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Anton Voroniuk

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.

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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.

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Syllabus

Master Marketing Analytics: Data, Predictions & Dashboards
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.

Good to know

Know what's good
, what to watch for
, and possible dealbreakers
Particularly valuable for marketing specialists, data analysts, and anyone interested in learning marketing analytics from scratch
Well-suited for roles including Marketing Analysts, Business Intelligence Professionals, Digital Marketing Managers, and Data Scientists
Assumes a beginner's level of understanding in marketing analytics, predictive analytics, and modeling
May require some familiarity with digital marketing concepts and basic data analytics principles
Assumes some prior experience with data visualization tools

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Activities

Be better prepared before your course. Deepen your understanding during and after it. Supplement your coursework and achieve mastery of the topics covered in Marketing Analytics: Data Predictions and Dashboards with these activities:
Review probability and statistics concepts
Refresh your knowledge of probability and statistics to strengthen your foundation.
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  • Review basic probability concepts (e.g., probability distributions, Bayes' theorem)
  • Go over statistical concepts (e.g., hypothesis testing, regression analysis)
Follow tutorials on data analysis tools
Enhance your understanding of data analysis tools by following guided tutorials.
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  • Identify popular data analysis tools (e.g., Python, R)
  • Find tutorials on these tools and follow them step-by-step
  • Practice using the tools through exercises and examples
Solve data analysis practice problems
Strengthen your data analysis skills by solving practice problems.
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  • Find practice problems online or in textbooks
  • Attempt to solve the problems on your own
  • Check your solutions against provided answers or consult with a tutor
Three other activities
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Write a blog post or article on marketing analytics
Reinforce your understanding by creating content on marketing analytics.
Browse courses on Marketing Analytics
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  • Choose a specific topic related to marketing analytics
  • Research and gather information on the topic
  • Write and edit the blog post or article
  • Publish and promote your content
Develop a marketing analytics dashboard
Apply your knowledge by creating a marketing analytics dashboard.
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  • Gather relevant data and metrics
  • Choose appropriate visualization techniques
  • Design and develop the dashboard
  • Test and refine the dashboard
Contribute to open-source projects in marketing analytics
Gain practical experience and contribute to the community by working on open-source projects.
Show steps
  • Identify open-source projects related to marketing analytics
  • Review the project documentation and codebase
  • Make contributions (e.g., bug fixes, feature enhancements)

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