Expert Certificate: Marketing Data Analysis & Data Analytics | Udemy Coupons 2025

Welcome to Program: Expert Certificate: Marketing Data Analysis & Data Analytics by MTF Institute

Course provided by MTF Institute of Management, Technology and Finance

MTF is the global educational and research institute with HQ at Lisbon, Portugal, focused on business & professional hybrid (on-campus and online) education at areas: Business & Administration, Science & Technology, Banking & Finance.

MTF R&D center focused on research activities at areas: Artificial Intelligence, Machine Learning, Data Science, Big Data, WEB3, Blockchain, Cryptocurrency & Digital Assets, Metaverses, Digital Transformation, Fintech, Electronic Commerce, Internet of Things.

MTF is the official partner of: IBM, Intel, Microsoft, member of the Portuguese Chamber of Commerce and Industry.

MTF is present in 215 countries and has been chosen by more than 701 000 students.

Course Author:

Dr. Alex Amoroso is a seasoned professional with a rich background in academia and industry, specializing in research methodologies, strategy formulation, and product development. With a Doctorate Degree from the School of Social Sciences and Politics in Lisbon, Portugal, where she was awarded distinction and honour for her exemplary research, Alex Amoroso brings a wealth of knowledge and expertise to the table.

In addition to her doctoral studies, Ms. Amoroso has served as an invited teacher, delivering courses on to wide range of students from undergraduate level to business students of professional and executives courses. Currently, at EIMT in Zurich, Switzerland, she lectures for doctoral students, offering advanced instruction in research design and methodologies, and in MTF Institute Ms. Amoroso is leading Product Development academical domain.

In synergy between academical and business experience, Ms. Amoroso achieved high results in business career, leading R&D activities, product development, strategic development, market analysis activities in wide range of companies. She implemented the best market practices in industries from Banking and Finance, to PropTech, Consulting and Research, and Innovative Startups.

Alex Amoroso’s extensive scientific production includes numerous published articles in reputable journals, as well as oral presentations and posters at international conferences. Her research findings have been presented at esteemed institutions such as the School of Political and Social Sciences and the Stressed Out Conference at UCL, among others.

With a passion for interdisciplinary collaboration and a commitment to driving positive change, Alex Amoroso is dedicated to empowering learners and professionals for usage of cutting edge methodologies for achieving of excellence in global business world.

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 and Data Analytics are closely related, but with a specific focus. Here’s a breakdown:

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.

Marketing Data Analysis and Data Analytics are essential for both companies and individuals in today’s data-driven world. Companies that leverage these skills gain a competitive advantage, while individuals who develop these skills enhance their career prospects and earning potential.