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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 Germany

The Federal Republic of Germany is the second most populous country in Europe and is located in Central Europe. The official language of the country is German. Germany is one of the richest countries in the world. The main exports of the country include motor vehicles and iron and steel products.

Here are some fun facts about Germany:
The fairy tale writer, the Brothers Grimm, came from Germany and wrote many famous stories such as Cinderella, Snow White, and Sleeping Beauty.
Germany is home to the largest theme park in Europe, the Europa-Park.
The famous composer Ludwig van Beethoven was born in Germany.
The Autobahn, the German highway system, is known for having no general speed limit.

Berlin was divided by the Berlin Wall from 1961 to 1989. Known for its street art, Berlin has many colorful murals and graffiti throughout the city. Also, Berlin is home to many famous museums, such as the Pergamon Museum and the Museum Island. Many clubs and bars stay open until the early hours of the morning in this big city.

Another popular city is Munich, which is famous for its Oktoberfest beer festival that attracts millions of visitors every year. Munich is also home to many historic buildings, including Nymphenburg Palace and the Marienplatz town square.

The country's capital and largest city is Berlin, however Frankfurt is considered to be the business and financial center of Germany. It is home to the Frankfurt Stock Exchange, the European Central Bank, and many other financial institutions. Because of its central location within Europe and its status as a major financial hub, Frankfurt is often referred to as the "Mainhattan," a play on the city's name and its association with the Manhattan financial district in New York City.

Frankfurt is also a major transportation hub, with the largest airport in Germany and one of the largest in Europe, Frankfurt Airport. Additionally, it is a popular destination for tourists, with its historic city center, beautiful parks, and vibrant cultural scene.

Some of the top German technology companies like Siemens AG, Bosch, SAP SE, Deutsche Telekom, Daimler AG and Volkswagen has business centers in Frankfurt. The country has a strong tradition of engineering and innovation, and is home to many other world-class technology companies and research institutions.

Tailored to meet the specific needs of Germany, Bilginç IT Academy combines cutting-edge training methodologies with our comprehensive range of Certification Exam preparation courses and accredited corporate training programs. Experience a transformative approach to IT training that will redefine your expectations.

Data Science with SQL Server and R Training in Germany

Upcoming Trainings

Data Science with SQL Server and R Training in Germany

Prerequisites

What You Will Learn

Outline

HOW TO LEARN DATA SCIENCE IN 2024

Upcoming Trainings