Data Science with SQL Server and R Training in Spain

  • Learn via: Online Instructor-Led / Classroom Based / Onsite
  • Duration: 4 Days
  • Level: Intermediate
  • Price: Please contact for booking options
  • Upcoming Date:
  • UK & Spain Based Global Training Provider

This Data Science with SQL Server and R Training in Spain introduces R programming, statistics, data mining, and machine learning, and shows how to apply data science within SQL Server and the Microsoft BI stack.

R is the most popular environment and language for statistical analysis, data mining, and machine learning. Its scalable version runs inside SQL Server, Power BI, and Azure ML. While the main focus of the course is R, it also covers how to integrate other Microsoft BI tools like Python, T-SQL, Power BI, Azure ML, and Excel for data science tasks.
Labs focus on R, but demos also feature other languages.


Why This Course?

  • Compare R and Python

  • Learn unsupervised learning techniques

  • Perform matrix operations

  • Visualize relationships between variables

  • Prepare data for analytics

  • Understand supervised learning models

We can organize this training at your preferred date and location. Contact Us!

Prerequisites

  • Basic understanding of data analysis

  • Familiarity with SQL Server tools

What You Will Learn

By the end of this Data Science with SQL Server and R Training in Spain, you will have gained knowledge and skills in the following areas:

  • Program in R from scratch using R Engine and RStudio

  • Understand the lifecycle of a data science project

  • Perform data exploration and preparation

  • Analyze relationships between variables using intermediate statistics

  • Apply linear modeling and Bayesian inference

  • Use R in SQL Server, Power BI, and Azure ML

  • Explore how Python can be used across all tools via demos

Training Outline

Module 1: Introducing Data Science and R

  • Definitions: statistics, data mining, machine learning

  • Data science project lifecycle

  • Introduction to R and its tools

  • R data structures

  • Lab 1

Module 2: Introducing Python

  • Basic syntax and objects

  • Data manipulation with NumPy and Pandas

  • Visualizations with Matplotlib and Seaborn

  • Machine learning with Scikit-Learn

  • Lab 2: R vs Python

Module 3: Data Overview

  • Datasets, cases, and variables

  • Variable types

  • Discrete and continuous variable statistics

  • Basic graphs and visualizations

  • Sampling, confidence levels and intervals

  • Lab 2

Module 4: Data Preparation

  • Derived variables

  • Handling missing values and outliers

  • Smoothing and normalization

  • Time series

  • Training and test set creation

  • Lab 3

Module 5: Associations Between Variables

  • Covariance and correlation

  • Contingency tables and chi-squared test

  • T-tests and ANOVA

  • Bayesian inference

  • Linear modeling

  • Lab 4

Module 6: Feature Selection and Matrix Operations

  • Feature selection in linear models

  • Basic matrix algebra

  • Principal component analysis (PCA)

  • Exploratory factor analysis

  • Lab 5

Module 7: Unsupervised Learning

  • Hierarchical clustering

  • K-means clustering

  • Association rules

  • Lab 6

Module 8: Supervised Learning

  • Neural networks

  • Logistic regression

  • Decision and regression trees

  • Random forests

  • Gradient boosting

  • K-nearest neighbors

  • Lab 7

Module 9: Modern Topics

  • Support vector machines

  • Time series forecasting

  • Text mining

  • Deep learning

  • Reinforcement learning

  • Lab 8

Module 10: R in SQL Server and Microsoft BI

  • ML Services (In-Database) architecture

  • Executing external scripts in SQL Server

  • Model storage and native prediction execution

  • Using R in Azure ML and Power BI

  • Lab 9

Why Choose Us

Experience Data Science with SQL Server and R in Spain through Bilginç IT Academy's live and interactive virtual classroom environment, accessible from your home, office, or any location. Connect with expert trainers in real time and bring the energy of classroom learning into the digital experience.

  • Live Instructor-Led Sessions: Join scheduled training sessions with your instructor and fellow delegates in real time.
  • Interactive Learning Experience: Take part in discussions, practical exercises, group activities, and Q&A sessions throughout the course.
  • Expert Trainer Network: Learn from experienced trainers with strong industry backgrounds and practical field expertise.
  • Over 30 Years of Training Expertise: Benefit from Bilginç IT Academy's long-standing experience in delivering professional training since 1995.
  • Flexible and Scalable Delivery: Access live virtual classrooms from Spain and worldwide, with flexible planning options for individual and corporate training needs.

Experience Data Science with SQL Server and R in a focused classroom environment in Spain. Bilginç IT Academy's carefully selected training venues provide a professional setting where delegates can interact directly with expert trainers and peers.

  • Experienced Trainers: Learn from specialists with extensive field experience and real-world knowledge.
  • Professional Training Venues: Attend courses in comfortable, well-equipped classrooms designed to support effective learning.
  • Focused Classroom Experience: Benefit from limited class sizes that encourage discussion, interaction, and personalized support.
  • Quality-Driven Learning: Develop practical skills through structured, up-to-date, and professionally designed training content.

Meet your team's training needs with Bilginç IT Academy's onsite Data Science with SQL Server and R in Spain solution, delivered at your office or preferred location. Align your team's development with your business goals through a training experience tailored to your organization.

  • Tailored Course Content: Adapt the training program to your organization's projects, team structure, and specific business requirements.
  • Time and Cost Efficiency: Reduce travel, accommodation, and operational costs while maximizing the value of your training investment.
  • Team-Focused Learning: Help your employees develop around the same knowledge base and strengthen collaboration across your organization.
  • Simplified Planning and Tracking: Manage the training process, participant development, and organizational requirements with greater control.


Contact us for more detail about our trainings and for all other enquiries!

Data Science with SQL Server and R Training Course in Spain Schedule

Join our public courses in our Spain facilities. Private class trainings will be organized at the location of your preference, according to your schedule.

We can organize this training at your preferred date and location.
22 julio 2026 (4 Days)
Madrid, Barcelona, Valencia, Seville
09 agosto 2026 (4 Days)
Madrid, Barcelona, Valencia, Seville
04 septiembre 2026 (4 Days)
Madrid, Barcelona, Valencia, Seville
18 septiembre 2026 (4 Days)
Madrid, Barcelona, Valencia, Seville
06 octubre 2026 (4 Days)
Madrid, Barcelona, Valencia, Seville
07 octubre 2026 (4 Days)
Madrid, Barcelona, Valencia, Seville
20 octubre 2026 (4 Days)
Madrid, Barcelona, Valencia, Seville
24 octubre 2026 (4 Days)
Madrid, Barcelona, Valencia, Seville

Spain has rapidly transformed into one of Europe's most vibrant technology ecosystems, with Madrid, Barcelona, and Valencia emerging as major global innovation hubs. The country is home to prestigious institutions like the Polytechnic University of Catalonia and IE Business School, which fuel the growth of sectors ranging from telecommunications to renewable energy tech. As a leading destination for digital nomads and multinational tech headquarters, Spain prioritizes digital literacy and high-level software engineering skills. Our training programs in Spain are designed to support this flourishing market, providing certifications in Cloud Computing, Cybersecurity, and Data Science. We help professionals across the Iberian Peninsula stay ahead of industry trends and drive the digital transformation of Spain’s increasingly diversified and high-tech economy.

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