Data Analyst: Professional Certificate in Data Analysis

Descripción

If you want to become a Data Analyst — this course gives you everything you need to go from beginner to job-ready. Most courses teach tools separately. This course teaches you how to use data to solve real business problems — exactly what employers expect. Why this course stands out Complete Data Analyst pathway (22+ hours) From data collection → analysis → visualisation → decision-making All key tools in one place Excel, SQL, Python, R, Tableau + AI-powered workflows Real-world applications across industries Marketing, finance, operations, customer analytics Hands-on projects & exercises Build practical experience — not just theory Career-focused approach Portfolio building, job guidance, and real-world positioning Future-ready skills (2026 and beyond) Understand how AI is transforming data roles — and how to stay relevant What you’ll actually be able to do • Turn raw data into actionable insights • Clean and prepare messy datasets • Analyse data using statistical and analytical techniques • Build dashboards and visualisations that drive decisions • Write SQL queries to extract and analyse data • Use Python for real-world data analysis • Apply data analysis to business problems • Communicate insights clearly to stakeholders • Make confident, data-driven decisions Designed for real-world impact This course goes beyond technical skills. You’ll also learn: • How businesses actually use data • How to structure problems and think analytically • How to present insights in a way decision-makers understand • How to position yourself for data roles Career Accelerator Edition When you enrol, you unlock additional advantages: Dual Certification Udemy Certificate + Official MTF Institute Certificate Portfolio & LinkedIn Guidance Learn how to showcase your work and increase visibility to recruiters Global Professional Network Join a community of 700,000+ learners worldwide About MTF Institute MTF Institute is a global educational and research organisation headquartered in Lisbon, Portugal. • Present in 200+ countries • Trusted by 700,000+ students • Official partner of IBM, Intel, Microsoft • Member of the Portuguese Chamber of Commerce and Industry Course Authors This course is designed and delivered by experienced academics and industry professionals, combining: • Research excellence • Real-world business experience • Practical, applicable knowledge Your outcome By the end of this course, you will not just understand data analysis — you will be able to apply it confidently in real-world scenarios and position yourself for data roles. Start your transformation into a Data Analyst today. 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 216 countries and has been chosen by more than 712 000 students. Course Authors: 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. Dr. Pedro Nunes has built a multifaceted career combining academia and practical business expertise. His educational journey culminated with a Doctorate in Economic Analysis and Business Strategy with a cum laude mention from the University of Santiago de Compostela. Professionally, he has navigated through various sectors, including technology, international commerce, and consultancy, with roles ranging from business analyst to director. Currently, Pedro serves as a Professor in several DBA programs, applying his extensive industry experience and academic insights to educate the next generation of professionals.

Lo que aprenderás

• Master the end-to-end data analysis process
• Clean, prepare, and structure real-world data
• Perform exploratory and statistical analysis
• Use Excel, SQL, Python, R, and Tableau effectively
• Build dashboards and visualisations that drive business decisions
• Apply analytics in marketing, finance, operations, and customer insights
• Understand predictive analytics and forecasting basics
• Make data-driven decisions with confidence
• Communicate insights using data storytelling techniques
• Build a job-ready portfolio
• Understand how AI is reshaping data careers (2026+)

Requisitos

• 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.