Data Science with SQL Server and R Training in Finland

  • Learn via: Classroom
  • Duration: 4 Days
  • Level: Intermediate
  • Price: From €3,692+VAT
We can host this training at your preferred location. Contact us!

Introducing the language, statistics, data mining, and machine learning with R, and using data science in SQL Server and Microsoft BI stack.

R is the most popular environment and language for statistical analyses, data mining, and machine learning. Managed and scalable version of R runs in SQL Server, Power BI, and Azure ML. The main topic of the course is the R language. However, the course also shows how to use the languages and tools available in MS BI suite for data science applications, including Python, T-SQL, Power BI, Azure ML, and Excel. The labs focus on R; the demos also show the code in other languages.

Why This Course?

  • Compare R vs Python.
  • Get familiar with unsupervised learning methods.
  • Execute matrix operations.
  • Visualize associations between variables.
  • Prepare Data for analytical tasks.
  • Get familiar with supervised learning methods

Attendees should have basic understanding of data analysis and basic familiarity with SQL Server tools

Attendees of this course learn to program with R from the scratch. Basic R code is introduced using the free R engine and RStudio IDE. A lifecycle of a data science project is explained in details. The attendees learn how to perform the data overview and do the most tedious task in a project, the data preparation task. After data overview and preparation, the analytical part begins with intermediate statistics in order to analyze associations between pairs of variables. Then the course introduces more advanced methods for researching linear dependencies.

Finally, the attendees also learn how to use the R code in SQL Server, Azure ML, and Power BI through labs, and how to use Python for inside all of the tools mentioned through demos.

Module 1. Introducing data science and R

  • What are statistics, data mining, machine learning…
  • Data science projects and their lifetime
  • Introducing R
  • R 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 libraries
  • Data science with Scikit-Learn
  • Lab 2: Discussion – R vs Python

Module 3. Data overview

  • Datasets, cases and variables
  • Types of variables
  • Introductory statistics for discrete variables
  • Descriptive statistics for continuous variables
  • Basic graphs
  • Sampling, confidence level, confidence interval
  • Lab 2

Module 4. Data preparation

  • Derived variables
  • Missing values and outliers
  • Smoothing and normalization
  • Time series
  • Training and test sets
  • Lab 3

Module 5. Associations between two variables and visualizations of associations

  • Covariance and correlation
  • Contingency tables and chi-squared test
  • T-test and analysis of variance
  • Bayesian inference
  • Linear models
  • Lab 4

Module 6. Feature selection and matrix operations

  • Feature selection in linear modelsExecute
  • Basic matrix algebra
  • Principal component analysis
  • 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 trees
  • K-nearest neighbors
  • Lab 7

Module 9. Modern topics

  • Support vector machines
  • Time series
  • Text mining
  • Deep learning
  • Reinforcement learning
  • Lab 8

Module 10. R in SQL Server and MS BI

  • ML Services (In-Database) structure
  • Executing external scripts in SQL Server
  • Storing a model and performing native predictions
  • R in Azure ML and Power BI
  • Lab 9


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

Upcoming Trainings

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

07 tammikuuta 2025 (4 Days)
Helsinki, Espoo
Classroom / Virtual Classroom
€3,692 +VAT
Book Now
17 tammikuuta 2025 (4 Days)
Helsinki, Espoo
Classroom / Virtual Classroom
07 tammikuuta 2025 (4 Days)
Helsinki, Espoo
Classroom / Virtual Classroom
€3,692 +VAT
Book Now
04 helmikuuta 2025 (4 Days)
Helsinki, Espoo
Classroom / Virtual Classroom
08 helmikuuta 2025 (4 Days)
Helsinki, Espoo
Classroom / Virtual Classroom
17 tammikuuta 2025 (4 Days)
Helsinki, Espoo
Classroom / Virtual Classroom
13 helmikuuta 2025 (4 Days)
Helsinki, Espoo
Classroom / Virtual Classroom
26 helmikuuta 2025 (4 Days)
Helsinki, Espoo
Classroom / Virtual Classroom
Data Science with SQL Server and R Training Course in Finland

Finland is a country located in northern Europe. Helsinki is the capital and largest city of the country. The majority of the people are Finns but there is also a small Lapp population in Lapland, where the country is famous for the Northern Lights. Finland's national languages are Finnish and Swedish.

Known for its vast forests, lakes, and natural beauty, Finland is one of the world's largest producers of forest products, such as paper, pulp, and lumber. One of the world's largest sea fortresses Suomenlinna, Rovaniemi with the "White Nights", dogsled safaris and of course the Northern Lights are what makes Finland so popular for tourists. Finland is one of the best places in the world to see the Northern Lights and attracts millions of tourists during its seasons.

Finland is home to a thriving technology industry and is widely recognized as one of the world's leading technology hubs. Companies such as Nokia and Rovio (creator of the popular game Angry Birds) are based in Finland. Some of the key factors that have contributed to Finland's success in technology include; strong investment in research and development, a highly educated workforce and fundings.

Finland has a strong educational system, and is widely regarded as one of the world's most literate countries. In fact, Finland's literacy rate is one of the highest in the world, and its students consistently perform well in international tests of math and reading ability.

Also, as a pioneer in environmental sustainability, Finland is known for its efforts to reduce its carbon footprint and promote clean energy. This Nordic country is also famous for its unique and distinctive cultural heritage, including its traditional folk music and its elaborate traditional costumes.

Helsinki, Finland's capital city, is the country's business center. Helsinki is Finland's largest city, and it is home to many of the country's major corporations and organizations, including many of the country's leading technology firms. The city is also a commercial, trade, and financial center, as well as one of the busiest ports in the Nordic region.

Take advantage of our diverse IT course offerings, spanning programming, software development, business skills, data science, cybersecurity, cloud computing and virtualization. Our knowledgeable instructors will provide you with practical training and industry insights, delivered directly to your chosen venue in Finland.
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