Data Science with SQL Server and R, Finland

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This Data Science with SQL Server and R Training in Finland 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

Basic understanding of data analysis
Familiarity with SQL Server tools

By the end of this Data Science with SQL Server and R Training in Finland, 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

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

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

Why This Course?

Prerequisites

What You Will Learn

Outline