What Is Programming? And How To Get Started
January 28, 2025
Article
SEO and SEM - KPIs and keyword strategies
Web Analytics - A/B Testing
Machine Learning/AI applications/Big Data
Text and Image Analysis
Add to your LinkedIn profile
December 2024
12 assignments
Add this credential to your LinkedIn profile, resume, or CV
Share it on social media and in your performance review
Businesses today have access to an increasingly large amount of detailed customer data, and this influx of “big data” is only going to continue. Combined with a detailed history of marketing actions, there is a newfound potential for deriving actionable insights, but you need the tools to do so. Using real-world applications from various industries, this course will help you understand the tools and strategies used to make data-driven decisions that you can put to use in your own company or business.
This valuable data may include in-store and online customer transactions, customer surveys, web analytics, as well as prices and advertising. You’ll also learn how to assess critical managerial problems, develop relevant hypotheses, analyze data and, most importantly, draw inferences to create convincing narratives which yield actionable results. Artificial intelligence and machine learning will be explored as tools to deepen analytical skills and acumen and hone decision making. This comprehensive exploration into digital marketing analytics tools and techniques is critical knowledge for any marketing influencers, digital marketing analysts and product and brand decision makers within small and medium businesses as well as larger organizations with international reach.
In the first module, we will introduce you to the course and the objectives. You'll have the opportunity to meet your instructor, connect with your peers, and get familiar with the Coursera platform and support resources. We'll also explore the strategies for optimizing search engine visibility, analyzing the performance of paid search campaigns, and leveraging web analytics to track and improve digital marketing effectiveness.
8 videos14 readings6 assignments2 discussion prompts
In this module, we will start with an exploration into Online Testing. Many managerial decisions are made based on professional knowledge and intuition, but often this knowledge is not sufficient enough to make the optimal decision. That's where testing comes in. Next, we will talk about Recommendation Systems. You may not realize it, but your internet experience is defined by recommendation systems. From music, games, videos, films, and what to buy, recommendation systems predict your preferences to suggest products or services that are likely to be of interest to you.
5 videos8 readings5 assignments2 discussion prompts1 plugin
Congratulations! You've made it to the end of the course. As a final assessment, it's time to apply your learning.
1 assignment
The University of Maryland, College Park is the state's flagship university and one of the nation's preeminent public research universities. A global leader in research, entrepreneurship and innovation, the university is home to more than 40,700 students, 14,000 faculty and staff, and nearly 400,000 alumni. The university’s faculty includes two Nobel laureates, 10 Pulitzer Prize winners, 69 members of the national academies and scores of Fulbright scholars. Located just outside Washington, D.C., the University of Maryland is committed to social entrepreneurship as the nation’s first “Do Good” campus, and discovers and shares new knowledge every day through research and programs in academics, the arts, and athletics.
Emory University
Course
Emory University
Course
University of Maryland, College Park
Course
O.P. Jindal Global University
Course
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