Data Science with SQL Server and R Training in Kazakhstan

  • Learn via: Online Instructor-Led / Classroom Based / Onsite
  • Duration: 4 Days
  • Level: Intermediate
  • Price: From €3,952+VAT
  • Upcoming Date:
  • UK Based Global Training Provider

This Data Science with SQL Server and R Training in Kazakhstan 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 Data Science with SQL Server and R Training in Kazakhstan, 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 live, interactive learning from the comfort of your home or office with Bilginç IT Academy's Online Instructor-Led Data Science with SQL Server and R Training in Kazakhstan. Engage directly with expert trainers in a virtual environment that mirrors the energy and schedule of a physical classroom.

  • Live Sessions: Join scheduled classes with a live instructor and other delegates in real-time.
  • Interactive Experience: Engage in group activities, hands-on labs, and direct Q&A sessions with your trainer and peers.
  • Global Expert Trainers: Learn from a handpicked global pool of expert trainers with deep industry experience.
  • Proven Expertise: Benefit from over 30 years of quality training experience, equipping you with lasting skills for success.
  • Scalable Delivery: Accessible worldwide, including Kazakhstan, with flexible scheduling to meet your professional needs.

Immerse yourself in our most sought-after learning style for Data Science with SQL Server and R Training in Kazakhstan. Our hand-picked classroom venues in Kazakhstan offer an invaluable human touch, providing a focused and interactive environment for professional growth.

  • Highly Experienced Trainers: Boost your skills with trainers boasting 10-20+ years of real-world experience.
  • State-of-the-Art Venues: Learn in high-standard facilities designed to ensure a comfortable and distraction-free experience.
  • Small Class Sizes: Our limited class sizes foster meaningful discussions and a personalized learning journey.
  • Best Value: Achieve your certification with high-quality training and competitive pricing.

Streamline your organization's training requirements with Bilginç IT Academy’s Onsite Data Science with SQL Server and R Training in Kazakhstan. Experience expert-led learning at your own business premises, tailored to your corporate goals.

  • Tailored Learning Experience: Customize the training content to fit your unique business projects or specific technical needs.
  • Maximize Training Budget: Eliminate travel and accommodation costs, focusing your entire budget on the training itself.
  • Team Building Opportunity: Enhance team bonding and collaboration through shared learning experiences in your workspace.
  • Progress Monitoring: Track and evaluate your employees' progression and performance with relative ease and direct oversight.


Contact us for more detail about our trainings and for all other enquiries!

Data Science with SQL Server and R Training Course in Kazakhstan Schedule

Join our public courses in our Kazakhstan facilities. Private class trainings will be organized at the location of your preference, according to your schedule.

We can organize this training at your preferred date and location.
04 мамыр 2026 (4 Days)
Almaty, Astana, Shymkent
€3,952 +VAT
06 маусым 2026 (4 Days)
Almaty, Astana, Shymkent
€3,952 +VAT
07 маусым 2026 (4 Days)
Almaty, Astana, Shymkent
€3,952 +VAT
08 маусым 2026 (4 Days)
Almaty, Astana, Shymkent
€3,952 +VAT
19 маусым 2026 (4 Days)
Almaty, Astana, Shymkent
€3,952 +VAT
04 шілде 2026 (4 Days)
Almaty, Astana, Shymkent
€3,952 +VAT
12 шілде 2026 (4 Days)
Almaty, Astana, Shymkent
€3,952 +VAT
16 шілде 2026 (4 Days)
Almaty, Astana, Shymkent
€3,952 +VAT

Kazakhstan stands as the preeminent technological and financial powerhouse of Central Asia, with the dynamic cities of Almaty and Astana serving as global magnets for innovation. The country is home to the Astana Hub, an international tech startup center, and Nazarbayev University, both of which are at the forefront of pioneering research in Artificial Intelligence, Blockchain, and Big Data analytics. Kazakhstan has achieved worldwide recognition for its advancements in digital mining and financial technologies, supported by a national strategy that prioritizes high-quality IT education and continuous professional development. Our comprehensive training programs are strategically designed to empower professionals in Kazakhstan to master complex corporate systems and lead large-scale digital innovation processes. By bridging the gap between local talent and global industry standards, we ensure that the Kazakh workforce remains highly competitive in the rapidly evolving Eurasian digital economy.

By using this website you agree to let us use cookies. For further information about our use of cookies, check out our Cookie Policy.