Professional Certificate in Marketing Analytics for Growth

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The Professional Certificate in Marketing Analytics for Growth is a course designed to equip learners with essential skills for career advancement in the marketing industry. This program emphasizes the importance of data-driven decision making and provides learners with the tools and techniques necessary to analyze consumer behavior, market trends, and performance metrics.

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In today's digital age, marketing analytics has become increasingly important for businesses seeking to drive growth and achieve a competitive advantage. This course is designed to meet the growing industry demand for professionals who can leverage data and analytics to inform marketing strategies and drive business results. Throughout the course, learners will develop a deep understanding of marketing analytics concepts, including data visualization, customer segmentation, attribution modeling, and predictive analytics. They will also gain hands-on experience with industry-leading tools and technologies, such as Google Analytics, Tableau, and R. By the end of the course, learners will have a portfolio of real-world projects to showcase their skills and expertise to potential employers. Whether you're a marketing professional seeking to advance your career, or a career changer looking to break into the field, this course will provide you with the essential skills and knowledge needed to succeed in today's data-driven marketing landscape.

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โ€ข Introduction to Marketing Analytics: Understanding the role of data-driven decision making in marketing, key metrics, and data collection methods.

โ€ข Data Analysis for Marketers: Basics of statistical analysis, data visualization, and interpretation of results.

โ€ข Segmentation and Targeting: Customer segmentation techniques, target market selection, and positioning strategies.

โ€ข Marketing Mix Modeling: Analyzing the impact of product, price, place, and promotion on sales.

โ€ข Customer Lifetime Value Analysis: Quantifying the value of a customer, calculating CLV, and its implications for marketing strategy.

โ€ข Predictive Analytics in Marketing: Introduction to machine learning, predictive modeling, and their applications in marketing.

โ€ข Digital Marketing Analytics: Tracking and analyzing website traffic, social media engagement, and email marketing campaigns.

โ€ข Market Research Methods: Quantitative and qualitative research methods, survey design, and data collection.

โ€ข Attribution Modeling: Understanding the customer journey, multi-channel attribution, and marketing channel optimization.

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PROFESSIONAL CERTIFICATE IN MARKETING ANALYTICS FOR GROWTH
ๆŽˆไบˆ็ป™
ๅญฆไน ่€…ๅง“ๅ
ๅทฒๅฎŒๆˆ่ฏพ็จ‹็š„ไบบ
London School of International Business (LSIB)
ๆŽˆไบˆๆ—ฅๆœŸ
05 May 2025
ๅŒบๅ—้“พID๏ผš s-1-a-2-m-3-p-4-l-5-e
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