Marketing Data Analytics



Data Analytics for Marketing course offers you the necessary tools and knowledgebase needed to stay ahead of the competition in digital marketing.


Marketing Data Analytics Course Overview:

Ready to take your marketing expertise to the next level and make informed decisions? You’ve come to the right place! Our comprehensive Data Analytics for Marketing course offers you the necessary tools and knowledgebase needed to stay ahead of the competition in digital marketing. Get ready, because this program is fast-paced and super informative.

Through this course, you will develop the skills needed to gather and evaluate data for marketing decisions and strategies. You’ll also receive practical instruction on how to use cutting-edge tools such as Google Analytics, Microsoft Excel, and Tableau; these powerful programs can uncover valuable information about your target market in order to measure campaign success .

By the end of this course, you will have acquired a profound comprehension of data visualization and narration so that you can accurately portray your findings and advice to your team members and stakeholders.

By the end of this course, you will be able to:

  • Collect, organize, and analyze data from multiple sources
  • Utilize Google Analytics to track website performance and audience behavior
  • Use Microsoft Excel to perform advanced data analysis and modeling
  • Create interactive dashboards and visualizations using Tableau
  • Make informed decisions based on data-driven insights
  • Communicate your findings and recommendations in a clear and compelling way.

Our course is ideal for marketers of any proficiency, whether you are just starting out or have been in the game a while. You will receive practical hands-on instruction that empowers you to apply your newfound knowledge instantly! Keep one step ahead with this ever-evolving digital marketing landscape and our comprehensive curriculum that has something to offer everyone.

Data Analytics for Marketing Curriculum:

This curriculum is subject to change based on the latest industry developments and best practices. Our instructors are experts in the field and will provide you with the most up-to-date and relevant information.

Module 1: Introduction to Data Analytics for Marketing

This module will provide an overview of the importance of data in marketing, and introduce the tools and techniques used in data analytics. Students will learn how to select appropriate sources of data and understand the fundamentals of data analysis, including concepts such as basic statistics, distributions and data structures. Additionally, students will gain an understanding of the different types of analytics platforms available, such as Google Analytics, Microsoft Excel and Tableau.

Module 2: Collecting and Organizing Data

Students will explore various methods for collecting and organizing data from multiple sources, with a focus on industry standards such as Google Analytics, Microsoft Excel, and Tableau. The module will cover topics including how to clean and prepare large datasets for further analysis, examine correlations between variables and trends over time, implement advanced search functions for queries within large datasets. Additionally, students will become familiar with other web-based tools that can help them collect additional insights about their target audience’s behaviour.

Module 3: Data Analysis and Modeling

In this module, students will focus on developing a comprehensive understanding of data analysis principles essential to driving successful marketing strategies. Key topics in this module include using descriptive statistics to understand distributions of different variables; segmentation methods to identify customer groups; regression models to analyze relationships between variables; hypothesis testing to validate assumptions; machine learning algorithms to automate predictive analytics; time-series forecasting using ARIMA models; optimization techniques such as A/B testing; and more.

Module 4: Data Visualization & Storytelling

Data visualization enables marketers to effectively communicate findings from their analyses by presenting it in a clear format that is easy for stakeholders or team members to interpret. Students in this module will learn about effective storytelling techniques for showcasing the results of their analysis through visualizations created using programs such as Tableau or Power BI. They will also be introduced to best practices for selecting appropriate charts for different types of data sets or scenarios.

Module 5: Google Analytics

In this module students will gain hands on experience with setting up goals & events on Google Analytics platform so they are able track user behavior on their website/app/campaigns etc., understand overall performance metrics & demographics associated with their audience (consumers/customers). With this knowledge they can track progress & enhance their campaigns accordingly leading better returns on investment decisions & improved ROI’s based upon different target audiences etc..

Module 6: Tableau

This module focuses specifically on Tableau – an analytics dashboard tool used by many companies today – which allows users to create interactive dashboards as well as design visualizations tailored specifically towards marketing objectives or business needs. Students in this course will be guided through building dynamic visuals step-by-step while getting practice at uncovering actionable insights through exploring various scenarios related to real world applications in business & marketing domains. Furthermore they’ll get chance practice working with big data sets & advanced visualization techniques like geospatial mapping etc..

Module 7: Real World Applications

The final unit covers practical applications that are relevant to marketing teams today – demonstrating how each skill learned during the program contributes towards making informed decisions that drive better results from campaigns or projects being undertaken by marketeers . Through case studies & real world examples there is opportunity for deeper exploration into what is possible when employing industry standard approaches like A/B testing , optimization , utilizing multi channel attribution models etc.. Then finally there is opportunity take all these skills into practice wth your own projects culminating into successful outcomes based upon accurate predictions made through predictive modelling frameworks etc…

Module 8: Final Review

The final module of this program consists of a comprehensive assessment – designed to assess students’ proficiency with the topics covered. This will include both theoretical questions as well as practical exercises or case studies. Upon completion of this review, students will receive feedback on their performance along with recommended resources for further learning or exploration if necessary. After successful completion of this module, participants will be officially certified in Data Analytics for Marketers.

Learning Objectives:

– Develop an understanding of the foundational principles of data analytics

– Learn methods for analyzing customer behaviour and segmenting audiences

– Utilize predictive modelling techniques to identify trends in customer behaviour

– Become proficient with dashboard design using Google Analytics & Tableau

– Apply best practices for data visualizations & storytelling

– Implement optimization techniques such as A/B testing to drive better results from campaigns

– Gain experience working with real world projects & scenarios

Expected Outcomes:

By the end of this program, students will have gained the necessary skills set required for them to apply their knowledge successfully in various marketing roles. They should be able to confidently work on building comprehensive models that leverage key insights into customer behaviour as well as data visualizations that effectively communicate the results of their analysis to stakeholders. Furthermore they should be able to make informed decisions by interpreting data, producing actionable insights & optimizing campaigns/projects based upon predictive modelling frameworks.

Enroll now and start your journey to becoming a data-driven marketer!