Top 6 Data Analytics Courses in Lisbon With Placements

Lisbon is the Largest City and Capital of Portugal. It is a hilly city surrounded by rich architecture. The Lisbon region is a rapidly growing city. In this growing capital city, data analytics courses are bright, driven by the growing demand for data professionals, technological advancements, and the increasing importance of data-driven decision-making across industries. As the field continues to evolve, data analytics courses in Lisbon will adapt to equip students with the skills and knowledge needed to thrive in this dynamic and ever-expanding field.


List of best data analytics courses in Lisbon


What is Data Analytics?

Data Analytics is a scientific process to analyze raw data to get conclusive results from the data. In Data Analytics we examine, clean, transform, and identify data for meaningful insight. It involves many tools and techniques to analyze the data for making informed decisions, solving problems, and gaining a better understanding of the subject data or topic.

Data Analytics help business to optimize their performance, to perform more efficiently, to make maximum profit, and to make informed data-based decisions. There are main four types of data analytics:


  1. Descriptive Data Analytics: In Descriptive analytics, we focus on summarizing and presenting data in a meaningful and understandable way. Its primary purpose is to provide insight into historical data. In this type of analytics, we study what happened in the past or in history.
  2. Diagnostic Data Analytics: In Diagnostic data analytics, we focus on the reason why something happened in the past or it seeks to identify the main reason for the specific trends, issues, and events with the help of data analysis. This helps an organization to get deeper knowledge regarding why something has happened and the main reason for the occurring event.
  3. Predictive Data Analytics: In Predictive Data Analytics, we focus on the analysis of past data for predicting future events or outcomes. In this type of analysis, organizations are using historical data, statistical algorithms, and machine learning technologies to predict or forecast future events. The aim of predictive data analytics is to answer questions like what is going to happen in the future.
  4. Prescriptive Data Analytics: In Prescriptive Data Analytics, we focus on analyzing the data to prescribe the actions to get specific results. In this type of analysis, organizations analyze the data and recommend specific actions to get a particular type of result. The aim of prescriptive data analytics is to answer questions like what should we do to get specific results.


The data analytics boom has not only created a surge in job opportunities for data professionals but has also changed the way businesses and organizations operate. As data continues to grow in volume and complexity, the data analytics boom is likely to persist, driving further innovation and transformative changes across industries. You can enroll in data analytics courses in Lisbon and aim to be a part of this highly boom industry.


Significance of Data Analytics Courses:

Data analytics courses in Lisbon hold significant importance in today’s data-driven world, and their significance extends to both individuals and organizations. Here are some key reasons why data analytics courses are highly significant:

  1. Helps in Making the Right Decision: The aim of data analytics is help organizations to make the right decision based on historical data analysis. Data Analytics helps companies to analyze big data and make decisions based on that data. It also helps organizations manipulate the existing process to receive the optimized result or outcome.
  2. Personalize the customer experience: Data Analytics helps organizations know consumer behavior based on detailed customer information. Organization analysis of consumer search history data to offer and recommend products to personalize customer experience.
  3. Identification of potential risk: Data Analytics also help organizations analyze data to identify potential risks involved in certain tasks. It also helps organizations to take preventive actions to minimize the risk while moving forward to get optimized results.
  4. Take preventive decisions: As an organization process the big data and calculate the risk involved with the outcome. Therefore, if you know the risk you can easily find out the way to overcome the risk. Data Analytics help organizations to make preventive decisions by processing data analysis.
  5. Increase work efficiency: Data Analytics assist organizations in analyzing large data quickly and presenting it in a structured way in front of the organization to achieve the goals of the company. This helps organizations to increase the efficiency of work.
  6. Developing Product based on Market Trend: Data Analytics is helpful for organizations to collect consumer feedback and review and analyze it speedily to modify existing products or to launch new products based on market trends.


In conclusion, data analytics courses in Lisbon are significant for individuals looking to advance their careers and for organizations seeking to harness the power of data for strategic decision-making.


Top 6 Institutes for Data Analytics Courses in Lisbon

In this Data-driven world, here we are introducing the top 5 institutes for learning Data Analytics Courses in Lisbon. If you like numbers and are good at mathematics and statistics then these courses will brighten your career in the data analytic world. As you know, practice makes a man perfect, therefore by opting for any of these courses and practicing their especially design data analytics courses you can start your data analytic profession by the end of the session.



IIM SKILLS is a recognized Indian online education platform that offers a range of courses focused on enhancing various skills, including, content writing, digital marketing, and data analytics in Lisbon. It aims to provide high-quality training to individuals looking to upskill or start a career in these fields for fresher, working professionals, housewives, small business owners, and freelancers.

The Master Data Analytics Course is 6 months of which, 4 months will be online training along with assignments on topics covered during classes and 2 months non-paid internship. Here is the module-wise curriculum detail of their data analytics master course:


Module1: Basic and Advanced Excel (9 Hours)

  • Introduction to Data Handling
  • Data Visualization in Excel
  • Data Analysis and Reporting
  • Data Manipulation Using Functions
  • Overview of Dashboard
  • Creating Dashboard in Excel using Pivot Control

Module 2: Visual Basic Application (15 Hours)

  • Introduction VBA
  • How VBA works with Excel
  • Key Components of Programming Language
  • Programming Construct in VBA
  • Functions & Procedures in VBA – Modularizing programs
  • Object & Memory Management in VBA
  • Communicating with user
  • Error Handling
  • Controlling Accessibility of Code
  • Code Reusability- Adding Reference and components

Module 3: SQL (39 Hours)

  • Basics RDBMS Concepts
  • Utilizing the object Explorer
  • Data-based object creation (DDL Commands)
  • Data Manipulation (DML Commands)
  • SQL Server Reporting Services
  • SQL Server Integration Services

Module 4: Power BI (24 Hours)

  • Introduction
  • Data Preparation and Modeling
  • Data Analysis Expressions
  • Keeping and Removing rows, Add Remove, and go to Columns
  • Report Development (Visuals in Power BI)

Module 5: Data Analytics Using Python (20 Hours)

  • Introduction to Basic Structure
  • Introduction to Mathematical Foundations
  • Introduction to Analytics & Data Science
  • Python Essentials
  • Operation with NumPy ( Numerical Python)
  • Overview of Pandas
  • Cleaning Data with Python
  • Data Analysis using Python
  • Data Visualization with Python
  • Basic Visualization Tools
  • Advanced Visualization Tools
  • Visualizing Geospatial Data
  • Data Analysis using Python
  • Statistical Methods & Hypothesis Testing

Module 6: Tableau (15 Hours)

  • Introduction to Tableau
  • Table Calculations
  • Data Handling & Summaries
  • Building Advanced Reports/Maps
  • Data Handling & Summaries
  • Calculated Fields

Modules 7: R for Data Science (20 Hours)

  • Data Importing and Exporting
  • Data Manipulation using sampling, operators, control structure, Loops, Arrays
  • Data Analysis
  • Using R with Database
  • Introduction to statistics
  • Data Visualization with R
  • Statistical Methods – Z/t-tests
  • Linear Regression: Solving regression problems

Modules 8: Alteryx (18 Hours)

  • Introduction of Alteryx course and fundamental concepts
  • Application of Select tool to rename fields, change the data type
  • Understand the User Environment and Alteryx Settings
  • Remove from the data set
  • Understanding Alteryx Designer
  • Connect to data sources
  • Alteryx designer Interface
  • Set data field types
  • User and Workflow settings
  • Remove and rename fields
  • Filtering Data/Data processing
  • S Blending/Join Data from Different Sources
  • Filtering Using String Data
  • Find a customer with 10 or more transactions
  • Input Data, Dynamic Rename, Text to columns, Transpose
  • Identify common data fields
  • See how all records fit the filter
  • Data Cleansing
  • Impute Values
  • Random Sample


Tools covered: Excel, Power BI, Python, SQL, Tableau, R for Data Science, ALTERYX

Contact Us: Call:  +91 9580740740 | Email:

This comprehensive course of data analytics by IIM SKILLS experts helps a student improve their analytics skills and by opting for data analytics courses in Lisbon, a student from each level either fresher, mid-level, or in a senior level position can make their career in the world of data analytics.


2. University of Porto:

The University of Porto, often referred to as U.Porto is a prominent public research university located in Porto, Portugal. Established in 1911, it is one of the country’s leading higher education institutions and is renowned for its academic excellence and research contributions. U.Porto has a strong commitment to promoting research, innovation, and internationalization, making it a respected institution in the global academic community.

The university’s campus is known for its historical and modern architectural elements, providing students with a rich academic environment. They provide many technical courses including a master’s degree in computational statistics and data analysis for students who want to excel in their career in data analytics.

This Master’s Degree program in data analytics provides students with a foundation in data analysis techniques, tools, and methodologies. It covers data collection, data cleaning, statistical analysis, data visualization, and basic machine learning concepts. Here is the roadmap for this 2 years master’s degree in computational statistics and data analysis program:


1st Semester:

  • Computational Statistics
  • Statistical Inference
  • Applied Statistics
  • Statistical Method in Data Mining


2nd Semester:

  • Statistical Learning Models
  • Data-Driven Decision Making
  • Advanced Statistical Models
  • Simulation
  • Stochastic Processes and Application


3rd Semsester:

  • Time Series and Forcasting


4th Semsester:

  • Optional Subject (visit their site to get the details of the optional subject)


Contact us: Tel.: (+351) 220 408 000 | Email:


If you are looking for Data Analytic Courses in Lisbon, then U.Porto is a renowned and reputable place to learn and enhance your skills in this highly demanding data field.


3. Ironhack Data Analytics Course:

Ironhack provides immersive boot camps in Web development, UX/UI Design, Data Analytics, and many more tech courses. They offer courses high in demand so that students after learning can enter the particular field and accomplish their goal. It provides both offline and online courses in the English language.

By enrolling in their boot camp, you can gain a solid understanding of fundamental skills like Git, Python, and MySQL. You get the opportunity to work and learn alongside your fellow iron hackers on hands-on projects that help build your portfolio and give you a better understanding of what life is like as a Data Professional. Here is the curriculum of their 26 or 9 weeks Data Analytics Bootcamp:


Online Prework: 60 Hours


Module 1: Introduction & Application of Python

  • Python Programming
  • Data Structures
  • Flow Control
  • Functions
  • Error Handling
  • Object Oriented Programming
  • Git Version Control
  • Lambda Functions and Comprehensions
  • Data Analysis using Pandas
  • Data Cleaning, Transformation, Organization and manipulation
  • Web Structure
  • APIs
  • Scraping Data from Websites
  • Conducting Basic Exploratory Data Analysis
  • Identifying Data-Driven Business Problem
  • Data Wrangling
  • Retrieval Techniques


Module 2: SQL, Data Analytics and Statistics

  • Querying Data
  • Data Analysis Technique
  • EDA
  • Database creation using SQL
  • Table, Relationship, writing SQL Queries
  • Subqueries, views, and functions
  • Connecting Database with Python
  • Dashboard Creation using Tableau


Module 3: Machine Learning and Artificial Intelligence

  • Fundamental of Machine Learning
  • ML Workflow
  • Supervised and Unsupervised Learning
  • ML Algorithms
  • Use of Scikit-Learn MLLibrary
  • Using ML to solve real-world problems
  • Introduction of Cloud Platform
  • NLP, LLMs, ChatGPT
  • AI and Time Series Analysis.


Fee Structure: 6500 € with financing option available


Their Data Analytics Bootcamps provide condensed, focused training, allowing participants to acquire data analysis skills quickly and stand out in this data-driven world.


4. Le Wagon Data Analytics Course:

Le Wagon is a highly regarded international coding boot camp that specializes in teaching web development, data science, and other tech-related skills. Founded in 2013 in Paris, France, Le Wagon has since expanded to numerous cities worldwide, offering intensive, full-time, and part-time technical programs. They have a data analysis program and here is the curriculum detail of their programs:


Prep work: 40 Hours of prep work before starting the Boot Camp

  • Understanding the concept of KPIs and discovering the basics of data analysis
  • Introduction to Google Sheets
  • Introduction to SQL
  • Introduction to Python

Module 1: Duration 40 Hours

  • Product analysis – Retention, lifetime value, cohort analyses, etc
  • Sales analysis – Funnel, Basket, Time Required to convert, etc
  • Market analysis – AARRR framework, conversion rate, etc.
  • Finance analysis – Margin, results, etc.

Module 2: Duration 40 Hours

  • Learn Big Query, Google’s Data Warehouse
  • Master SQL queries for analytics
  • Segmenting data into “Data Layers” with the DBT tool
  • Learning the different data architectures of tech companies

Module 3: Duration 64 Hours

  • Understanding the principle of APIs with the Airbyte tool
  • Learning the best automation tools: Zapier & n8n
  • Use the world leader in ELTs: Fivetran
  • Analyzing website traffic with Google Tag Manager & Google Analytics 4

Module 4: Duration 64 Hours

  • Adopt the best visualization techniques
  • Master the leading tools on the market
  • Conducting relevant analysis and interpreting the results
  • Checking the significance of your recommendations with statistics

Module 5: Duration 64 Hours

  • Discover the Jupyter Notebook format
  • Learning to predict the future with the Python sklearn and prophet libraries
  • Create clusters from your data
  • Automate the execution of your scripts with Airflow

Module 6: Duration 80 Hours

It is a final project week in which you perform an A-Z data analysis project with real data from our partners. Learning how to properly pose the problem, identify, extract, centralize, and process your data. Conduct analysis and create automated dashboards that will bring value to your project.


Career Week: Meet their tech experts working in startups and companies, prepare your CV, and do mock interviews to prepare your job search.

  • Preparation for your job search
  • Connection to our 20,000+ alumni and 985+ hiring partners


Data analytics Courses in Lisbon are a high-demand course in this technology world and le wagon is available at various locations helping students globally to improve their analytics ability to survive in this highly competitive data analytic world.


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5. Wild Code School Data Analyst Course:

Wild Code School is a leading European tech school officiating lifelong intensive learning online and offline courses. Their intensive boot camps are specially designed to meet the demands of the tech market. Wild Code School is training students for lifelong careers in web development, data & AI, Infrastructure and cyber security, and web design. They have a full-time 3-month online or on-campus data analytics course and here are the comprehensive module-wise curriculum details of their course:



  • Explore the content of #databases to identify possible uses and interpretations of the data
  • Model relational databases (#SQL) to meet user needs
  • Perform queries on relational databases to extract data
  • Perform aggregations, joins, and sub-queries on databases (SQL)
  • Automate data collection to exploit content and information gathered from web pages #web scraping
  • Automate requests to #API REST in order to share data between different applications
  • Use appropriate tools to translate postal addresses into geographical coordinates (latitude/longitude) and vice versa #Geodcoding
  • Check data collection and use methods and measure the #RGPD issues in order to estimate the risks and responsibilities of each party.


Module 2:

  • Use appropriate software (Google Colab, #Spyder, or #Jupyterlab) to write and run a script to process data
  • Use algorithms in #Python language to translate data processing requirements according to operating objectives
  • Manipulate data structures to enable them to be used in applications
  • Use object-oriented programming in Python to facilitate application maintenance
  • Perform matrix calculations with #NumPy to transform data and make it usable
  • Use DataFrames with #Pandas to make it easier to import, manipulate, and merge data
  • Reprocess outliers and missing values to avoid impacts on the operation and processing of databases
  • Use regular expressions (#RegEx) to process text values Use the principles of #clean code to organize your Python code


Module 3:

  • Master the #Machine Learning process (scikit-learn syntax, train-test-split, fit, predict, score) to enable algorithms to learn automatically from data
  • Modeling supervised regressions and interpreting the associated metrics in order to define prediction models
  • Model supervised classifications and interpret the associated metrics to define predictive models
  • Use unsupervised #clustering and its metrics to reveal similarities between homogeneous groups of data
  • Use statistical tools and methods to perform unsupervised dimension reduction in Machine Learning (PCA, scikit-learn)
  • Automatically process natural language #NLP from plain text in order to derive value based on classification (Sentiment analysis)
  • Use descriptive #statistics to model data and extract relevant information
  • Use the central limit theorem to standardize data


Module 4:

  • Prioritize and identify data and information to be made accessible and presented visually in order to structure graphical representations of #dashboards
  • Use descriptive visualizations, scatter plots, mustache boxes, and histograms to graphically represent statistical data and modeled information
  • Use interactive and dynamic #Dataviz (#Plotly or #Bokeh) to produce different types of graphical and visual representations of data for operational users
  • Produce cartography (#Folium) to represent geographical information
  • Use a spreadsheet, #Dynamic Cross Tabulations, to propose cross-referencing of variables to obtain the information required
  • Produce dashboards using Business Intelligence tools (#PowerBI or #Tableau) to integrate and cross-reference information useful for strategic approaches to issues


Wild Code School is widely regarded for its effective and immersive approach to tech education, and it has helped thousands of individuals acquire the skills needed for careers in the rapidly evolving technology industry. You can connect data analytics courses in Lisbon if you have an analytics approach toward data.


6. Expected Salary After Completing Data Analytics Courses in Lisbon:

The expected salary after completing data analytics courses in Lisbon, Portugal, can vary significantly depending on several factors, including your level of experience, the specific job role, the industry, and the demand for data analytics professionals at the time of your job search. However, here is some expected salary for data analytics jobs available:


Data Analyst: €900 per year

Data Scientist: €31,119 per year

Analytics:  £33,486 per year


Please keep in mind that these salary ranges are approximate and can vary based on various factors such as the cost of living in your region, the demand for data professionals in your area, the industry you work in, and the company you work for.


FAQs: Data Analytics Courses in Lisbon


1. Do I need a technical background to enroll in data analytics courses in Lisbon?

No, many data analytics courses are designed for individuals with varying levels of technical expertise. Some beginner courses assume no technical background.


2. How long does a typical data analytics course last?

The duration of data analytics courses can vary widely. Some introductory courses can be completed in a few weeks, while more comprehensive programs can take several months.


3. What types of jobs can I pursue after completing data analytics courses in Lisbon?

Data analytics is a highly demanding skill across various industries. You can pursue careers such as data analyst, business analyst, data scientist, and more.


4. What programming languages and tools are commonly used in data analytics courses?

Data analytics courses include Python, R, SQL, Excel, Jupyter Notebooks, Tableau, and Power BI. These tools facilitate data analysis, manipulation, visualization, and modeling, allowing students to gain practical skills for working with data in various domains.


5. Do data analytics courses cover machine learning and artificial intelligence concepts?

Yes, many data analytics courses include machine learning and artificial intelligence concepts. Students learn how to apply algorithms and techniques to analyze data, make predictions, and automate decision-making processes, making these courses valuable for those interested in advanced data analysis and predictive modeling.


In Conclusion:

At the core, data analytics courses in Lisbon equip individuals with the skills and knowledge needed to succeed in the current data-driven world. Whether you’re pursuing a career in data science, looking to enhance your analytical skills, or simply seeking to better understand the data around you, the concepts and techniques learned in this Data Analytics Course will undoubtedly serve as a valuable asset.

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