Time Series and Forecasting with Python Training in Greece

  • Delivery Method: Online Instructor-Led / Classroom Based / Onsite
  • Participation Model: Public Training / Private / In-House Training
  • Duration: 3 Days
  • Level: Expert
  • Price: From €4,800 +TAX
  • Upcoming Date:

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 generally 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 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 Python, and simple data analysis.

They may be Mid/Senior Leadership seeking a greater understanding of how to implement Data Science 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.

In the latter case, audience members may ask for recommendations for their next steps in training towards becoming Data Scientists. We recommend the following refreshed courses which are due to launch in 2023 and 2024 in this suggested sequence:

  • Maths and Statistics for Data Science with Python
  • Practical Big Data Analytics (with Python and Spark)
  • Generative AI Essentials
  • Fundamentals of Deep Learning with Python (followed by selected Python & NVIDIA training)



Prerequisites

We recommend that delegates are familiar with fundamental data science concepts, such as those found on our QA Introduction to Data Science for Data Professionals, as well as programming techniques found in QA Python for Data Handling. You should also have an interest in developing Data Science within your organisation or in becoming a Data Scientist.


Training Outline

1. Introduction to Time Series Forecasting

  • Interpreting 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

2. Introduction to Forecasting with ARIMA

  • Use of Python to forecast with Arima methods
  • Model development and testing process
  • Tuning and assessing the forecasting model

3. Time Series Modelling with Prophet

  • Exploration of Facebook Prophet
  • Build and evaluate a model using prophet

4. Time Series Modelling with Deep Learning

  • Understand deep learning approaches for time series modelling
  • Build a deep learning time series model
  • Evaluate a deep learning time series model

5. Time Series Modelling Activity

Why Choose Us

Leading UK-based global training provider since 1995.

Experience Time Series and Forecasting with Python in Greece 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 Greece or anywhere else in the world, or arrange a dedicated online training program for your organization.

Experience Time Series and Forecasting with Python through face-to-face Classroom Based training in Greece. 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 Python in Greece 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 Greece 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 Python Training Course in Greece Schedule

Join our public live virtual trainings remotely from Greece. Private group trainings can also be organized at your preferred location in Greece, around your schedule.

For corporate groups, we can organize this training as an on-site private group.
22 Οκτωβρίου 2026 (3 Days)
Athens, Thessaloniki
€4,800 +TAX
01 Νοεμβρίου 2026 (3 Days)
Athens, Thessaloniki
€4,800 +TAX
16 Νοεμβρίου 2026 (3 Days)
Athens, Thessaloniki
€4,800 +TAX
18 Νοεμβρίου 2026 (3 Days)
Athens, Thessaloniki
€4,800 +TAX
24 Νοεμβρίου 2026 (3 Days)
Athens, Thessaloniki
€4,800 +TAX
01 Δεκεμβρίου 2026 (3 Days)
Athens, Thessaloniki
€4,800 +TAX
25 Ιανουαρίου 2027 (3 Days)
Athens, Thessaloniki
€4,800 +TAX
19 Φεβρουαρίου 2027 (3 Days)
Athens, Thessaloniki
€4,800 +TAX

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