical capabilities but also prepares them for career advancement in a data-centric world.

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ใ‚ณใƒผใ‚น่ฉณ็ดฐ

โ€ข Data Collection and Analysis: This unit will cover the fundamentals of data collection, processing, and analysis, including data types, sources, and methods for collecting and cleaning data.
โ€ข Data Visualization: In this unit, students will learn how to present data in a visual format to aid in decision making, including chart types, data storytelling, and dashboard design.
โ€ข Statistical Analysis: This unit will cover statistical methods, including probability distributions, hypothesis testing, and regression analysis, and how to apply them to data-driven decision-making.
โ€ข Machine Learning: Students will learn about machine learning techniques, including supervised and unsupervised learning, and how to use them to make predictions and inform decision-making.
โ€ข Big Data and Data Science: This unit will cover the fundamentals of big data, including data storage, processing, and analysis techniques, and the role of data science in decision-making.
โ€ข Data Privacy and Security: This unit will cover data privacy and security best practices, including data protection laws, data encryption, and access controls.
โ€ข Decision-Making Frameworks: In this unit, students will learn about different decision-making frameworks, including cost-benefit analysis, decision trees, and game theory.
โ€ข Ethics of Data-Driven Decision Making: This unit will cover ethical considerations in data-driven decision-making, including fairness, transparency, and accountability.
โ€ข Implementing Data-Driven Decision Making: The final unit will cover how to implement data-driven decision-making in an organization, including change management, stakeholder engagement, and measuring the impact of data-driven decisions.

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ใ‚ตใƒณใƒ—ใƒซ่จผๆ˜Žๆ›ธใฎ่ƒŒๆ™ฏ
CERTIFICATE IN DATA-DRIVEN DECISION MAKING IN
ใซๆŽˆไธŽใ•ใ‚Œใพใ™
ๅญฆ็ฟ’่€…ๅ
ใงใƒ—ใƒญใ‚ฐใƒฉใƒ ใ‚’ๅฎŒไบ†ใ—ใŸไบบ
London College of Foreign Trade (LCFT)
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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