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.

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. Contact Us!

Prerequisites

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

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 Greece 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 from Greece and worldwide, with flexible planning options for individual and corporate training needs.

Experience Time Series and Forecasting with R in a focused classroom environment in Greece. 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 Time Series and Forecasting with R in Greece 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+

Time Series and Forecasting with R Training in Greece

Prerequisites

What You Will Learn

Training Outline

Why Choose Us

Time Series and Forecasting with R Training Course in Greece Schedule

Time Series and Forecasting with R Training in Greece

Prerequisites

What You Will Learn

Training Outline

Why Choose Us

Online Instructor-Led Training (VILT)

Classroom-Based Training

Onsite / In-House Training

Time Series and Forecasting with R Training Course in Greece Schedule