Udemy – Forecasting Models and Time Series for Business in Python 2022-6
Udemy – Forecasting Models and Time Series for Business in Python 2022-6 Downloadly IRSpace
Forecasting Models and Time Series for Business in Python is a training course on time series analysis in Python published by Udemy Online Academy. In this training course, you will learn everything you need to understand the present and predict the future. Knowing what will happen is usually jaw-dropping and awe-inspiring. Companies always deliver revenue growth and EBIT estimates that are based on forecasts. During this training course, you will be familiar with all topics of time series analysis and you will be able to do it in the best way using Python.
In this course, you will learn techniques such as Holt-Winters, TensorFlow structured time series, ensemble approach, SARIMAX and more. In addition to theory videos, this course has a variety of projects and practical exercises that will help you gain practical experience in time series analysis in Python. There is a challenge for every algorithm. This means that each technique has 2 case studies. The goal is to immediately apply what you’ve learned. This training course is recommended for business analysts looking to improve forecasting skills and techniques, marketing professionals and operational managers looking to improve planning and forecasting.
What you will learn in Forecasting Models and Time Series for Business in Python:
- Time series analysis to identify patterns and trends
- Development of demand forecasting and planning models
- Implementation of Holt-Winters exponential smoothing in Python
- Understanding the assumptions and limitations of different time series forecasting models in Python
- And …
Course specifications
Publisher: Udemy
Instructors: Diogo Alves de Resende
Language: English
Level: Introductory
Number of Lessons: 123
Duration: 8 hours and 11 minutes
Course topics on 2024/5

Forecasting Models and Time Series for Business in Python Prerequisites
Basic Statistics: Linear regression, p-value
Basic Python desirable
Pictures

Forecasting Models and Time Series for Business in Python introduction video
Installation guide
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English subtitle
Quality: 720p
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Size
2.8 GB
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