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⇱ Marketing Analytics: Data Predictions and Dashboards | Coursera


Marketing Analytics: Data Predictions and Dashboards

Marketing Analytics: Data Predictions and Dashboards

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Gain insight into a topic and learn the fundamentals.
3.8

13 reviews

Beginner level

Recommended experience

2 hours to complete
Flexible schedule
Learn at your own pace

Gain insight into a topic and learn the fundamentals.
3.8

13 reviews

Beginner level

Recommended experience

2 hours to complete
Flexible schedule
Learn at your own pace

What you'll learn

  • Identify the key components and sources of marketing analytics.

  • Describe the process of creating predictive analytics and models for marketing.

  • Analyze marketing data to extract actionable insights.

  • Create effective marketing dashboards.

Details to know

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Assessments

4 assignments

Taught in English

Build your subject-matter expertise

This course is part of the Marketing Analysis and KPIs Specialization
When you enroll in this course, you'll also be enrolled in this Specialization.
  • Learn new concepts from industry experts
  • Gain a foundational understanding of a subject or tool
  • Develop job-relevant skills with hands-on projects
  • Earn a shareable career certificate

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

11 videosβ€’Total 43 minutes
  • Introduction to the Course & Meet Your Instructorβ€’2 minutes
  • Introduction to Marketing Analytics β€’4 minutes
  • Data Acquisition and Analytics Servicesβ€’4 minutes
  • Key Performance Indicators β€’4 minutes
  • Introduction to Predictive Analytics and Models β€’5 minutes
  • Applying Web, Social Media, Digital Marketing Analytics β€’4 minutes
  • Applying Customer Analytics β€’5 minutes
  • Visualizing Marketing Data β€’4 minutes
  • Building Interactive Dashboards β€’4 minutes
  • Data Presentation β€’5 minutes
  • Congratulations and Continuous Learning Journey β€’2 minutes
4 readingsβ€’Total 20 minutes
  • Welcome to the Course: Overviewβ€’5 minutes
  • Marketing Analytics 101β€’5 minutes
  • Top 5 Predictive Analytics Models and Algorithmsβ€’5 minutes
  • Storytelling Through Data Visualization In Your Marketing Effortsβ€’5 minutes
4 assignmentsβ€’Total 50 minutes
  • Knowledge Check 1β€’10 minutes
  • Knowledge Check 2β€’10 minutes
  • Knowledge Check 3β€’10 minutes
  • Master Marketing Analytics: Data, Predictions & Dashboardsβ€’20 minutes

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Add this credential to your LinkedIn profile, resume, or CV. Share it on social media and in your performance review.

Instructors

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6 Coursesβ€’7,271 learners

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Frequently asked questions

To access the course materials, assignments and to earn a Certificate, you will need to purchase the Certificate experience when you enroll in a course. You can try a Free Trial instead, or apply for Financial Aid. The course may offer 'Full Course, No Certificate' instead. This option lets you see all course materials, submit required assessments, and get a final grade. This also means that you will not be able to purchase a Certificate experience.

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.

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.

Financial aid available,