Nulled Udemy – Practical Python for Time Series Analysis & Modelling 2024-8

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Udemy – Practical Python for Time Series Analysis & Modelling 2024-8

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Description

Practical Python course for Time Series Analysis & Modeling. Do you want to master time series analysis and modeling using Python? This course is suitable for you. Using practical examples from the energy field, you’ll learn how to work with temporal data, identify patterns, and make accurate predictions.

What you will learn in Practical Python for Time Series Analysis & Modeling course

• Time Data Preprocessing and Visualization: Learn how to clean and prepare your data for detailed analysis and create charts that make it easier to spot trends and patterns.
• Time Series Analysis: Understand how to separate trend, seasonal, and noise components in additive and multiplicative models.
• Ensuring Stationary and Chapter Management: Discover key techniques to transform your data and make modeling easier.
• Application of statistical models and deep learning: Develop robust predictive models using traditional statistical methods and advanced neural network techniques.
• Evaluate and improve your models: Use error metrics and data scaling techniques to increase the accuracy of your predictions.

This course is suitable for people who

• Data Analysts and Scientists: Those who want to deepen their understanding of time series analysis and apply this knowledge to real-world projects.
• Energy professionals: Those who need to optimize resource management and forecasting using historical data and predictive models.
• Data analysis students and enthusiasts: Those who want to specialize in one of the most popular fields and learn practical techniques that can be used in various industries.

Course details

• Publisher:  Udemy
• Teacher:  Jesus Lopez
• Training level: beginner to advanced
• Training duration: 2 hours and 26 minutes
• Number of courses: 36

Course headings

 

Practical Python for Time Series Analysis & Modeling course prerequisites

• We’ll explain everything step by step, starting from blank notebooks. Therefore, any beginner can take the course. However, if you’re already familiar with Python or data analysis, you’ll progress more comfortably.

Course images

Sample video of the course

Installation guide

After Extract, view with your favorite Player.

Subtitle: None

Quality: 720p

download link

Download part 1 – 1 GB

Download part 2 – 304 MB

File(s) password: www.downloadly.ir

File size

1.3 GB