Time Series and Forecasting with R Training in Kazakhstan

  • Delivery Method: Online Instructor-Led / Classroom Based / Onsite
  • Participation Model: Public Training / Private / In-House Training
  • Duration: 3 Days
  • Level: Expert
  • Price: From USD 5,400 +TAX
  • Upcoming Date:
  • UK & Türkiye Based Global Training Provider

This three-day course is aimed at those who are familiar with data analysis and are interested in learning about how to analyse, model, and yield value from time series assets.

This course will be of interest if you are interested in developing your own skills to move from analytics to Data Science, or if you are working with Data Scientists and want to learn more about what is possible when working with time series data.

You will be introduced to key concepts and tools for use in time series analysis and forecasting including time series characteristics, time series components, time-based statistics, model development, exploratory analysis and visualisation, as well as techniques and strategies for model deployment.

Throughout the course you will engage in activities and discussions with one of our Data Science technical specialists. Theoretical modules are complimented with comprehensive practical labs.



Prerequisites

  • Intermediate knowledge of R programming, including variables, types, use of functions etc.
  • Understanding of linear regression models and model equations.

Target Audience

Members of the audience are required to have a some technical expertise such as table structure, working with tabular data in R, and simple data analysis.

They may be Mid/Senior Leadership seeking a greater understanding of how to utilise time series assets within their organization.

They may come from other technical backgrounds such as Data Analysts, Software Developers, and Data Engineers who either work with Data Scientists or are using this course in their journey towards training as a Data Scientist.


We can organize this training at your preferred date and location.
HAVELSAN
ASELSAN
PepsiCo Türkiye
JTI TÜTÜN ÜRÜNLERİ SANAYİ A.Ş.
ING Bank
DHL
MASTERCARD
Huawei
TotalEnergies
Mercedes-Benz Türk A.Ş.
Goodyear
FORD OTOMOTIV SANAYI A.S.
3M COMPANY
Schneider Electric
Central Bank of Azerbaijan
BP Petrolleri
Procter & Gamble (P&G)
Qatar Foundation
Bank Of China
GlaxoSmithKline (GSK)
MORGAN STANLEY & CO Inc
Novo Nordisk
DEUTSCHE BANK
Azerbaycan Cumhuriyeti Emek ve Ahalinin Sosyal Güvenliği Bakanlığı
ACCENTURE

What You Will Learn

  • Interpret time series visualisations and understanding the business need for forecasts
  • Identify decomposition components: trend, seasonality, noise
  • Identify methods for handling shocks
  • Calculate a moving average
  • Identify how regression methods can be applied in simple forecasts
  • Use R to forecast with Arima methods
  • Apply the ARIMA model development and testing process
  • Tune and assess forecasting models
  • Use Facebook Prophet
  • Build and evaluate a model using prophet
  • Understand deep learning approaches for time series modelling
  • Interpret a deep learning time series model
  • Evaluate a deep learning time series model
  • Work on a practical time series modelling problem.

Training Outline

Day 1

  • Welcome and course administration

  • Introduction to Time Series Forecasting

  • Introduction to Forecasting with ARIMA

Day 2

  • Time Series Modelling with Prophet

  • Time Series Modelling with Deep Learning

Day 3

  • Time Series Modelling Activity

Why Choose Us

Experience Time Series and Forecasting with R in Kazakhstan through Bilginç IT Academy's live and interactive virtual classroom environment. Join a Public course as an individual delegate or arrange a dedicated Private / In-house online training program exclusively for your organization.

  • Delivery Method: Online Instructor-Led
  • Participation Model: Public / Private (In-house)
  • Live and Interactive Training: Connect with your instructor in real time and actively participate through discussions, Q&A sessions, practical exercises, and group activities.
  • Flexible Participation: Join the training from your home, office, or any location with a suitable internet connection.
  • 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 professional training experience since 1995.
  • Worldwide Access: Join our live virtual classrooms from Kazakhstan or anywhere else in the world, or arrange a dedicated online training program for your organization.

Experience Time Series and Forecasting with R through face-to-face Classroom Based training in Kazakhstan. Training can be delivered as a Public course open to individual delegates or as a dedicated Private / In-house class for your organization.

  • Delivery Method: Classroom Based
  • Participation Model: Public / Private (In-house)
  • Face-to-Face Learning: Interact directly with your instructor and fellow delegates in an engaging classroom environment.
  • Experienced Trainers: Learn from specialists with extensive industry experience and practical real-world knowledge.
  • Professional Training Environment: Attend training in comfortable, well-equipped classrooms designed to support effective learning.
  • Practical Learning: Depending on the course, reinforce your knowledge through hands-on exercises, scenarios, case studies, and instructor-led activities.

Arrange Time Series and Forecasting with R in Kazakhstan as a dedicated Onsite training program for your organization. Bilginç IT Academy trainers can deliver the training at your office or another location of your choice, with the program planned around your team's requirements and business objectives.

  • Delivery Method: Onsite
  • Participation Model: Private (In-house)
  • Training at Your Preferred Location: Organize the training at your company's office or another location selected by your organization.
  • Tailored Course Content: Adapt the training program to your projects, team structure, existing skill levels, and specific business requirements.
  • Team-Focused Learning: Develop your team around a shared knowledge base while strengthening internal collaboration and knowledge transfer.
  • Flexible Scheduling: Plan the training dates, location, and program according to your organization's operational requirements.
  • Worldwide Onsite Delivery: Arrange the training in Kazakhstan or at another preferred location worldwide. Bilginç IT Academy trainers can travel to your selected location to deliver the dedicated training program.
Contact us for more detail about our trainings and for all other enquiries!

Time Series and Forecasting with 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.
05 қазан 2026 (3 Days)
Almaty, Astana, Shymkent
USD 5,400 +TAX
12 қазан 2026 (3 Days)
Almaty, Astana, Shymkent
USD 5,400 +TAX
21 қазан 2026 (3 Days)
Almaty, Astana, Shymkent
USD 5,400 +TAX
05 қараша 2026 (3 Days)
Almaty, Astana, Shymkent
USD 5,400 +TAX
08 қараша 2026 (3 Days)
Almaty, Astana, Shymkent
USD 5,400 +TAX
10 қараша 2026 (3 Days)
Almaty, Astana, Shymkent
USD 5,400 +TAX
16 қараша 2026 (3 Days)
Almaty, Astana, Shymkent
USD 5,400 +TAX
19 қараша 2026 (3 Days)
Almaty, Astana, Shymkent
USD 5,400 +TAX

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.

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