We can host this training at your preferred location. Contact us!

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)

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.

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 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+

Upcoming Trainings

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

20 tammikuuta 2025 (3 Days)
Helsinki, Espoo
Classroom / Virtual Classroom

€2,463 +VAT
Book Now

29 tammikuuta 2025 (3 Days)
Helsinki, Espoo
Classroom / Virtual Classroom

€2,463 +VAT
Book Now

20 tammikuuta 2025 (3 Days)
Helsinki, Espoo
Classroom / Virtual Classroom

€2,463 +VAT
Book Now

29 tammikuuta 2025 (3 Days)
Helsinki, Espoo
Classroom / Virtual Classroom

€2,463 +VAT
Book Now

03 maaliskuuta 2025 (3 Days)
Helsinki, Espoo
Classroom / Virtual Classroom

05 maaliskuuta 2025 (3 Days)
Helsinki, Espoo
Classroom / Virtual Classroom

24 maaliskuuta 2025 (3 Days)
Helsinki, Espoo
Classroom / Virtual Classroom

03 maaliskuuta 2025 (3 Days)
Helsinki, Espoo
Classroom / Virtual Classroom

Time Series and Forecasting with Python Training Course in Finland

Finland is a country located in northern Europe. Helsinki is the capital and largest city of the country. The majority of the people are Finns but there is also a small Lapp population in Lapland, where the country is famous for the Northern Lights. Finland's national languages are Finnish and Swedish.

Known for its vast forests, lakes, and natural beauty, Finland is one of the world's largest producers of forest products, such as paper, pulp, and lumber. One of the world's largest sea fortresses Suomenlinna, Rovaniemi with the "White Nights", dogsled safaris and of course the Northern Lights are what makes Finland so popular for tourists. Finland is one of the best places in the world to see the Northern Lights and attracts millions of tourists during its seasons.

Finland is home to a thriving technology industry and is widely recognized as one of the world's leading technology hubs. Companies such as Nokia and Rovio (creator of the popular game Angry Birds) are based in Finland. Some of the key factors that have contributed to Finland's success in technology include; strong investment in research and development, a highly educated workforce and fundings.

Finland has a strong educational system, and is widely regarded as one of the world's most literate countries. In fact, Finland's literacy rate is one of the highest in the world, and its students consistently perform well in international tests of math and reading ability.

Also, as a pioneer in environmental sustainability, Finland is known for its efforts to reduce its carbon footprint and promote clean energy. This Nordic country is also famous for its unique and distinctive cultural heritage, including its traditional folk music and its elaborate traditional costumes.

Helsinki, Finland's capital city, is the country's business center. Helsinki is Finland's largest city, and it is home to many of the country's major corporations and organizations, including many of the country's leading technology firms. The city is also a commercial, trade, and financial center, as well as one of the busiest ports in the Nordic region.

Take advantage of our diverse IT course offerings, spanning programming, software development, business skills, data science, cybersecurity, cloud computing and virtualization. Our knowledgeable instructors will provide you with practical training and industry insights, delivered directly to your chosen venue in Finland.

Time Series and Forecasting with Python Training in Finland

Prerequisites

Outline

Upcoming Trainings