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Top 6 Data Analytics Courses In Lisbon With Practical Training

Lisbon is famous for its beautifully constructed and colorful buildings, affable people, and local culture including music. The capital city of Portugal offers courses most important for every company. If you want to build a trendy and stable career in Lisbon, then, Data analytics is recommended for you. This article will give you a good insight into the top 6 data analytics courses in Lisbon. When there is a chance why not grab it before the market competition increases? Go through this detailed list and make a choice that aligns with your objective and preferences.

Top Data Analytics Courses In Lisbon

Data Analytics and Its Importance 

Data analytics always provides support to create and identify new opportunities. It adds inputs to improve new kinds of opportunities in the market. Companies will gain high profits and generate a stronger customer base. Companies always follow up on past data to figure out mistakes. Thus, they can use it as a strength to get improvement in the future.

You might be wondering what is the relationship between a business and data analytics. You can help companies make key decisions by taking into account different data when you earn a certificate by enrolling in data analytics courses in Lisbon.

  • Companies are using big data technologies to get optimized results. They used it to reduce the cost structure to get benefits from it. It is like using cloud-based technologies to store large amounts of data. There always will be a good thing that opens up opportunities to develop the business further. As a data analyst, you have to follow the ways to reduce the cost structure. It might be helpful when you look into previous data for a better understanding.
  • A company always wants more information to implement better decisions. There will be data sources that help to gather data using the internet of things. Companies always want to make better decisions to smoothen the working process. As a data analytics specialist, you have to use those analysis-based tools to analyze the improvement process. You will know them when you go through the process after taking data analytics courses in Lisbon. It might be helpful for you to understand the importance. 
  • The companies develop new types of services and products to increase sales. Customer satisfaction is also important for the company. Therefore, companies have new types of solutions to expand their business. They even focus on customer requirements. The customer can recommend changes if they require something new from the company. It might give you good transparency to implement new changes.

Applications of Data Analytics 

Delivery and Logistics 

Delivery and logistics departments require the help of data analytics. Companies always want to focus on improving their operations to manage the overall system. That way, they will be able to figure out which ways the customer will order from them. They use GPS trackers to create a transparency level. That way, the customer will be informed after dispatch and they will be able to track all the status. Here is an example, when you place an order, from that time to when you receive the order, you can always track it on your mobile, isn’t it?

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Data analytics are always required in the manufacturing industry. With the help of the process, the managers have used a few forecasting tools. Mostly setting budgets of the product, prediction, and regression analysis will be the most useful tools for any manufacturing company. It will be helpful to maintain stock and identify the demanded product as well. Based on that, the company will be able to increase the operating capacity of the product. You will be able to understand the forecasting tools after knowing data analytics courses in Lisbon. 


Healthcare always requires data analytics to focus on the application process. It mostly measures all the information about the illness. Therefore, doctors are even used to record all the data for future use. When they find any specific patient and the patient does not want to share their profile with others. The doctor always keeps their profile hidden. It can be a bonding between the doctors and their patent. 


When people take insurance policies there is always a risk involved. It is related to personal data. Here insurance companies always take help from analytical software to understand more about it. It always will be a good thing to focus on further investigation of the claimable authorities. You will handle all of these things when you join any data analytics courses in Lisbon that covers data analytics for insurance. 

Fraud and Risk Detection 

Data analysis tools are required to analyse risks and fraud. In the current world, it is the most common thing. If malicious people get data of customers then they can easily get information on several types of data like bank account details and everything. The help of the data analytics tools will be always good to understand and detect frauds to make sure your profile is safe. 

Communication, Entertainment, and Media

Here mostly people create content to target different types of audiences. It will be helpful to ensure the performance level of the content. All the content-related documents will be easily analyzed. With the help of data analytics tools, one can collect and utilize all the insights. 

Dig in here and find the advanced courses:

Difference Between Data Analytics and Data Analysis 

Data analysis and data analytics both terms are almost the same. The concept is different for both of them. 

  • Data analytics always will be useful to make business-related decisions. On the other hand, the data analysis will be about specific actions. It does not require any tools.
  • Data analytics is mainly helpful to find the latest trends and forecast any types of actions. It also will be good to gather decisions to focus on the business.  
  • Data analysis will gather all the primary and secondary data from the market. Therefore, it will be helpful to analyze the increasing revenue model and other similar things.
  • The main difference will be that data analytics always collects the data. After that, they will take the report to forecast the future. 
  • Data analysis will be gathering data on a spreadsheet and analyzing the data using calculations.

Top Data Analytics Courses in Lisbon


They are the best online learning platform that offers skill development and finance course. They are best known for their data analytics course program.

The Course Curriculum is Below:

Module NameImportant Topic
Module 1: Basic and Advance Excel
Introduction to Data Handling
Data Manipulation Using Functions
Data Analysis and Reporting
Data Visualization in Excel
Overview of Dashboards
Module 2: Visual Basic Application
Introducing VBA
How VBA Works with Excel
Key Components of Programming Language
Programming Constructs in VBA
Functions & Procedures in VBA
Objects & Memory Management in VBA
Error Handling
Controlling Accessibility of Your Code
Communicating with Your Users
Module 3: SQL
Basics RDBMS Concepts
Utilizing the Object Explorer
Data Based Objects Creation (DDL Commands)
Data Manipulation (DML Commands)
Accessing Data from Multiple Tables Using SELECT
Optimizing Your Work
Module 3.1: SQL Server Reporting Services
Basics of SSRS
Creating Parameters
Understanding Visualization
Creating Visualization Using SSRS
Module 3.2: SQL Server Integration Services
Understanding Basics of SSIS
Understanding Packages
Creating Packages to Integrate
Creating Project Using SSIS
Module 4: Power BI
Data Preparation and Modeling
Data Analysis Expressions (DAX)
Reports Development (Visuals in Power BI)
Module 5: Data Analytics Using Python
Introduction to Basic Statistics
Introduction to Mathematical Foundations
Introduction to Analytics & Data Science
Python Essentials (Core)
Operations with NumPy (Numerical Python)
Overview of Pandas
Cleansing Data with Python
Data Analysis Using Python
Data Visualization with Python
Statistical Methods & Hypothesis Testing
Module 6: Tableau
Getting Started
Data Handling & Summaries
Reports Development (Visuals in Tableau)
Module 7: R For Data Science
Data Importing/Exporting
Data Manipulation
Data Analysis
Using R with Databases
Data Visualization with R
Introduction to Statistics
Linear Regression: Solving Regression Problems
Module 8: Alteryx
Overview of the Alteryx Course and Fundamental Concepts
Using the Select Tool to Rename Fields, Change the Data Type
Understanding the User Environment and Alteryx Settings
Filtering Data/Data Processing
Blending/Joining Data from Different Sources
Data Cleansing
Impute Values
Random Sample

Data Analytics Course is 6 months + 2 months of internship learning program.

550.39 Euro + taxes


  • Python
  • R
  • SQL
  • Tableau
  • Excel
  • Alteryx
  • Power BI

Why Should You Take Data Analytics Course with IIM SKILLs

  • Its a certified & globally recognized course
  • The course is best designed for the beginners to the professional level
  • The curriculum is timely updated
  • Highy experienced mentors
  • 24*7 guidance and career building support
  • Free learning materials access
  • Money back policy
  • Group Discount of 10% on group registration
  • Practical training
  • Assured internship.

Professional Courses from IIM SKILLS

Contact: +919580740740, [email protected]

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2. Ironhack Lisbon

Data analytics courses in Ironhack Lisbon will give you hands-on training to build up your skills. It always will be a good thing to add to your skillsets. The company’s revenue might increase after analyzing all the data.  The whole program will take up to 24 weeks. You will get to know SQL, statistics, Python and Tableau, and other software. You can enroll in their full-time and part-time course. The full-time course will take 9 weeks and the part-time program will take 24 weeks to finish. If you want to join data analytics courses in Lisbon, this institution can be good for you. 

Course Structure 


  • The students will be able to learn python, statistical analysis and My SQL. 
  • You will be able to understand basic programming and build a good connection. 
  • There you can take help from academic experts to build a good channel with them. 

Module 1 (Introduction to Python)

  • Introduction to data cleaning. 
  • Web scraping and APIs. 
  • Intermediate levels to SQL, python, and Git hub. 

Module 2 (Advanced Data Analytics)

  • Using python to know probability and inferential statistics. 
  • Fundamentals of business intelligence with incorporated python. 
  • Storytelling techniques to create the visualization. 

Module 3 (Fundamentals of Machine Learning)

  • Unsupervised and supervised data learning. 
  • Machine learning algorithms. 
  • Evaluating models. Training and Scikit-learning machine library. 

Application Process

  • You can apply online. You will get an invitation for a personal interview with the team. 
  • Then, you have to give a technical assessment to get into the learning process. 
  • You can select the payment options to get into the data analytics program. 
  • Now you start enjoying classes with experts. 

Course Fees



€ 7500,00

In Person

€ 6000,00



€ 7500,00

Contact Them

You have to fill out a form to know more about the course-related information. 

Find out here the advanced courses for faster learning:

3. Le Wagon 

This institution offers Bootcamp for data science courses. Their main motive is to provide fundamental skills to become data scientists within a few weeks. For that, you will get data analytics tools kits, machine and deep learning tools, machine learning, and team projects. Total 40 hours of online classes that will help you create good projects. You can get all resources from Le Wagon notes and materials. This institution provides opportunities for Bootcamp data analytics courses in Lisbon.

Course Structure 


Prep Work

  • Build your learning methods. 
  • Os, git hub, and terminals commend. 
  • Python foundations. 
  • Math foundations. 

Week 1 & 2

  • Web-scraping, APIs.
  • Numppy, python, and pandas. 
  • Google bg query, store data with SQL.
  • Matpoltlib, Plotly, jupyter notebook, and seaborn.

Week 3

  • Linear regression. 
  • Object-oriented programming in Python.
  • Interactive graphs with book presentations.

Week 4 & 5

  • XGBoosts libraries and Scikit -learn.
  • Supervised learning. 
  • Unsupervised learning. 
  • Structured data. 
  • Unstructured data.

Week 6

  • XGBoosts libraries and Scikit -learn.
  • Supervised learning. 
  • Unsupervised learning. 
  • Structured data. 
  • Unstructured data.

Week 7

  • Command line.
  • Virtual machines, google cloud, and SSH for training. 
  • DAG orchestration and machine learning flow.
  • Fast API and Docker.
  • Stream lit for the for frontend.

Week 8 & 9

  • The team will be giving you a project on data analytics. 

Career Week

  • You will receive one-to-one coaching. 
  • They will help you to get reviewed.
  • There you have the chance to prepare for the interviews. 

Part-time (Online)

Prep Work

  • Build your learning methods. 
  • Os, git hub, and terminals commend. 
  • Python foundations. 
  • Math foundations. 

Month 1

  • Web-scraping, APIs.
  • Numppy, python, and pandas. 
  • Google bg query, store data with SQL.
  • Matpoltlib, Plotly, jupyter notebook, and seaborn.

Month 2

  • Linear regression. 
  • Object-oriented programming in Python.
  • Interactive graphs with book presentations.

Month 3

  • XGBoosts libraries and Scikit -learn.
  • Supervised learning. 
  • Unsupervised learning. 
  • Structured data. 
  • Unstructured data.

Month 4

  • XGBoosts libraries and Scikit -learn.
  • Supervised learning. 
  • Unsupervised learning. 
  • Structured data. 
  • Unstructured data.

Month 5

  • Command line.
  • Virtual machines, google cloud and SSH for training. 
  • DAG orchestration and machine learning flow.
  • Fast API and Docker.
  • Stream lit for the for frontend.

Month 6

  • The team will be giving you a project on data analytics. 

Career Week

  • You will receive one-to-one coaching. 
  • They will help you to get reviewed.
  • There you have the chance to prepare for the interviews. 

Course Fees


€ 6500

Contact Them

You have to fill out a form to know more about the course-related information. 

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4. Lisbon School of Economics & Management

Their main motive is to provide good data analytics courses in Lisbon. Therefore, the institute has designed a well-rounded course develop your skill set. They promote a friendly environment, and good culture, and are committed to providing a better ambiance for students. Their course structure and fees are good. Why not go with their high-grade data analytics courses in Lisbon?

Course Structure 

  • Business intelligence and decision support 
  • Data platforms for analytics. 
  • Decision-making and optimization
  • Enterprise analytics. 
  • Programming foundations. 
  • Statistical methods and visualization. 
  • Advanced statistical methods. 
  • Big data analysis and tools. 
  • Forecasting methods. 
  • Machine learning with data mining. 
  • Programming for data science. 
  • Research and development seminar.

Course Fees

European Student 


€ 4850

Second year 


European Student (Outside)


€ 5650

Second year 


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5. Wild Code School

This institution provides data analytics courses in Lisbon for 5 months. They will give you full support to become a data analyst. The course will include machine learning, SQL, and python. They have all the information on their website.

You can check their website to get a 5 or 10 % discount. Even you can unlock 3 installments to give fees. This institute mostly covers all the google Sheets and Microsoft Excel-related concepts. They even help you to learn new data analytics-related tools and techniques. All of these will help you to grow in your career.

Weekly Course Schedule 


  • Quests (9 am to 12:30 pm)
  • Course and Workshop (2:00 pm to 5:30 pm)


  • Dojo (9 am to 12:30 pm)
  • Live demo (2:00 pm to 4:30 pm)
  • Support (4:30 pm to 5:30 pm)


  • Projects (9 am to 12:30 pm)
  • Projects (2:00 pm to 5:30 pm)


  • Autonomous work (9 am to 12:30 pm)
  • Workshop  (2:00 pm to 4:30 pm)
  • Support (4:30 pm to 5:30 pm)


  • Projects (9 am to 12:30 pm)
  • Projects (2:00 pm to 3:30 pm)
  • Project retrospective (3:30 pm to 5:00 pm)
  • Quiz (5:00 pm to 5:30 pm)

Course Fees

€ 4500

Contact Them

You have to fill out a form to know more about the course-related information. 

6. Lisbon Data Science Academy

This academy is a non-profit organization that has dedicated experts in data science. This institute’s main motive is to share about the data science career and high-paid jobs. It takes almost 40 weeks if you want to take the part-time course. They recommend going with 10 hours per week or at least 5 hours per week. That will be easy for you to complete all the course modules.

Course Structure 

Prep Work 

  • Pandas 101 (Code will be – SLU01)
  • Subsetting data in Pandas (Code will be – SLU02)
  • Visualization with pandas and Matplotib (Code will be – SLU03)

Bootcamp day 1

  • Basic stats with pandas (Code will be – SLU04)
  • Covariance and correlation (Code will be – SLU05)
  • Dealing with data problems (Code will be – SLU06)
  • Regression with linear regression (Code will be – SLU07)
  • Metrics for regression (Code will be – SLU08)
  • Classification with logistics regression (Code will be – SLU09)
  • Matrics for classification (Code will be – SLU010)

Bootcamp day 2

  • Tree-based models (Code will be – SLU011)
  • Feature engineering (Code will be – SLU012)
  • Bias-variance trade-off and model selection (Code will be – SLU013)
  • Model complexity and overfitting (Code will be – SLU014)
  • Hyperparameter tuning (Code will be – SLU015)
  • Workflow (Code will be – SLU016)
  • Ethics and fairness (Code will be – SLU017)

Specialization 1 (Binary Classification)

  • Hackathon 1

Specialization 2 (Data Wrangling )

  • Messy data (Code will be – BLU01)
  • Advanced wrangling (Code will be – BLU02)
  • Data sources (Code will be – BLU03)
  • Hackathon 2

Specialization 3 (Time Series )

  • Time series concepts (Code will be – BLU04)
  • Classical time series models (Code will be – BLU05)
  • Machine learning for time series (Code will be – BLU06)
  • Hackathon 3

Specialization 4 (Text classification )

  • Feature extraction (Code will be – BLU07)
  • Dimensionality reduction (Code will be – BLU08)
  • Information extraction (Code will be – BLU09)
  • Hackathon 4

Specialization 5 (Recommended system )

  • Non-personalized recommends (Code will be – BLU10)
  • Personalized recommends (Code will be – BLU11)
  • Workflow (Code will be – BLU12)
  • Hackathon 5

Specialization 6 (Data science in the real world )

  • Basic model deployment (Code will be – BLU13)
  • Deployment in the real world (Code will be – BLU14)
  • Model CSI (Code will be – BLU15)
  • Hackathon 6

Capstone Projects

  • Report 1
  • Model testing with real data
  • Report 2

Course Fees 


€ 100


€ 250


€ 1500

Contact Them

[email protected]

Frequently Asked Questions (FAQs)

Q 1. Can you tell me why data analytics is used in the current market?

Data analytics gives you ideas and insight into market trends and company performance It gives you a clarification of where the company is stuck and the recommendation to improve its models to earn more profit. Isn’t it interesting? You also can help them after you enroll in data analytics courses in Lisbon and get certified. 

Q 2. Is it okay if I get into data analytics courses as a beginner?

Yes, it is absolutely alright. If you are totally new to the subject you can learn and build good skills that can be helpful in the future. You even can analyze complex data and information when you focus on practicing all the tools and techniques.  At first, you might be thinking data analytics courses in Lisbon can be difficult to understand. After joining any institution you will understand it is not very difficult. When you practice everything slowly, you will understand more about it. You have to start developing your skill set. That is what every company is looking for in the present scenario.

Q 3. What are the most essential skills that are required to be a data analytics? 

When you enroll in data analytics courses, you will understand SQL is the most essential for data analytics. It is easy to learn when you practice every day. Next will be statistics and data management. You will be learning about managing the raw data. Here it will be essential to learn and interpret every pattern to get good results. There are other skills like machine learning and programming languages like R and python. You can just start reading about those software and skills to understand more in the classes.

Q 4. Are free courses good to start in this field?

Free courses are good but most of them are recorded. The courses are not live. You might not feel engaged enough with them. When a course is live it gives you a good insight into relevant information. The recommendation will be to always go for live classes if you are looking for online courses. There you will understand and can ask questions to your mentors and trainers. If you are stuck at any sections in the course or unable to understand any segment your dounts will be resolved there and then.


The data analytics field has loads of opportunities waiting for you. You just have to identify them after completing data analytics courses in Lisbon. If you get any internship take it. That will be most helpful to learn more about the tools and techniques.  Why not just focus on pursuing a course that will give you open opportunities in the field of data analytics? You maybe get a job role as an analyst. Do not waste time just take it. You will know the ways the company work and even you can get a permanent post there.  Opportunities do not come every day. When you get one you always should go for it. When you experience things on your own that will be the best kind of feeling. 


  • Hi I am Henriquez. I am a Bank Manager wanting to upgrade my knowledge and skills. Data in banking industry is particularly important, as it incredibly helps in the financial system’s ability to detect fraud. With the use of big data, we can look for all illicit activities that have occurred and spot instances of credit card and debit card fraud, business precision, or, as you might put it, customer statistics manipulation, as well as public analytics for business. Banking data may include employee records, customer account information, transaction history, bank name, address, and branch information. The data analytics skills are very essential and gaining knowledge and training about the advanced analytics methods, techniques and practices is better to get equipped with. This article providing information regarding data analytics courses in Lisbon has been very helpful. Thanks.

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