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There is 1 module in this course
This course offers skills and a toolkit for transforming complex data into strategic marketing insights. It covers the essentials of marketing analytics, including data collection and analysis to identify patterns, and teaches predictive modeling for forecasting market trends and customer behavior. Furthermore, you'll gain skills in crafting visual dashboards to present your findings compellingly. With an emphasis on practical application through real-world examples, this course will be useful for marketing specialists, data analysts, and everybody who is thrilled to learn marketing analytics from the beginning.
This course caters to a diverse audience including Marketing Analysts, Business Intelligence Professionals, Digital Marketing Managers, Social Media Managers, Data Scientists with a focus on Marketing, Brand Managers, Advertising Managers, and Business Directors. Professionals in these roles are poised to enhance their skill set by delving into marketing analytics, predictive modeling, and data-driven decision-making, crucial for driving business success in today's competitive landscape.
Participants are expected to have a beginner level understanding of marketing analytics, predictive analytics, and modeling. They should possess a grasp of digital marketing concepts, marketing principles, and basic data analytics principles. Additionally, experience with data visualization tools is desired, as proficiency in these tools will facilitate the comprehension and application of course concepts.
Upon completing this course, learners will be equipped to identify the key components and sources of marketing analytics, allowing them to understand the underlying framework of marketing data analysis. They will be able to describe the process of creating predictive analytics and models for marketing, providing them with the capability to explain complex data-driven insights to stakeholders. Furthermore, participants will develop the ability to analyze marketing data to extract actionable insights and create effective marketing dashboards, empowering them to drive informed decision-making and optimize marketing strategies.
shorten the paragraph.
This course offers skills and a toolkit for transforming complex data into strategic marketing insights. It covers the essentials of marketing analytics, including data collection and analysis to identify patterns, and teaches predictive modeling for forecasting market trends and customer behavior. Furthermore, you'll gain skills in crafting visual dashboards to present your findings compellingly.
What's included
11 videos4 readings4 assignments
Show info about module content
11 videos•Total 43 minutes
Introduction to the Course & Meet Your Instructor•2 minutes
Introduction to Marketing Analytics •4 minutes
Data Acquisition and Analytics Services•4 minutes
Key Performance Indicators •4 minutes
Introduction to Predictive Analytics and Models •5 minutes
Applying Web, Social Media, Digital Marketing Analytics •4 minutes
Applying Customer Analytics •5 minutes
Visualizing Marketing Data •4 minutes
Building Interactive Dashboards •4 minutes
Data Presentation •5 minutes
Congratulations and Continuous Learning Journey •2 minutes
4 readings•Total 20 minutes
Welcome to the Course: Overview•5 minutes
Marketing Analytics 101•5 minutes
Top 5 Predictive Analytics Models and Algorithms•5 minutes
Storytelling Through Data Visualization In Your Marketing Efforts•5 minutes
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What will I get if I subscribe to this Specialization?
When you enroll in the course, you get access to all of the courses in the Specialization, and you earn a certificate when you complete the work. Your electronic Certificate will be added to your Accomplishments page - from there, you can print your Certificate or add it to your LinkedIn profile.
Is financial aid available?
Yes. In select learning programs, you can apply for financial aid or a scholarship if you can’t afford the enrollment fee. If fin aid or scholarship is available for your learning program selection, you’ll find a link to apply on the description page.