Time Series & Forecasting

Study sheet

Time series analysis involves analyzing data points collected sequentially over time. Learners will understand how to identify trends, seasonal patterns, and noise, and apply forecasting models to predict future values in temporal datasets.

8 resources

Level

Language

Type

🎓Courses(2)

course👁️ 0

Practical Time Series Analysis

Welcome to Practical Time Series Analysis! Many of us are "accidental" data analysts. We trained in the sciences, business, or engineering and then found ourselves confronted with data for which we have no formal analytic training. This course is designed for people with some technical competencies who would like more than a "cookbook" approach, but who still need to concentrate on the routine sorts of presentation and analysis that deepen the understanding of our professional topics. In practical Time Series Analysis we look at data sets that represent sequential information, such as stock prices, annual rainfall, sunspot activity, the price of agricultural products, and more. We look at several mathematical models that might be used to describe the processes which generate these types of data. We also look at graphical representations that provide insights into our data. Finally, we also learn how to make forecasts that say intelligent things about what we might expect in the future. Please take a few minutes to explore the course site. You will find video lectures with supporting written materials as well as quizzes to help emphasize important points. The language for the course is R, a free implementation of the S language. It is a professional environment and fairly easy to learn. You can discuss material from the course with your fellow learners. Please take a moment to introduce yourself! Time Series Analysis can take effort to learn- we have tried to present those ideas that are "mission critical" in a way where you understand enough of the math to fell satisfied while also being immediately productive. We hope you enjoy the class!

intermediate🇬🇧

course👁️ 0

Time Series

Coursera course: Introduction to Time Series

intermediate🇬🇧

📚Books(2)

book👁️ 0

Forecasting: Principles and Practice

Forecasting: Principles and Practice - A book resource

intermediate🇬🇧

book👁️ 0

Time Series Analysis

Time Series Analysis - A book resource

intermediate🇬🇧

🌐Websites(4)

website👁️ 0

Prophet Documentation

Official guide for Facebook's Prophet forecasting tool

beginner🇬🇧

website👁️ 0

otexts.com/fpp3

An online textbook that teaches time series forecasting with practical, code-driven examples in R. It covers forecasting methods (ETS, ARIMA, regression with time series), model evaluation, and case studies with hands-on tutorials using the fpp3 R package.

intermediate🇬🇧

website👁️ 0

nixtla.io

Nixtla.io is a resource hub for time-series forecasting, offering tutorials, guides, and links to open-source forecasting tools. It provides practical examples and documentation to learn building and evaluating forecasting models.

intermediate🇬🇧

website👁️ 0

forecastingprinciples.com

Forecasting Principles is an online resource that teaches time series forecasting through clear explanations and practical examples. It covers key methods (exponential smoothing, ARIMA, seasonal models) and provides runnable code and case studies to apply forecasting techniques.

intermediate🇬🇧

Frequently Asked Questions

What are the best free resources to learn Time Series & Forecasting?

Dantes has curated 8 resources for Time Series & Forecasting, including 2 books, 2 courses, 4 websites. All resources are hand-picked for quality — no algorithmic filler. Browse the full list above to find the format that works best for you.

Is Time Series & Forecasting hard to learn?

Time Series & Forecasting is approachable at the beginner level — there are resources here specifically for those starting from scratch. As you progress, intermediate and advanced material is also available to take your skills further.

What types of Time Series & Forecasting learning resources are available on Dantes?

For Time Series & Forecasting, Dantes has curated 2 books, 2 courses, 4 websites. Each resource type serves a different learning style: videos and YouTube for visual learners, books for depth, courses for structured progression, and websites for quick reference.

How does Dantes select Time Series & Forecasting resources?

Dantes is an algorithm-free learning directory. Resources are hand-curated based on quality, accuracy, and usefulness — not engagement metrics or paid placements. The goal is to surface the best learning material for Time Series & Forecasting, whether it's a free YouTube series, a classic textbook, or an open courseware from a top university.

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