Certificate in Black Friday SMS: Data-Driven Decisions

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The Certificate in Black Friday SMS: Data-Driven Decisions is a valuable course that provides learners with essential skills for career advancement in the fast-paced world of e-commerce. This course focuses on data-driven decision-making and SMS marketing strategies, which are critical components of any successful Black Friday sales event.

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AboutThisCourse

With the ever-growing demand for online shopping, businesses are increasingly relying on SMS marketing to reach their customers and drive sales. This course equips learners with the skills to analyze data and make informed decisions, which can lead to more successful marketing campaigns and increased revenue. By the end of this course, learners will have a solid understanding of SMS marketing strategies, data analysis techniques, and how to use data to drive decision-making. They will also have the opportunity to apply their skills in real-world scenarios, giving them hands-on experience that can be applied directly to their careers. Overall, this course is essential for anyone looking to advance their career in e-commerce or marketing, and it provides learners with the skills and knowledge needed to succeed in a highly competitive industry.

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CourseDetails

โ€ข SMS Marketing Fundamentals
โ€ข Understanding Black Friday & Holiday Shopping Trends
โ€ข Data Analysis for SMS Marketing
โ€ข Creating Data-Driven SMS Campaigns
โ€ข Personalization in SMS Marketing
โ€ข Black Friday SMS Campaign Best Practices
โ€ข Measuring & Analyzing Black Friday SMS Campaign Performance
โ€ข Customer Segmentation for SMS Marketing
โ€ข Legal & Ethical Considerations in SMS Marketing

CareerPath

The Certificate in Black Friday SMS: Data-Driven Decisions course provides a comprehensive understanding of the data-driven job market trends in the UK. This section highlights the most in-demand roles and their respective salary ranges, represented through an engaging 3D pie chart. The primary keyword focus is on the following roles: 1. **Data Scientist**: This role involves using statistical methods and machine learning techniques to extract insights from data. Data Scientists can expect a salary range from ยฃ30,000 to ยฃ70,000 in the UK. 2. **Data Analyst**: Data Analysts collect, process, and perform statistical analyses on data to provide actionable insights. They can earn between ยฃ24,000 and ยฃ40,000 in the UK. 3. **Business Intelligence Developer**: This role focuses on designing and creating business intelligence solutions to facilitate data-driven decision-making. Business Intelligence Developers can earn between ยฃ25,000 and ยฃ50,000 in the UK. 4. **Database Administrator**: Database Administrators manage and maintain databases, ensuring data security and availability. They can expect a salary range from ยฃ25,000 to ยฃ50,000 in the UK. 5. **Data Engineer**: Data Engineers design, build, and maintain data infrastructure to support data processing, analysis, and reporting. They can earn between ยฃ35,000 and ยฃ70,000 in the UK. 6. **Statistician**: Statisticians use statistical methods and mathematical models to analyze and interpret data. They can expect a salary range from ยฃ25,000 to ยฃ60,000 in the UK. These roles are integral to the Black Friday SMS: Data-Driven Decisions course, designed to equip students with the necessary skills for success in the ever-evolving UK job market. The 3D pie chart visually represents the distribution of these roles, offering a clear understanding of each role's demand and significance.

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  • BasicUnderstandingSubject
  • ProficiencyEnglish
  • ComputerInternetAccess
  • BasicComputerSkills
  • DedicationCompleteCourse

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  • NotAccreditedRecognized
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FastTrack GBP £140
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AcceleratedLearningPath
  • ThreeFourHoursPerWeek
  • EarlyCertificateDelivery
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StandardMode GBP £90
CompleteInTwoMonths
FlexibleLearningPace
  • TwoThreeHoursPerWeek
  • RegularCertificateDelivery
  • OpenEnrollmentStartAnytime
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  • DigitalCertificate
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CERTIFICATE IN BLACK FRIDAY SMS: DATA-DRIVEN DECISIONS
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London School of International Business (LSIB)
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05 May 2025
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