Download ZeroToMastery – Time Series Forecasting with Python 2022-11

Description

Time Series Forecasting with Python course. The world is changing. Every decision should be made faster, smarter and more accurately. And this is possible with business data analytics. You’ll learn new skills and put them to the test in this project that puts you in the hypothetical scenario of a business data analyst at Airbnb tasked with forecasting demand for Airbnb properties in New York. You will use Python to build a tool using time series forecasting to help Airbnb make the best and most accurate decisions and have a portfolio project that you can use to impress employers. A time series is where you analyze data over consecutive time periods, such as days, weeks, years, business days, or really any time frame. Considering the effect of time is key to successful data analysis, and time series help you understand it and use it to your advantage. Forecasting You’ve probably heard of it before. Meteorology predicts the weather for you every day. What you’re doing when forecasting is trying to predict the future as accurately as possible. So time series forecasting is actually about using time series data and analysis to predict the possible future. Sounds pretty useful, right? Well, just like weather, you may not be able to predict the future perfectly, but with data, tools, and analytics you can make sure your forecast is the best and you can make your predictions with a high degree of confidence. rely on

Why should I learn by making a project? Making a project is one of the best ways to learn. At ZTM, we’re all about learning by doing. It teaches you how to work in the real world and not shy away from the hard stuff. Plus, to land your dream job, you’ll need portfolio projects that you can use to showcase your skills to employers. . This project will be a great addition to your portfolio that you can use to impress your future employers and land your dream job.

What will I learn in this project? With this project, you will learn four relevant forecasting models used by business data analysts today, including the latest tools needed to use them. But there are more. Through this project, you will also learn about the following:

1. Facebook: It is a tool provided by Meta (Facebook) to generate reliable forecasts that help in planning and setting business goals.

2. SARIMAX Modeling in Python: What is SARIMAX? Well, this acronym stands for “Seasonal Auto-Regressive Integrated Moving Average with eXogenous” factors that we know are a mouthful (thank God for acronyms!). All you need to know for now is that SARIMAX is a great tool for time series analysis and is part of the ARIMA family of models.

3. LinkedIn Silverkite: LinkedIn has also created a superior predictive model called Silverkite! Arguably, this is even better than Facebook Prophet, although each has its uses. It uses automated modeling to make predictions better and more accurate.

4. Recurrent Neural Networks: Learn and use advanced neural networks as applied to time series, including long short-term memory, a highly marketable and searchable deep learning predictive model!

What you will learn in the Time Series Forecasting with Python course

This course is suitable for people who

1. Anyone who wants to become a business data analyst
2. Existing business data analysts who want to practice and improve their skills
3. Developers looking to use their Python knowledge in new ways
4. Programmers who want to skillstack
5. Anyone interested in learning how to make data-driven decisions

Details of the Time Series Forecasting with Python course

• Publisher: ZeroToMastery
• teacher: Diogo Resende
• Training level: beginner to advanced
• Training duration: 8 hours and 47 minutes
• Number of courses: 124

Headlines of the Time Series Forecasting with Python course on 12/2023

Time Series Forecasting with Python course prerequisites

• Basic knowledge of Python

Course images

Sample video of the course

download link

Download part 1 – 1 GB

Download part 2 – 448 MB

File(s) password: www.downloadly.ir

Size

1.43 GB