Top 8 Data Analytics Courses in Lisbon With Placements

Lisbon is the capital and largest city of Portugal. More than 300,000 companies are headquartered in this city because of its strategic location, favorable government policies, skilled workers, and good quality of life. All these factors have made Lisbon a rising business center. These businesses collect large amounts of data from their day-to-day activities to make strategies for capturing customers and increasing their revenue and sales. The collected data is then analyzed using various data analysis tools to get information that is crucial for evidence-based decision-making. This article aims to provide you with all the details about the top 8 data analytics courses in Lisbon.

 

These courses will help you develop all the essential data analysis skills that are needed to establish a successful career in the data analytics industry. Let’s first discuss the basics of data analytics and its scope before talking about the top data analytics courses in Lisbon.

 

What is Data Analytics?

Data analytics is the process of analyzing past information using various data analysis tools to find patterns and correlations between two or more variables. Data is analyzed using various tools like R, Python, and Excel and then the findings are visualized in the form of charts to graphs to enable the users to understand better.

 

Data Analytics Process

The following steps are included in the process of data analytics-

 

1.    Collect the required data

Data collection is the first step in the process of data analytics. At this step, data is collected from various sources such as surveys, interviews, observations, existing records, questionnaires, etc. Before collecting data, it is important to first identify your target population. A target population is a collection of a set of entities that have some common characteristics.

 

2.    Clean the data

Data cleaning is the second step which includes the following –

 

  • Deleting incorrect information
  • Removing duplicate values
  • Handling missing values
  • Managing the outliers

 

This is an important step as wrong data can lead to bias and reduce the credibility of the findings.

 

3.    Prepare the data for analysis

This step is also called data transformation. In this step, data is converted from one format to another format to make it more organized, improve data quality, and make it suitable for analysis.

 

4.    Analyse the data

Data analysis is the process of analyzing data using various tools like Microsoft Excel, Python, etc. to identify patterns and trends. This information can be used to make more informed decisions. It is used by the government to assess the impact of their policies and by businesses to plan for their future.

 

5.    Visualise the data

Data visualization is the final and critical step in the data analytics process. The information retrieved from the previous step is represented using various types of charts and graphs like bar charts, scatterplots, line charts, histograms, pie charts, etc. to make it easy for users to understand and make decisions. Power BI and Tableau are the two most popular data visualization tools.

 

Types of Data Analytics

There are four main types of data analytics- Descriptive analytics, Diagnostic analytics, Predictive Analytics, and Prescriptive analytics. These have been described below-

 

●      Descriptive Analytics

It deals with what happened in the past. It involves analyzing past data to draw insights for the future. This type of analysis is used in sales, marketing, finance, and operations. It is useful to find basic information about variables in a dataset and to find the relation between two or more variables.

 

·       Diagnostic Analytics

It deals with why something happened in the past. It helps to determine the cause behind a trend or a correlation between two or more variables. It can help businesses find out the reason behind unexpected falls in sales, changes in consumer preferences, etc.

 

·       Predictive Analytics

It answers ‘What will happen in the future?’ It utilizes historical data to determine the likelihood of an event occurring or the probable outcome of an event. It uses machine learning, statistical modeling, and artificial intelligence to predict the future behavior of variables.

 

·       Prescriptive Analytics

It seeks to answer ‘What to do next?’ It goes beyond explanations and predictions to suggest the best course of action. It’s especially useful for data-driven-informed decision-making.

 

Scope of Data Analytics

Enormous amounts of data are produced every day around us. It has completely transformed the way we function. In this data-driven world, sectors like health, education, government administration, agriculture, manufacturing, services, transport, and many more are analyzing huge amounts of data to improve their operations and reduce costs. Businesses are using data-driven insights to improve the experience of their customers, provide customized products, and increase their operational efficiency.

It is also used to predict future demand for their products and to identify future growth opportunities. According to the World Data Science Initiative, around 80% of companies in the world are investing in data analytics, leading to a rise in demand for data analysts and data scientists.

The following list of data analytics courses in Lisbon will help you gain knowledge about some important concepts of data analytics like advanced statistics, programming languages like Python and R, SQL, data visualization, machine learning, database management, etc.

 

Now, let me introduce you to the top 8 data analytics courses in Lisbon.

 

Top 8 Data Analytics Courses in Lisbon

 

1.    IIM SKILLS – Data Analytics Master Course

IIM SKILLS provides one of the best data analytics courses in Lisbon. It provides 100+ hours of live lectures and practical assignments, along with hands-on tool-based learning. You will get to work on more than 7 live projects and 10+ case studies. You can also register for its internship program which will help you gain practical experience in the data analytics field. After completion of the course, you will become an expert in using tools like Excel, Power BI, Python, SQL, etc.

 

  • Course Name – Master Data Analytics Course
  • Course Duration – 6 Months + 2 Months Non-Paid Internship
  • Course Fee – € 662

 

      Course Modules

 

  • Data Analytics using Advanced Excel

It includes an introduction to data handling, data visualization, data manipulation using functions, data analysis and reporting, an overview of dashboards, and the creation of a dashboard using pivot controls.

 

  • Data Analytics using VBA

This module covers Introduction to VBA, key components of programming language, how VBA works with Excel, programming constructs, functions and procedures in VBA, objects & memory management, and communicating with users.

 

  • Data Analytics using SQL

It covers basic RDBMS concepts, utilizing the object explorer, data-based object creation (DDL Commands), data manipulation (DML Commands), SQL server reporting and integration services, etc.

 

  • Data Analytics using Power BI

This module provides an introduction to Power BI, data preparation and modeling, removal and addition of rows and columns, data analysis expressions, and report development.

 

  • Data Analytics using Python-1

It includes an introduction to basic statistics, an introduction to mathematical foundations, an introduction to analytics & data science, Python essentials, operations with Numerical Python, an overview of Pandas, and cleaning data with Python.

 

  • Data Analytics using Python-2

This module covers data analysis using Python, basic visualization tools, visualizing geospatial data, data visualization with Python, advanced visualization tools, statistical methods, and hypothesis testing.

 

  • Data Analytics using Tableau

It covers data handling and summaries, building advanced reports and maps in Tableau, table calculations, and calculated fields.

 

  • R for Data Science

It includes data importing/exporting, data manipulation, data analysis, data visualization with R, using R with databases, introduction to statistics, linear regression, and testing.

 

  • Data Analytics using Alteryx

IIM Skills also offers a free demo class to give you a glimpse of the course along with many complimentary services like resume preparation, interview support, backup classes, and job referrals.

 

2.    Le Wagon – Data Analytics Bootcamp

Le Wagon offers a data analytics boot camp in Lisbon that helps you master fundamental data analytics skills in just a few months. You will learn from data experts and also get access to the international community of 21,000+ alumni.

You must first complete a 40-hour preparation work that will give you a foundation in tech and culture in order to be ready and get the most out of this boot camp. This prep work includes mastering tools like Python, Google Sheets, and SQL and understanding the basics of data analysis.

 

  • Course Name – Data Analytics Bootcamp
  • Course Duration – On campus: full-time (2 months)

Online:  part-time (6 months)

  • Course Fee – € 6,500

 

Data Analytics Courses in Lisbon Modules

 

  • Data Manipulation with Google Sheets

This module will help you understand the data organization in business along with product analysis, sales analysis, marketing analysis, and sales analysis. You will also learn to build automated dashboards with Google Sheets.

 

It covers Bigquery (Google’s data warehouse), mastering SQL queries for analytics, and segmenting data into data layers with the DBT tool. You will also study the different data architectures of tech companies in this module.

 

  • Data Extraction

This module includes understanding the principle of APIs with the Airbyte tool and learning automation tools – Zapier and n8n, Fivetran, and Google Tag Manager.

 

  • Data visualization and business intelligence

In this, you will learn the best visualization techniques (Power BI) and master the leading tools like Looker Studio. You will also conduct relevant analysis and interpret the AB testing results.

 

  • Python for data analysis and prediction

The essential skills that you will learn in this module include discovering the Jupyter Notebook format, predicting the future using Python sklearn and prophet libraries, creating data clusters, and automating the execution of scripts with Airflow.

 

  • Final project

In this project, you will learn to structure the problem and identify, extract, centralize, and process the data properly. You will also develop automated dashboards based on your analysis.

 

After completion of these modules, career support will be provided by Le Wagon and you will also get a chance to participate in tech talks with top data analysts of various startups.

 

3.    Lisbon School of Economics & Management – Master’s degree in Data Analytics for Business

If you are interested in Data Science, Business Analytics, and Information Systems, then this master’s course is for you. This is among the top data analytics courses in Lisbon. It aims to prepare you for challenges associated with business analytics, coding, big data, data science, and machine learning. This course is taught by experts who are involved in the business translation of data analytics.

 

  • Course Name – Master’s degree in Data Analytics for Business
  • Course Duration – 1 year (full-time)
  • Course Fee – € 6,850 (within the European Union)

€ 8,150 (outside the European Union)

 

Course Modules

 

Year 1 – Semester 1

  • Business Intelligence and Decision Support
  • Data Platforms for Analytics
  • Decision Making and Optimization
  • Enterprise Analytics
  • Programming Foundations
  • Statistical Methods and Visualization

Year 1 – Semester 2

  • Advanced Statistical Methods
  • Big Data Tools and Analytics
  • Forecasting Methods
  • Machine Learning and Data Mining
  • Programming for Data Science
  • Research & Development Seminars

Year 2 – Semester 1

Masters Final Work – MFW

  • Dissertation
  • Project
  • Internship

 

4.    Ironhack – Data Analytics Bootcamp

This data analytics boot camp enables you to get an understanding of topics like AI, ChatGPT, and basic programming tools. This bootcamp is beginner-friendly and doesn’t require any prior experience. Before starting with the modules, you will get 60 hours of online learning material related to Git, Python, SQL, and statistical analysis. This will help in building your foundation.

 

  • Course Name – Data Analytics Bootcamp
  • Course Duration – 2 months (full-time)

6 months (part-time)

  • Course Fee – €6,500 (on campus)

€7,500 (remote/ online)

 

Course Modules

  • Intro to Python
  • Advanced Analytics
  • Machine Learning Fundamentals

 

5.    University Institute of Lisbon – Master (MSc) in Data Science

This program ranks high among the top data analytics courses in Lisbon as it provides a good mixture of theoretical and practical knowledge. It aims to develop analytical, descriptive, and predictive skills in the participants. It will help you gain advanced skills related to Machine Learning, Text Mining, Big Data, etc.

 

  • Course Name – Master in Data Science
  • Course Duration – 2 years

 

  • Course Fee – For EU nationals: 1st Year € 4000

2nd Year € 1800

 

For non- EU nationals:  1st Year € 5000

2nd Year € 2500

 

Data Analytics Courses in Lisbon Modules

Year 1

  • Data-Driven Strategy Optimization
  • Time Series Analysis and Forecasting
  • Deep Learning for Computer Vision
  • Bayesian Modelling
  • Big Data Processing and Modeling
  • Text Mining for Data Science
  • Advanced Network Analysis
  • Advanced Distributed Databases
  • Business Analytics Fundamentals
  • Big Data Management
  • Data Science Methodologies and Technologies
  • Prediction Models
  • Pattern Recognition

 

Year 2

 Cyberlaw

  • Project Design for Data Science
  • Dissertation in Data Science
  • Master Project in Data Science

 

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6.    ISEG Executive Education – Data Science & Business Analytics

This program will help you organize, process, and extract knowledge from vast amounts of data. It will provide you knowledge and abilities to successfully plan, manage, and implement a business intelligence solution. It will provide practical experience to you as this course is offered in partnership with Microsoft.

 

  • Course Name – Data Science & Business Analytics
  • Course Duration – 9 months (152 hours)
  • Course Fee – € 4900

 

Data Analytics Courses in Lisbon Modules

   Block 1

  • Seminar – Data science body of knowledge
  • Business Intelligence & Decision Support
  • Statistics for data science
  • Data and Database management
  • Data analysis and exploration

 

   Block 2

  • Data warehousing
  • Python programming language
  • Data mining and machine learning
  • Data lake of unstructured data

   Block 3

  • Advanced Machine Learning and AI
  • Data science project

 

7.    Nova IMS – Master’s Degree in Data Science and Advanced Analytics

This postgraduate program offers a specialization in Data Science. It aims at deepening your scientific skills and enabling you to apply these skills to complex real-world problems. The top students of the 1st year will get a chance to do 6 months paid internship in their 2nd year in one of the top companies like Accenture, Future Healthcare, etc. It will help you master data mining tools and computational intelligence along with descriptive and predictive models.

 

  • Course Name – Master’s Degree in Data Science and Advanced Analytics
  • Course Duration – 2 years
  • Course Fee – Application fee: €51

Pre-registration fee: €1.250 (for EU and Portuguese applicants)

                                                                       €2.500 (for applicants from other countries)

Enrollment fee: €35

Annual school insurance: €1,40

Registration fee: €35

Tuition fee: €1,40 (including 1st & 2nd year)

 

Data Analytics Courses in Lisbon Modules

1st Year – Fall Semester

  • Data Mining
  • Machine Learning
  • Programming for Data Science
  • Statistics for Data Science
  • Storing and Retrieving Data

 

1st Year – Spring Semester

  • Big Data Analytics
  • Computational Intelligence for Optimization
  • Deep Learning
  • Text Mining
  • Big Data Modelling and Management
  • Business Cases with Data Science
  • Business Intelligence
  • Business Process Management
  • Data Visualization
  • Digital Transformation
  • Ethics in Data Science
  • Machine Learning Operations
  • Neural and Evolutionary Learning
  • Reinforcement Learning

 

2nd Year – Fall Semester

  • Dissertation/ Work Project/ Internship Report
  • Research Methods

 

8.    Católica Lisbon School of Business and Economics – MSc in Business Analytics

Católica Lisbon School of Business and Economics provides one of the most specialized and comprehensive data analytics courses in Lisbon. It provides training in business analytics and data science. In this course, you will learn to structure data analytics problems and use cutting-edge tools and techniques. In the last semester, you can choose two courses of your choice depending on your career goals. You will also acquire critical skills for effective leadership in contemporary, data-driven organizations.

 

  • Course Name – MSc in Business Analytics
  • Course Fee – 3-semester: € 12.200 total fees

4-semester (with optional exchange semester): € 14.200

 

Data Analytics Courses in Lisbon Modules

Semester 1

 

  • Business Analytics Framework

This comprises data visualization, foundations of statistics with applications in R, introduction to programming, and time series econometrics.

 

  • Business Management & Economics

The primary goal of this course is to develop important skills required for effective leadership in organizations. This covers data privacy and ethics and managing people.

 

Semester 2

 

  • Business Analytics Framework

While enhancing your statistical and programming knowledge and skills, it will also teach you the best practices in data acquisition, management, and analytics. The coursework includes causality & randomized experiments and database management.

 

  • Business Management & Economics

This course is mandatory for you if you don’t have a background in economics or business management. Students with this background can opt for Business Management & Economics Elective.

 

  • Analytics in Practice

In this section, you will learn about predictive analytics and some advanced topics.

       

In addition to the above coursework, you will have to choose two elective courses (3.5 ECTS each) out of the following options-

 

  1. ANALYTICS IN PRACTICE ELECTIVE COURSES
  • Big Data Technologies (3.5 ECTS)
  • AI Interpretability and Fairness (3.5 ECTS)

 

  1. BUSINESS MANAGEMENT AND ECONOMICS ELECTIVE COURSES
  • Operations – Operations Analytics (3.5 ECTS)

Supply Chain Management (3.5 ECTS)

 

  • Strategy – Advanced Strategic Management (3.5 ECTS)

Strategic Management (3.5 ECTS)

 

  • Marketing – Brand Management (3.5 ECTS)

Business-to-Business Marketing Strategy (3.5 ECTS)

Consumer Behaviour (3.5 ECTS)

Strategic Marketing (3.5 ECTS)

 

  • Accounting & Finance – Finance (7 ECTS)

Financial Decision-Making in Business Context (3.5 ECTS)

Management Accounting (3.5 ECTS)

Performance Evaluation (3.5 ECTS)

 

  1. FREE ELECTIVES

You can also choose an elective out of your area of expertise or a topic that interests you.

 

 Semester 3

In the third semester, you can have a Master’s Exchange semester in one of the partner universities. You can also take an academic break to do a full-time internship before the thesis semester.

 

If you decide not to participate in an exchange program or take a semester off for a full-time internship, the third semester will be your Dissertation Semester.

 

Dissertation Semester

This is the time when you build on the knowledge and skills you’ve acquired throughout the program to create a unique project on a topic that aligns with your career goals and enables you to succeed in a field you find professionally relevant.

 

FAQs: Data Analytics Courses in Lisbon

 

●      What are the career options after completing data analytics courses in Lisbon?

There are various types of roles in the data analytics field. Some of them are – Data Scientists, Business Analysts, Data Engineer, Data Analyst, Research Analysts, Operations Analysts, Financial Analysts, Risk Analysts, IT Analysts, and many more. You can work in a wide range of fields including government consultancy, IT firms, the finance sector, etc.

 

●      What skills and tools do I need to become a data analyst?

To become a data analyst, you need critical thinking skills, problem-solving skills, good communication skills, and analytical skills. You need to master basic to advanced statistics, Python, SQL, data visualization tools like Power BI and Tableau, Advanced Excel, Machine Learning, R, Econometrics, Linear Algebra, and Calculus.

 

●      What is the average salary of a data analyst in Lisbon?

The average salary for a data analyst in Lisbon, Portugal is €3,516 per month. However, your experience level and skill set also impact the salary offered.

 

●      How is data analytics different from data science?

Data analytics involves analyzing past data to uncover trends and patterns. A data analyst cleans data, interprets it, and communicates it clearly through dashboards.  In contrast, data science involves advanced statistical analysis and programming skills. A data scientist trains and develops machine learning models and employs predictive analytics.

 

●      What qualifications are important to become a data analyst?

To build a career in data analytics, you need to have a bachelor’s degree in a related field like computer science, statistics, mathematics, or economics. Nowadays, universities also offer degrees with a specialization in data analytics. However, it is also possible to learn the required skills through self-study or by enrolling in a boot camp program.

 

Conclusion

These data analytics courses in Lisbon can help you gain real-world experience and skills that are important to succeed in the data analytics field. These courses cover a wide range of topics like data cleaning, data analysis, data visualization, machine learning, statistical programming, predictive analytics, etc. Becoming an expert in these areas will make you a valuable asset for MNCs that are eager to hire data experts. So, take your first step towards a successful career in data analytics in Lisbon!

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