Digital Marketing Analytics: Tools and Techniques
This course provides an overview of the tools and techniques used in digital marketing analytics. It covers the use of big data to gain insights into customer behaviour, as well as the history of marketing actions and how to use them to inform decisions. Participants will gain an understanding of how to use analytics to improve their digital marketing strategies. ▼
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Course Feature
Cost:
Free
Provider:
Edx
Certificate:
Paid Certification
Language:
English
Start Date:
Self paced
Course Overview
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Updated in [March 05th, 2023]
This course, Digital Marketing Analytics: Tools and Techniques, provides an overview of the tools and strategies used to make data-driven decisions in the digital marketing space. Participants will learn how to assess critical managerial problems, develop relevant hypotheses, analyze data, and draw inferences to create convincing narratives that yield actionable results. Artificial intelligence and machine learning will be explored as tools to deepen analytical skills and acumen and hone decision making. Real-world applications from various industries will be used to illustrate the concepts. This course is part of Maryland Smith’s Digital Marketing Professional Certificate.
[Applications]
Upon completion of this course, participants will be able to apply the digital marketing analytics tools and techniques they have learned to their own businesses. They will be able to assess critical managerial problems, develop relevant hypotheses, analyze data, draw inferences, and create convincing narratives that yield actionable results. Additionally, they will be able to use artificial intelligence and machine learning to deepen their analytical skills and hone their decision making.
[Career Paths]
1. Digital Marketing Analyst: Digital marketing analysts are responsible for analyzing customer data to identify trends and insights that can be used to inform marketing strategies. They use a variety of tools and techniques to analyze customer behavior, such as web analytics, customer surveys, and in-store and online customer transactions. As digital marketing continues to evolve, digital marketing analysts must stay up to date on the latest trends and technologies to ensure their strategies are effective.
2. Product and Brand Decision Maker: Product and brand decision makers are responsible for making decisions about the products and services offered by a company. They use data from customer surveys, web analytics, and other sources to identify customer needs and preferences, and then use this information to develop and implement strategies to meet those needs. As digital marketing continues to evolve, product and brand decision makers must stay up to date on the latest trends and technologies to ensure their strategies are effective.
3. Artificial Intelligence and Machine Learning Specialist: Artificial intelligence and machine learning specialists are responsible for developing and implementing algorithms and models that can be used to analyze customer data and make predictions about customer behavior. They use a variety of tools and techniques to develop and refine these algorithms and models, such as natural language processing, deep learning, and reinforcement learning. As digital marketing continues to evolve, artificial intelligence and machine learning specialists must stay up to date on the latest trends and technologies to ensure their strategies are effective.
4. Digital Marketing Influencer: Digital marketing influencers are responsible for creating and sharing content that will help to promote a company’s products and services. They use a variety of tools and techniques to create content that will engage customers and drive sales, such as social media, video, and email marketing. As digital marketing continues to evolve, digital marketing influencers must stay up to date on the latest trends and technologies to ensure their strategies are effective.
[Education Paths]
1. Bachelor of Science in Business Analytics: A Bachelor of Science in Business Analytics is a degree program that focuses on the use of data and analytics to make informed business decisions. This degree program typically includes courses in data analysis, statistics, economics, and computer science. Students will learn how to use data to identify trends, develop strategies, and make decisions that will help their organization succeed. This degree is becoming increasingly popular as businesses become more data-driven and the need for data-savvy professionals grows.
2. Master of Science in Business Analytics: A Master of Science in Business Analytics is a degree program that focuses on the use of data and analytics to make informed business decisions. This degree program typically includes courses in data analysis, statistics, economics, and computer science. Students will learn how to use data to identify trends, develop strategies, and make decisions that will help their organization succeed. This degree is becoming increasingly popular as businesses become more data-driven and the need for data-savvy professionals grows.
3. Master of Business Administration in Business Analytics: A Master of Business Administration in Business Analytics is a degree program that focuses on the use of data and analytics to make informed business decisions. This degree program typically includes courses in data analysis, statistics, economics, and computer science. Students will learn how to use data to identify trends, develop strategies, and make decisions that will help their organization succeed. This degree is becoming increasingly popular as businesses become more data-driven and the need for data-savvy professionals grows.
4. Doctor of Philosophy in Business Analytics: A Doctor of Philosophy in Business Analytics is a degree program that focuses on the use of data and analytics to make informed business decisions. This degree program typically includes courses in data analysis, statistics, economics, and computer science. Students will learn how to use data to identify trends, develop strategies, and make decisions that will help their organization succeed. This degree is becoming increasingly popular as businesses become more data-driven and the need for data-savvy professionals grows.
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