Global Certificate in Data-driven Marketing Analytics Techniques

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The Global Certificate in Data-driven Marketing Analytics Techniques is a comprehensive course designed to equip learners with essential skills for career advancement in the data-driven marketing industry. This course emphasizes the importance of data-driven decision-making and provides hands-on experience with various analytical tools and techniques.

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ร€ propos de ce cours

In today's digital age, data has become the backbone of marketing strategies, and businesses that leverage data-driven insights have a competitive edge in the market. This course covers various topics, including data visualization, customer segmentation, predictive analytics, and marketing mix modeling, among others. By the end of this course, learners will be able to analyze and interpret complex data sets, draw meaningful insights, and develop data-driven marketing strategies that drive business growth. With the demand for data-driven marketing professionals on the rise, this course provides learners with a unique opportunity to advance their careers and stay ahead in the ever-evolving marketing landscape.

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Dรฉtails du cours

โ€ข Unit 1: Introduction to Data-driven Marketing Analytics
โ€ข Unit 2: Data Collection and Management for Marketing Analytics
โ€ข Unit 3: Statistical Analysis and Data Interpretation
โ€ข Unit 4: Marketing Analytics Tools and Techniques
โ€ข Unit 5: Customer Segmentation and Targeting
โ€ข Unit 6: Customer Lifetime Value (CLV) Analysis
โ€ข Unit 7: Marketing Mix Modeling and Optimization
โ€ข Unit 8: Web and Social Media Analytics
โ€ข Unit 9: Predictive Analytics and Forecasting
โ€ข Unit 10: Data Visualization and Reporting in Marketing Analytics

Parcours professionnel

The Global Certificate in Data-driven Marketing Analytics Techniques is a comprehensive program designed to equip learners with essential skills for the modern data-driven marketing landscape in the UK. Our curriculum covers job market trends, salary ranges, and skill demands, which are crucial for success in marketing analytics roles. Our program includes courses for the following roles, represented in this 3D pie chart: 1. Data Scientist (25%): In this role, individuals analyze and interpret complex digital data to help businesses make data-driven decisions. 2. Marketing Analyst (30%): Marketing analysts collect, analyze, and interpret data to help companies better understand their target markets and improve their marketing strategies. 3. Business Intelligence Analyst (20%): These professionals use data analysis to optimize business processes and performance, supporting strategic business decisions. 4. Digital Marketing Specialist (15%): Digital marketing specialists are responsible for driving online traffic, engagement, and conversions through various digital channels. 5. CRM Analyst (10%): CRM analysts optimize customer relationship management strategies to help businesses increase customer satisfaction, loyalty, and revenue. These roles are in high demand in the UK, and our Global Certificate in Data-driven Marketing Analytics Techniques will help you gain the skills necessary to excel in these positions. With our program, you will be prepared to take advantage of the growing job market and salary ranges in the data-driven marketing industry.

Exigences d'admission

  • Comprรฉhension de base de la matiรจre
  • Maรฎtrise de la langue anglaise
  • Accรจs ร  l'ordinateur et ร  Internet
  • Compรฉtences informatiques de base
  • Dรฉvouement pour terminer le cours

Aucune qualification formelle prรฉalable requise. Cours conรงu pour l'accessibilitรฉ.

Statut du cours

Ce cours fournit des connaissances et des compรฉtences pratiques pour le dรฉveloppement professionnel. Il est :

  • Non accrรฉditรฉ par un organisme reconnu
  • Non rรฉglementรฉ par une institution autorisรฉe
  • Complรฉmentaire aux qualifications formelles

Vous recevrez un certificat de rรฉussite en terminant avec succรจs le cours.

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GLOBAL CERTIFICATE IN DATA-DRIVEN MARKETING ANALYTICS TECHNIQUES
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UK School of Management (UKSM)
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05 May 2025
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