Digital Marketing 2
Learn advanced digital marketing analytics tools and techniques to leverage data for actionable insights and effective campaigns.
Learn advanced digital marketing analytics tools and techniques to leverage data for actionable insights and effective campaigns.
This course delves into advanced digital marketing analytics, focusing on leveraging big data and AI for actionable insights. Students will explore tools and strategies for data-driven decision-making across various industries. The curriculum covers search engine marketing, website analytics, online testing, machine learning, and AI/Big Data applications. Key topics include analyzing paid search campaigns, understanding SEO and recommendation systems, evaluating campaign analytics, and exploring machine learning methods. The course also examines the expanding applications of big data in neural networks. Designed for marketing influencers, digital marketing analysts, and brand decision-makers, this course equips learners with the skills to analyze customer data, develop relevant hypotheses, and create convincing narratives for actionable results. By the end of the course, participants will be able to effectively leverage leading digital marketing analysis tools and techniques to strengthen their marketing efforts.
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What you'll learn
Analyze and assess the performance of paid search campaigns
Describe the importance of SEO and recommendation systems in digital environments
Evaluate campaign analytics and use online testing for digital marketing campaigns
Describe the paradigm shift in machine learning methods for marketing
Identify the process of evaluating the performance of machine learning algorithms
Describe the expanding application of big data in neural networks for marketing
Skills you'll gain
This course includes:
1.7 Hours PreRecorded video
7 assignments
Access on Mobile, Tablet, Desktop
Batch access
Shareable certificate
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Top companies provide this course to enhance their employees' skills, ensuring they excel in handling complex projects and drive organizational success.
There are 4 modules in this course
This course provides a comprehensive exploration of advanced digital marketing analytics tools and techniques. It covers four main areas: SEO, paid search, and web analytics; online testing and recommendation systems; machine learning in marketing; and big data and artificial intelligence applications. Students will learn to analyze and optimize paid search campaigns, understand SEO strategies, evaluate campaign analytics through online testing, and explore the paradigm shift in machine learning methods. The course also delves into the expanding applications of big data and AI in marketing, including deep learning and neural networks. By the end of the course, learners will be equipped to leverage data-driven insights for more effective digital marketing strategies.
SEO, Paid Search, and Web Analytics
Module 1 · 4 Hours to complete
Online Testing and Recommendation Systems
Module 2 · 1 Hours to complete
Machine Learning
Module 3 · 4 Hours to complete
Big Data and Artificial Intelligence
Module 4 · 7 Hours to complete
Payment options
Financial Aid
Instructor
Enhancing Online Learning through Faculty Support and Instructional Design
Dr. Arifa Garman specializes in assisting both new and experienced faculty in online teaching by leveraging effective pedagogies, technology tools, and learning management systems. As the Executive Director of eLearning and Testing at Gulf Coast State College, she successfully transitioned the university's in-person courses to remote teaching during the COVID-19 pandemic by providing timely training for faculty at all levels of online learning experience. Currently, she serves as an instructional designer at the University of Maryland’s Smith Business School, focusing on creating engaging online learning environments. Dr. Garman is a Quality Matters Certified Reviewer and Online Learning Consortium Facilitator, and she has led significant projects such as the migration from Angel LMS to Instructure Canvas. With a commitment to professional development across various modalities, her work emphasizes building strong learning communities and bridging technology with education. She is also expanding her expertise by pursuing a PMP certificate.
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Frequently asked questions
Below are some of the most commonly asked questions about this course. We aim to provide clear and concise answers to help you better understand the course content, structure, and any other relevant information. If you have any additional questions or if your question is not listed here, please don't hesitate to reach out to our support team for further assistance.