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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

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.

Data Science with SQL Server and R Training in Finland

Upcoming Trainings

Data Science with SQL Server and R Training in Finland

Prerequisites

What You Will Learn

Outline

HOW TO LEARN DATA SCIENCE IN 2024

Upcoming Trainings