This training 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

We can organize this training at your preferred date and location. Contact Us!

Prerequisites

Basic understanding of data analysis
Familiarity with SQL Server tools

What You Will Learn

By the end of this training, 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

Training Outline

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

Why Choose Us

Experience Data Science with SQL Server and R through Bilginç IT Academy's live and interactive virtual classroom environment, accessible from your home, office, or any location. Connect with expert trainers in real time and bring the energy of classroom learning into the digital experience.

Live Instructor-Led Sessions: Join scheduled training sessions with your instructor and fellow delegates in real time.
Interactive Learning Experience: Take part in discussions, practical exercises, group activities, and Q&A sessions throughout the course.
Expert Trainer Network: Learn from experienced trainers with strong industry backgrounds and practical field expertise.
Over 30 Years of Training Expertise: Benefit from Bilginç IT Academy's long-standing experience in delivering professional training since 1995.
Flexible and Scalable Delivery: Access live virtual classrooms worldwide with flexible planning options for individual and corporate training needs.

Experience Data Science with SQL Server and R in a focused classroom environment designed for high engagement and effective learning. Bilginç IT Academy's carefully selected training venues provide a professional setting where delegates can interact directly with expert trainers and peers.

Experienced Trainers: Learn from specialists with extensive field experience and real-world knowledge.
Professional Training Venues: Attend courses in comfortable, well-equipped classrooms designed to support effective learning.
Focused Classroom Experience: Benefit from limited class sizes that encourage discussion, interaction, and personalized support.
Quality-Driven Learning: Develop practical skills through structured, up-to-date, and professionally designed training content.

Meet your team's training needs with Bilginç IT Academy's onsite Data Science with SQL Server and R solution, delivered at your office or preferred location. Align your team's development with your business goals through a training experience tailored to your organization.

Tailored Course Content: Adapt the training program to your organization's projects, team structure, and specific business requirements.
Time and Cost Efficiency: Reduce travel, accommodation, and operational costs while maximizing the value of your training investment.
Team-Focused Learning: Help your employees develop around the same knowledge base and strengthen collaboration across your organization.
Simplified Planning and Tracking: Manage the training process, participant development, and organizational requirements with greater control.

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.

Other

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