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The Marketing Data Analysis Specialist course from Skillfloor provides an extensive syllabus that has been carefully created to provide learners with the knowledge and skills needed to succeed in the ever-changing field of marketing data analysis. Working in an immersive educational experience, participants explore advanced data analysis methods specifically designed for marketing purposes. Learners refine their abilities in data interpretation, visualization, and strategic decision-making through practical exercises and real-world case studies, enabling them to confidently take on challenging tasks in the field of marketing analytics. This course stands itself among data analysis courses by offering a specific focus on marketing data analysis, giving participants a highly sought-after skill set necessary for success in today's competitive job market. In a world where data-driven decision-making is crucial.

To efficiently utilize insights based on data, participants in the "Marketing Data Analysis Specialist" course engage in immersive learning experiences that place a strong emphasis on practical application and real-world scenarios. Learners have invaluable expertise in implementing advanced data analysis techniques to optimize marketing plans and produce measurable outcomes through practical exercises and industry-relevant case studies. This course offers a customized route to success, no matter your experience level or goal—whether you're a novice trying to build a strong foundation or an experienced professional hoping to specialize in marketing data analysis. Giving people the skills and information they need to handle the ever-changing world of data-driven marketing, students to succeed in the highly competitive digital age.




Skill Level



1-month Unpaid

Live Project




Live Training


Career Assistance


Expiry Period

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Course Highlights

  • Introduction to Marketing Data Analysis: Learners begin with the fundamentals, gaining an understanding of what marketing data analysis entails and why it's crucial in today's business landscape.

  • Data Collection Techniques: This section covers the various methods of gathering data, including both quantitative and qualitative approaches, and emphasizes the importance of ethical practices in data collection.

  • Understanding Data Quality: Participants learn to assess and improve the quality of their data, ensuring that their analysis is based on accurate and reliable information.

  • Tools and Software for Analysis: The course introduces a range of analytical tools and software, providing hands-on experience in their use for effective marketing analysis.

  • Data Visualization Techniques: Here, learners discover how to present data in a visually appealing and understandable way, making it easier for stakeholders to digest and make informed decisions.

  • Statistical Methods for Marketing: This module delves into the statistical techniques essential for analyzing market data, including regression analysis, hypothesis testing, and more.

  • Customer Behavior Analysis: Participants explore how to analyze and interpret customer behaviour data to understand preferences, patterns, and trends.

  • Campaign Performance Analysis: The course covers the evaluation of marketing campaigns, teaching how to measure effectiveness, ROI, and impact on sales and brand awareness.

  • Predictive Analytics in Marketing: Learners are introduced to predictive analytics, learning how to use historical data to make informed predictions about future trends and customer behaviour.

  • Capstone Project: The course concludes with a comprehensive project that allows participants to apply what they've learned in a practical setting, analyzing real-world data and presenting their findings.


Top 10 reasons

  1. Career Growth: Propel your career in marketing by becoming a specialist in data analysis, equipped with skills to derive actionable insights from marketing data and drive strategic decisions.

  2. Industry Demand: Meet the increasing demand for professionals who can analyze marketing data to optimize campaigns, improve ROI, and enhance overall marketing effectiveness.

  3. Strategic Insights: Gain expertise in analyzing marketing data to identify trends, patterns, and opportunities, empowering you to make informed decisions and drive business growth.

  4. Data Visualization: Learn to effectively visualize marketing data using tools like Tableau or Power BI, making complex data more accessible and actionable for stakeholders.

  5. Performance Tracking: Develop skills in tracking and analyzing key performance indicators (KPIs) to measure the effectiveness of marketing campaigns and identify areas for improvement.

  6. Customer Segmentation: Learn how to divide up your customer base into groups according to their characteristics, behaviours, and psychographics to facilitate more specialized and individualised marketing campaigns.

  7. Campaign Optimisation: Make real-time adjustments to strategy and tactics to maximise return on investment and accomplish corporate goals by using data analysis tools to optimise marketing campaigns.

  8. Decision-making: Discover how predictive modelling may be used to predict future trends and results, facilitating proactive decision-making and strategic planning in the marketing domain.

  9. Learning:  how to measure the impact of marketing efforts and investments on business performance by calculating return on investment (ROI).

  10. Data Analysis: Ongoing Professional Development and Attendance at Industry Conferences and Workshops Keep up with Changing Trends and Technologies in Marketing Data Analysis.


  •  Understanding the role of data analysis in marketing

  •  Overview of key concepts and terminology

  •  Importance of data-driven decision-making in modern marketing

  •  Methods for collecting marketing data

  •  Data organization and storage techniques

  •  Data cleaning and preprocessing

  •  Introduction to data management tools and software

  •  Principles of effective data visualization

  •  Tools for creating visualizations (e.g., Tableau, Power BI)

  •  Designing dashboards for marketing analytics

  •  Interpreting and communicating insights from visualizations

  •  Techniques for exploring and understanding marketing data

  •  Descriptive statistics and measures of central tendency

  •  Data distribution analysis and visualization

  •  Identifying patterns and trends in marketing data

  •  Fundamentals of hypothesis testing

  •  Types of statistical tests used in marketing analysis

  •  Interpreting p-values and confidence intervals

  •  Applications of hypothesis testing in marketing experiments

  •  Introduction to Regression Analysis

  •  Simple and multiple linear regression

  •  Model evaluation and interpretation

  •  Predictive modeling techniques in marketing

  •  Importance of customer segmentation in marketing

  •  Methods for segmenting customers (e.g., demographic, behavioral)

  •  Creating customer profiles and personas

  •  Personalization strategies based on segmentation

  •  Understanding the customer journey

  •  Types of attribution models (e.g., first-touch, last-touch, linear)

  •  Implementing and evaluating attribution models

  •  Optimizing marketing campaigns using attribution data

  •  Analyzing social media metrics and KPIs

  •  Sentiment analysis and social listening techniques

  •  Leveraging social media data for marketing insights

  •  Strategies for measuring social media ROI

  •  Introduction to predictive modeling

  •  Techniques for predictive analytics (e.g., decision trees, neural networks)

  •  Applications of predictive analytics in customer behavior prediction

  •  Ethical considerations in predictive marketing


  •  Principles of A/B testing

  •  Designing and conducting marketing experiments

  •  Analyzing and interpreting A/B test results

  •  Iterative optimization based on experimentation


  •  Ethical considerations in marketing data analysis

  •  Legal and regulatory frameworks (e.g., GDPR, CCPA)

  •  Protecting customer privacy and data security

  •  Responsible use of data in marketing practices


A Marketing Data Analysis Specialist Course is a comprehensive program designed to equip individuals with the skills and knowledge necessary to excel in the field of marketing analytics.

No prior experience is required to enrol in this course. Our curriculum is designed to accommodate learners of all levels, from beginners to seasoned professionals. Our instructors will guide you through each concept step-by-step, ensuring that you develop a solid foundation in both marketing principles and data analysis techniques.

Upon completing this course, you'll be well-positioned to pursue various career opportunities in the fields of marketing, data analysis, and business intelligence. You could work as a marketing analyst, data scientist, market researcher, or marketing strategist for companies across industries.

A marketing data analysis specialist is responsible for collecting, organizing, and analyzing data to identify patterns, trends, and correlations that can inform marketing strategies.

Marketing data analysis is about looking at numbers and information from marketing activities to understand what's working and what's not. By studying things like sales, customer info, and online engagement, marketers can figure out patterns and trends to improve their strategies and make better decisions.

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