Bu eğitimi kendi kurumunuzda planlayabilirsiniz. Bize Ulaşın!

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

Eğitimlerle ilgili bilgi almak ve diğer tüm sorularınız için bize ulaşın!

Neden bizi tercih ettiniz?

Bilginç'ten daha önce eğitim aldım ve memnun kaldım.

Daha önce farklı bir kurumdan aldığım eğitimden memnun kalmadım.

Diğer

IT departmanınızda kaç kişi çalışıyor?

0 – 50

50 – 250

250 – 1000

1000+

Time Series and Forecasting with Python Eğitimi Azerbaycan

Kardeş ülke Azerbaycan (resmi adıyla Azerbaycan Cumhuriyeti) Kafkasya’da, Güney Kafkas Dağları bölgesinde bulunmaktadır. Çok zengin bir kültüren mirasa sahip olan Azerbaycan’ın, Hazar Denizi, Rusya, Gürcistan, Ermenistan ve İran gibi sınır komşuları vardır. Kafkasya’nın en büyük yüzölçümlü ülkesi olan Azerbaycan’da harika bir doğa çeşitliliği mevcut olup, hayvan yaşamının zenginliği de dikkat çekicidir. Üniter bir devlet olan Azerbaycan’ın Cumhurbaşkanı İlham Aliyev, resmi dili Azerice’dir.

Farsça Azar (Ateş) ve Payegan (Muhafız) kelimelerinin birlikteliğinden adını alan Azerbaycan Ateşler Ülkesi olarak da bilinmektedir. Bakü’de bulunan Flame Towers ülkenin en turistik yerlerinden biridir. Ülkede çok sayıda yanardağ ve petrol yatağı bulunmaktadır. Azerbaycan’ın mutlaka görülmesi gereken yerleri arasında Bakü’deki Alev Kuleleri, Kız Kalesi, Ateşgah, Targovi Caddesi ve Bakü Bulvarı’nın yanı sıra farklı şehirlerdeki Şeki Hanları Sarayı, Kobustan Milli Parkı, Han Bağı, Kebele ve Göygöl Milli Parkı sayılabilir.

Azerbaycan Time Series and Forecasting with Python Eğitimi

Yakın tarihte açılacak eğitimler

Azerbaycan Time Series and Forecasting with Python Eğitimi

Önkoşullar

Outline

Yakın tarihte açılacak eğitimler