ZeroToMastery – Time Series Forecasting with Python

ZeroToMastery – Time Series Forecasting with Python Free Download. This project-based course will put you in the role of a Business Data Analyst at Airbnb tasked with predicting demand for Airbnb property bookings in New York

ZeroToMastery – Time Series Forecasting with Python Description

This project-based course will put you in the role of a Business Data Analyst at Airbnb tasked with predicting demand for Airbnb property bookings in New York. To accomplish this goal, you’ll use the Python programming language to build a powerful tool that utilizes the magic of time series forecasting.

The world is changing. Every decision must be made faster, smarter, and more accurately. And that’s possible with business data analysis. 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 predicting demand for Airbnb properties in New York. You’ll use Python to build a tool utilizing time series forecasting to help Airbnb make the best, most accurate decision, and have a portfolio project that you can use to impress employers.

WHAT YOU’LL LEARN in Time Series Forecasting with Python course

How to utilize the power of time series forecasting to predict the future
How to use the four most relevant forecasting models used by Business Data Analysts today
Practice the day-to-day skills needed for Business Data Analysis
Build an impressive project to add to your portfolio to help you get hired
Enhance your proficiency with Python, one of the most popular programming languages

What Will I Learn In This Project?

With Time Series Forecasting with Python course’s project you’ll learn the four most relevant forecasting models used by Business Data Analysts today including the latest tools needed to utilize them.

But there’s more. Through this project you’ll also learn about:

1. Facebook Prophet: a tool developed by Meta (Facebook) for producing reliable forecasts that assist with planning and setting business goals.

2. SARIMAX Modeling in Python: what is SARIMAX? Well it stands 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 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 developed a top forecasting model as well, called Silverkite! This is arguably even better than Facebook Prophet, though each have their uses. It uses automated modeling to make forecasts better and more accurate.

4. Recurrent Neural Networks: learn and utilize cutting-edge neural networks as they are applied to time series, including Long Short-Term Memory, a deep learning forecasting model that is highly marketable and sought-after!

5. The Ensemble Methodology: a common forecasting methodology that combines forecasts from multiple models to improve accuracy.

One of the best parts of this project (and all ZTM courses) is that you won’t be learning alone.

By enrolling today, you’ll also get to join our exclusive live online community classroom to learn alongside thousands of students, alumni, mentors, TAs and Instructors.