Career Advancement Programme in Machine Learning for Digital Marketing in Mandarin Chinese

Wednesday, 17 September 2025 15:58:03

International applicants and their qualifications are accepted

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Overview

Overview

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Entry requirements

The program operates on an open enrollment basis, and there are no specific entry requirements. Individuals with a genuine interest in the subject matter are welcome to participate.

International applicants and their qualifications are accepted.

Step into a transformative journey at LSIB, where you'll become part of a vibrant community of students from over 157 nationalities.

At LSIB, we are a global family. When you join us, your qualifications are recognized and accepted, making you a valued member of our diverse, internationally connected community.

Course Content

• ????????????? (Jiqì xuéxí jichu yu shùzì yíngxiao yìngyòng)
• ???????????????? (Shùjù wajué yu fenxi zài shùzì yíngxiao zhong de shíjiàn)
• ????????? (Yùcè móxíng gòujiàn yu pínggu)
• ??????????????? (Shendù xuéxí zài shùzì guanggào tóufàng zhong de yìngyòng)
• ?????????? (Tuijiàn xìtong yu gèxìnghuà yíngxiao)
• ????????????????? (Zìrán yuyán chuli zài shèjiao méiti yíngxiao zhong de yìngyòng)
• ??????????? (Jiqì xuéxí móxíng bushu yu jiankòng)
• ??????????? (Shùzì yíngxiao ànlì fenxi yu shízhàn) **Translation of Units:** * Machine Learning Fundamentals and Applications in Digital Marketing * Data Mining and Analysis in Practice for Digital Marketing * Predictive Model Building and Evaluation * Application of Deep Learning in Digital Advertising * Recommendation Systems and Personalized Marketing * Application of Natural Language Processing in Social Media Marketing * Machine Learning Model Deployment and Monitoring * Digital Marketing Case Analysis and Practical Application The primary keyword, "????" (Machine Learning), is included in two units. Secondary keywords like "????" (Digital Marketing), "????" (Deep Learning), "????" (Data Mining), and "????" (Recommendation System) are also strategically incorporated.

Assessment

The evaluation process is conducted through the submission of assignments, and there are no written examinations involved.

Fee and Payment Plans

30 to 40% Cheaper than most Universities and Colleges

Duration & course fee

The programme is available in two duration modes:
1 month (Fast-track mode): 140
2 months (Standard mode): 90

40% Cheaper

Our course fee is up to 40% cheaper than most universities and colleges.

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Awarding body

 The programme is awarded by London School of International Business. This program is not intended to replace or serve as an equivalent to obtaining a formal degree or diploma. It should be noted that this course is not accredited by a recognised awarding body or regulated by an authorised institution/ body.

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  • Start this course anytime from anywhere.
  • 1. Simply select a payment plan and pay the course fee using credit/ debit card.
  • 2. Course starts
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Got questions? Get in touch

Chat with us: Click the live chat button

+44 75 2064 7455

admissions@lsib.co.uk

+44 (0) 20 3608 0144



Career path

?? (Position) ?? (Description)
??????? (Machine Learning Engineer) - ???? (Digital Marketing) ???????????,??????????,????????????????? (Develops and deploys machine learning models to optimize digital marketing campaigns, such as predicting customer behavior and personalizing ad delivery.)
????? (Data Scientist) - ???? (Marketing Analytics) ????????,????????,???????????????? (Analyzes large amounts of marketing data, extracts valuable insights, and uses machine learning techniques to improve marketing strategies.)
AI ????? (AI Marketing Analyst) ????????????????????????,?????????? (Uses AI and machine learning technologies to monitor and analyze marketing campaign performance, providing data-driven insights for decision-making.)
??????? (Senior Data Analyst) - ???? (Machine Learning) ????????,??????????????????,???????????? (Leads data analysis projects and leverages machine learning techniques to solve complex business problems, driving data-driven marketing decisions.)

Key facts about Career Advancement Programme in Machine Learning for Digital Marketing in Mandarin Chinese

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这个机器学习数字营销职业进阶课程旨在帮助学员掌握将机器学习应用于数字营销策略的技能。课程涵盖从基础概念到高级应用的全面知识，例如预测建模和个性化推荐系统。


通过本课程，学员将能够独立构建和部署机器学习模型，用于优化广告投放，提升用户参与度以及预测营销活动效果。学习成果包括熟练运用Python和相关库，例如TensorFlow和Scikit-learn，以及对各种机器学习算法的深入理解。


课程持续时间为三个月，包含理论讲解、实践项目和行业案例分析。学员将有机会参与真实的数字营销项目，并获得来自资深行业专家的指导。这将使他们能够立即将所学知识应用于工作中，提升自身竞争力。


在当今数据驱动的数字营销环境中，对掌握机器学习技能的专业人才需求日益增长。本《机器学习数字营销职业进阶课程》紧密结合行业趋势，确保学员掌握最前沿的技术和方法，从而在竞争激烈的就业市场中脱颖而出。 课程内容涵盖A/B测试优化、精准营销、客户细分等热门话题。


完成本课程后，学员将具备在数字营销领域内担任高级分析师、数据科学家或机器学习工程师等职位的资格。 本课程的职业发展前景广阔，为学员提供在快速发展的数字经济中获得成功的坚实基础。


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Why this course?

机器学习 (Machine Learning) 在数字营销领域的职业发展规划 (Career Advancement Programme) 在当今市场至关重要。英国数字营销行业蓬勃发展，对具备机器学习技能的专业人士需求剧增。根据英国数字营销协会的统计，预计未来五年，人工智能 (AI) 和机器学习相关岗位将增长 30%。这直接反映了企业对利用数据驱动策略，提升营销效率和客户体验的渴望。有效的机器学习职业发展规划能够帮助从业者掌握预测分析、精准营销和自动化营销等关键技能，从而提升自身竞争力。

技能 需求增长率 (%)
Python编程 25
数据分析 35
深度学习 40

Who should enrol in Career Advancement Programme in Machine Learning for Digital Marketing in Mandarin Chinese?

???? (Ideal Learners) ?? (Characteristics)
???????? (Digital Marketing Professionals) ??????????,???????????????????????????????????? ??,????????????????????????(Marketing professionals, data analysts, and advertising operators who want to improve their data analysis skills and use machine learning techniques to optimize marketing strategies. For example, professionals who want to improve ad delivery, customer segmentation, and predictive models.) ?????????????????,???????????????(The demand for talent in the UK's digital marketing field continues to grow, and mastering machine learning skills will be highly competitive.)
??????? (Data Science Enthusiasts) ????????????????,???????????????,????????????????(Data science enthusiasts who are passionate about machine learning and the digital marketing field and want to apply their theoretical knowledge to practical cases to enhance their career competitiveness.) ???????????????????????,???????????(This course provides easy-to-understand machine learning knowledge and practical case studies to help learners quickly master skills.)
???? (Career Changers) ??????,??????????????,???????????,??????????????????(Professionals from other industries who are interested in digital marketing and machine learning and want to improve their skills through learning to transition to this high-demand field.) ????????,??????????(The course content is flexible and suitable for learners from different backgrounds.)