ZeroToMastery – Time Series Forecasting with Python 2022-11 – Downloadly

Description

Time Series Forecasting with Python Course. The world is changing. Every decision should be made faster, smarter, and more accurately. And that’s 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’ll use Python to build a tool that uses time series forecasting to help Airbnb make the best, most accurate decisions and create a portfolio project to impress employers with. Time series is where you analyze data over sequential periods of time, such as days, weeks, years, business days, or really any time frame. Taking the effect of time into account is key to successful data analysis, and time series helps you understand and use it to your advantage. Forecasting You’ve probably heard of it before. Meteorology is where you tell you the weather every day. Forecasting is where you try to predict the future as accurately as possible. So time series forecasting is actually about using time series data and analytics to predict the possible future. Sounds pretty useful, right? Well, just like in meteorology, you may not be able to predict the future perfectly, but with data, tools and analytics, you can make sure that your prediction is the best and you can make your predictions with a high degree of confidence. rely on

Why should I learn by doing a project? Doing a project is one of the best ways to learn. ZTM is all about “learning by doing”. It shows you how to work in the real world and not shy away from the difficult things. In order to get your dream job, you will also need portfolio projects that will help you showcase your skills to employers. , This project will be a great addition to your portfolio that will help you impress your future employers and get your dream job.

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

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

2. SARIMAX Modeling in Python: What is SARIMAX? Well, that’s short for “Seasonal Auto-Regressive Integrated Moving Average with exogenous” factors, which we know is a mouthful (thank goodness for acronyms!). All you need to know 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 developed a superior prediction model called Silverkite! This is arguably 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 prediction 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 who want to use their Python skills in new ways
4. Programmers who want to expand their skills
5. Anyone who wants to learn how to make data-driven decisions

Details about the course “Time Series Forecasting with Python”.

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

Headlines of the course Time Series Forecasting with Python on 12.2023

Course prerequisites for time series forecasting with Python

• Basic knowledge of Python

Course pictures

Sample video of the course

Download link

Download Part 1 – 1 GB

Download Part 2 – 448 MB

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Size

1.43GB