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Marketing Analytics: Excel, SQL, Python & Tableau
Rating: 4.3 out of 5(250 ratings)
16,628 students

Marketing Analytics: Excel, SQL, Python & Tableau

Learn marketing analytics, data analysis, and visualization using Excel, SQL, Python & Tableau to drive smarter decision
Last updated 4/2026
English

What you'll learn

  • Data Analysis
  • Data Collection and Acquisition
  • Data Cleaning and Preparation
  • Statistical Analysis
  • Types of Marketing Data
  • Data Analysis Frameworks in Marketing
  • Predictive Analytics A Marketer’s Perspective
  • Designing Effective AB Tests

Course content

7 sections85 lectures6h 55m total length
  • Presentation0:27
  • Welcome to MTF1:15

Requirements

  • For a better learning experience, we suggest you to use a laptop / mobile phone / pen and paper for taking notes, highlighting important points, and making summaries to reinforce your learning.

Description

Turn Marketing Data into Real Business Decisions

Marketing today is driven by data — but most professionals struggle to turn data into clear, actionable insights.

This course gives you a complete, practical foundation in marketing analytics and data analysis, combining:

  • core data skills

  • hands-on tools

  • marketing-specific applications

You will learn not just how to analyse data, but how to use it to improve marketing performance and make better decisions.

What Makes This Course Different

This is not just a technical data course.

You will learn:

  • how data connects to marketing strategy

  • how to analyse campaigns and customer behaviour

  • how to translate data into business actions

The focus is on:
from data → to insight → to decision

What You Will Learn

Data Analysis Foundations

  • Data collection, cleaning, and preparation

  • Exploratory data analysis (EDA)

  • Statistical analysis and data visualisation

Tools Used in Real Work Environments

  • Excel for analysis and reporting

  • SQL for data extraction and manipulation

  • Python and R for advanced analysis

  • Tableau for data visualisation

Marketing Analytics & Applications

  • Customer segmentation and targeting

  • Campaign performance analysis

  • A/B testing and experimentation

  • Marketing metrics and KPIs

Predictive Analytics & Forecasting

  • Identify trends and patterns

  • Forecast performance

  • Apply predictive models to marketing data

Data-Driven Decision Making

  • Understand descriptive, diagnostic, predictive, and prescriptive analytics

  • Turn insights into actions

  • Build a data-driven mindset

Who This Course Is For

  • Marketing professionals who want to use data effectively

  • Data analysts interested in marketing applications

  • Beginners who want to learn marketing analytics from scratch

  • Professionals transitioning into analytics roles

Why This Course Matters

Companies are not looking for people who just run campaigns.

They need professionals who:

  • understand data

  • analyse performance

  • make better decisions

This course helps you build those capabilities.

Important Note

This course is designed as a practical, end-to-end introduction to marketing analytics.

It helps you:

  • understand key tools and concepts

  • apply analytics to real marketing problems

  • build a strong foundation for advanced roles

Enrol Now

Start building the skills to analyse data, improve marketing performance, and make smarter decisions.


Course Author

Dr. Alex Amoroso, PhD
Lead UX & Product Researcher | Head of School (MTF)

Dr. Alex Amoroso is a Senior UX and Product Researcher with over 10 years of experience helping organisations turn research and data into better product decisions.

Her work sits at the intersection of research, product strategy, and decision-making. She has conducted large-scale studies with over 6,000 users across B2B and B2C environments, producing 30+ research reports that have directly informed product direction, user experience design, and innovation initiatives.

She has worked with organisations across Europe on data-driven products, analytics platforms, and IoT systems—partnering with cross-functional teams to translate complex insights into clear, actionable decisions.

Alongside her industry work, Dr. Amoroso teaches Advanced Research Design and Methodologies to doctoral students and serves as Head of the School of Business and Management at the Institute of Management, Technology and Finance.

She holds a PhD in Health Anthropology, with research focused on human behaviour, environmental stress, and quantitative data analysis. Her academic work has been published in multiple peer-reviewed journals.

In her courses, she combines:

  • Academic rigour

  • Real-world product case studies

  • Practical frameworks you can apply immediately

Her focus is simple:
help professionals move from insights → decisions → impact.


Course provided by MTF Institute of Management, Technology and Finance

MTF Institute is a global educational and research institute headquartered in Lisbon, Portugal. We offer hybrid business and professional education in the areas of Business and Management, Science and Technology, and Banking and Finance.

MTF Institute R&D Center conducts research in Artificial Intelligence, Machine Learning, Data Science, Big Data, Web3, Blockchain, Cryptocurrency and Digital Assets, Digital Transformation, Fin-tech, E-commerce, and the Internet of Things.

MTF Institute is an official partner of Deloitte, IBM, Intel, and Microsoft, and is a member of the Portuguese Chamber of Commerce and Industry and the Union of Trade and Services Associations of Lisbon.

MTF Institute has a global presence across 216 countries and territories and has been chosen by more than 1 mln. students.


Exclusive: The Career Accelerator Edition

Why is this course unique?

By enrolling in this special edition, you unlock three strategic career advantages:


1. Dual Certification & Direct Verification Go beyond the standard. Upon completion, you will receive not only the Udemy certificate but also the Official MTF Institute Certificate and Student ID.

· Direct Validation: You will gain access to our automated system to issue your credentials instantly directly from the Institute.

· Credibility: This independent verification adds a layer of professional authority to your CV, recognized by our global partners.


2. Portfolio Building & LinkedIn Visibility In job market, visibility is everything. We don't just teach you skills; we help you showcase them.

· Show, Don't Just Tell: We encourage you to post your course projects and case studies directly to your professional profiles.

· Career Boost: Follow our guidelines to add your new certification to your LinkedIn profile correctly. This simple step significantly improves your visibility to recruiters and demonstrates your commitment to continuous professional development.


3. Access to a Global Professional Community Education is more powerful when shared. You are not learning alone.

· Network: Join thousands of professionals worldwide who trust MTF Institute.

· Stay Informed: Gain the opportunity to subscribe to our industry insights and newsletters, keeping you ahead of trends in management and technology.

Start your transformation from a student to a recognized professional today.

Who this course is for:

  • No special requirements. A course for anyone who wants to build career in business and Data Analysis
  • Data analysis is the process of collecting, cleaning, and organizing data to uncover patterns, insights, and trends that can help individuals and organizations make informed decisions. It involves examining raw data to find answers to specific questions, identify potential problems, or discover opportunities for improvement.   Data analysts transform raw data into actionable insights to help organisations improve operations, strategies, and customer experiences. Core skills include statistical analysis, critical thinking, data visualisation, and proficiency in tools like Excel, SQL, Python, and Tableau. Learning data analysis skills is crucial for career building in today's data-driven world, both for professional positions and managers of all levels.
  • Marketing Data Analysis: Focus: Analyzing data specifically related to marketing efforts. This includes data from campaigns, customer interactions, website traffic, social media, and more. Goal: To understand the effectiveness of marketing strategies, identify trends, and gain insights into customer behavior to optimize campaigns and improve ROI.
  • Data Analytics: Focus: A broader field that involves collecting, organizing, and analyzing data from various sources to extract meaningful insights and make informed decisions. Goal: To identify patterns, trends, and correlations in data to solve business problems, improve processes, and gain a competitive advantage.
  • Importance for Companies: Enhanced Customer Understanding: Data analytics provides deep insights into customer behavior, preferences, and needs, allowing companies to personalize marketing efforts and build stronger customer relationships. Improved Campaign Effectiveness: By analyzing campaign data, companies can identify what's working and what's not, optimize campaigns in real-time, and maximize ROI. Data-Driven Decision Making: Data analytics empowers companies to make informed decisions based on evidence rather than intuition, leading to better outcomes. Competitive Advantage: Companies that effectively leverage data analytics gain a competitive edge by understanding their market better, identifying new opportunities, and adapting quickly to changing conditions.
  • Importance for Career Building: High Demand: Data analytics skills are in high demand across industries, including marketing. Developing these skills can open up a wide range of career opportunities. Valuable Skills: Data analysis and interpretation are crucial skills for marketing professionals. They enable you to demonstrate the impact of your work, make data-driven recommendations, and contribute to strategic decision-making. Career Advancement: Proficiency in data analytics can accelerate career progression and lead to leadership roles. Increased Earning Potential: Professionals with data analytics skills often command higher salaries due to the value they bring to organizations.