Udemy – Time Series Analysis and Forecasting using Python 2024-5

Published on: 2024-10-03 11:29:13

Categories: 28

Description

Time Series Analysis and Forecasting using Python is a training course on understanding and using time series analysis techniques published by Udemy Online Academy. Time Series Analysis and Forecasting using Python is a comprehensive course that aims to help learners understand and apply time series analysis techniques to real-world data. This course covers the basics of time series such as trends, seasonality and noise, while also covering essential Python libraries such as Pandas, NumPy and Statsmodels for data manipulation and analysis. Learners will explore various forecasting methods, including moving averages, ARIMA, and exponential smoothing, gaining hands-on experience through hands-on projects.

This course provides an understanding of time series fundamentals such as trends, seasonality and noise, while covering key Python libraries such as Pandas, NumPy and Statsmodels for data manipulation. The curriculum focuses on the application of statistical models and machine learning techniques to predict future values, and provides insights into how to effectively interpret and visualize time series data. At the end of the course, participants will be equipped with the skills to perform time series forecasting using Python, helping them make informed decisions based on data-driven forecasts.

What you will learn in the Time Series Analysis and Forecasting using Python course:

Thorough understanding of time series analysis and forecasting
Building 5 different time series prediction models in Python
Autoregression and moving average models
ARIMA and SARIMA models for forecasting
Using Pandas DataFrames to manipulate time series data and perform statistical calculations
and…

Profile courses:

Publisher: Udemy
Instructor: Start-Tech Academy
Level: Introductory
Number of courses: 104
Training duration: 13 hours and 24 minutes
Language: English

Course headings

Prerequisite course

Students will need to install Python and Anaconda software but we have a separate lecture to help you install the sameStudents will need to install Python and Anaconda software but we have a separate lecture to help you install the same