Global Certificate in Data Science for Ad Tech & MarTech

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The Global Certificate in Data Science for Ad Tech & MarTech is a comprehensive course designed to equip learners with essential data science skills tailored for the advertising and marketing technology industries. This program emphasizes the importance of data-driven decision-making in these sectors, where harnessing big data provides a competitive edge.

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ใ“ใฎใ‚ณใƒผใ‚นใซใคใ„ใฆ

With the exponential growth of digital marketing, the demand for data-savvy professionals has surged. This course offers a timely response, bridging the gap between data science and marketing technology. Through this program, learners acquire critical skills in data analysis, machine learning, and predictive modeling. They gain hands-on experience with industry-standard tools and platforms, preparing them for roles such as Marketing Data Scientist or Ad Tech Analyst. By integrating data science into their marketing strategies, professionals can unlock new insights, optimize campaigns, and drive business growth.

100%ใ‚ชใƒณใƒฉใ‚คใƒณ

ใฉใ“ใ‹ใ‚‰ใงใ‚‚ๅญฆ็ฟ’

ๅ…ฑๆœ‰ๅฏ่ƒฝใช่จผๆ˜Žๆ›ธ

LinkedInใƒ—ใƒญใƒ•ใ‚ฃใƒผใƒซใซ่ฟฝๅŠ 

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้€ฑ2-3ๆ™‚้–“

ใ„ใคใงใ‚‚้–‹ๅง‹

ๅพ…ๆฉŸๆœŸ้–“ใชใ—

ใ‚ณใƒผใ‚น่ฉณ็ดฐ

โ€ข Data Science Foundations: Data Collection, Data Wrangling, Data Analysis, Data Visualization
โ€ข Statistical Methods: Descriptive Statistics, Inferential Statistics, Probability Distributions, Hypothesis Testing
โ€ข Machine Learning: Supervised Learning, Unsupervised Learning, Reinforcement Learning, Model Evaluation
โ€ข Data Storytelling: Communicating Data Insights, Data-Driven Decision Making, Effective Data Presentation
โ€ข Ad Tech & MarTech Fundamentals: Advertising Technology, Marketing Technology, Programmatic Advertising, Attribution Modeling
โ€ข Data Science Applications in Ad Tech & MarTech: Audience Segmentation, Predictive Analytics, Cross-Channel Attribution, Personalization
โ€ข Ethics in Data Science: Data Privacy, Bias Mitigation, Responsible AI, Ethical Decision Making
โ€ข Emerging Trends in Ad Tech & MarTech: AI in Advertising, Blockchain in Marketing, Augmented Reality in Advertising, Voice Search in Marketing

ใ‚ญใƒฃใƒชใ‚ขใƒ‘ใ‚น

The **Global Certificate in Data Science for Ad Tech & MarTech** focuses on in-demand roles driving the Advertising Technology and Marketing Technology industries. This 3D pie chart represents the most sought-after positions in the field, along with their respective shares in the market. 1. **Data Scientist:** As a key role in Ad Tech & MarTech, data scientists utilize advanced analytics techniques to extract valuable insights, accounting for 35% of the market. 2. **Data Analyst:** Comprising 25% of the market, data analysts collect, process, and perform statistical analyses on data to help businesses make informed decisions. 3. **Marketing Analytics Manager:** Overseeing marketing efforts, these professionals use data analysis to optimize campaigns and allocate resources effectively, representing 20% of the market. 4. **Business Intelligence Developer:** With a 15% share, BI developers create and maintain data systems, ensuring seamless data flow and providing actionable insights. 5. **Data Engineer:** The smallest segment, data engineers build and maintain data architectures, holding a 5% share in Ad Tech & MarTech.

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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
GLOBAL CERTIFICATE IN DATA SCIENCE FOR AD TECH & MARTECH
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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