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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

Why have you chosen us?

I have attended a training from Bilginc IT Academy before and I was satisfied.

I have attended a training from a different provider and it was not helpful.

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How many employees do you have in your IT department?

0 – 50

50 – 250

250 – 1000

1000+

Data Science with SQL Server and R Training Course in Switzerland

Switzerland, or officially known as the Swiss Confederation, is a federated country of central Europe. Because of its linguistic diversity, Switzerland is known by a variety of native names, such as Schweiz, Suisse, Svizzera and Svizra. While Bern is the administrative capital, Lausanne is the judicial centre of Switzerland. Zurich, Geneva and Basel are bases of some important international organisations such as the WTO, the WHO and FIFA. The country is well-known for its high welfare; Switzerland has the highest nominal wealth per adult.

Alongside the beautiful scenery, tourists visit Switzerland for the country's cultural attractions. There are many museums, galleries and historic buildings within popular cities such as Zurich, Geneva, and Lausanne. One of the most popular things to do is a train journey to the Top of Europe; Jungfraujoch. The longest glacier in Europe, the Great Aletsch Glacier begins at Jungfraujoch, and is also a UNESCO World Heritage Site.

Experience a paradigm shift in IT training with Bilginç IT Academy as we cater to the specific needs of Switzerland. Our training catalog showcases an array of Certification Exam preparation courses and accredited corporate training options, all delivered with innovative methodologies that will transform your learning journey.

Data Science with SQL Server and R Training in Switzerland

Upcoming Trainings

Data Science with SQL Server and R Training in Switzerland

Prerequisites

What You Will Learn

Outline

HOW TO LEARN DATA SCIENCE IN 2024

Upcoming Trainings