Time Series Analysis And Forecasting Using Python

Time Series Analysis And Forecasting Using Python is a comprehensive Time Series Forecasting course that helps you make decisions on how to manage your inventory, plan your workforce, and many other business-related tasks.

The course offers training on time series analysis and forecasting needed to know about various forecasting models and how to use them in Python.

Time Series Analysis And Forecasting Using Python Overview

This online course will teach you how to implement time series forecasting models such as AutoRegression, Moving Average, ARIMA, SARIMA, etc. You will also learn how to implement multivariate forecasting models based on Linear regression and Neural Networks. By the end of the course, you will be able to confidently practice, discuss, and understand different Forecasting models used by organizations

How this course will help you?

All participants in this course receive a Verifiable Certificate of Completion.

This course will provide you with a solid foundation by instructing you on the most popular forecasting models. It teaches how to use them if you're a business manager, executive, or student who wants to study and apply forecasting models in real-world business situations.

Why should you choose this course?

The course walks you through the curriculum by teaching with examples. The main goal of each Part is to teach you the ideas through practical examples. Each section has the following components:

• Use cases and theoretical concepts of various forecasting models

• Detailed instructions for putting forecasting models into practice in Python

• Downloadable code files with data and solutions from each lecture

• Lecture notes and assignments to review and apply the principles

This course stands out from other online courses due to the practical classes where we develop the models for each of these tactics.

Who this course is for:

• Individuals who want to work in data science

• Professionals in the workforce just starting their machine learning career

• Statisticians should gain more relevant experience.

• Anyone who desires to quickly learn Time Series Analysis using Python