Description
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 overwhelming and awe-inspiring. Companies always provide revenue and EBIT growth estimates based on forecasts. In this training course, you will be introduced to all the topics of time series analysis and will be able to do it in the best possible way using Python.
In this course, you will learn methods such as Holt-Winters, TensorFlow structured time series, ensemble approach, SARIMAX, and more. In addition to theoretical videos, this course contains many projects and practical exercises that will help you gain hands-on experience in time series analysis in Python. For every algorithm there is a problem. This means that each technique has 2 case studies. The goal is to immediately apply what you learn. This training course is recommended for business analysts who want to improve their forecasting skills and techniques, marketing professionals, and operations managers who want to improve their planning and forecasting.
What you’ll 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
- Implementing Holt-Winters exponential smoothing in Python
- Understanding the assumptions and limitations of various time series forecasting models in Python
- AND…
Course characteristics
Publisher: Udemy
Instructors: Diogo Alves de Resende
English language
Level: Introductory
Number of lessons: 123
Duration: 8 hours 11 minutes
Course topics for 2024/5
Forecasting Models and Time Series for Business in Python
Basic statistics: linear regression, p-value.
Basic Python required
Images
Introductory video: Forecasting Models and Time Series for Business in Python
installation instructions
Once extracted, watch on your favorite player.
English subtitles
Quality: 720p
Download link
File password(s): free download software
size
2.8 GB