--- product_id: 205247326 title: "Practical Time Series Analysis: Prediction with Statistics and Machine Learning" price: "VT19258" currency: VUV in_stock: true reviews_count: 13 url: https://www.desertcart.vu/products/205247326-practical-time-series-analysis-prediction-with-statistics-and-machine-learning store_origin: VU region: Vanuatu --- # Practical Time Series Analysis: Prediction with Statistics and Machine Learning **Price:** VT19258 **Availability:** ✅ In Stock ## Quick Answers - **What is this?** Practical Time Series Analysis: Prediction with Statistics and Machine Learning - **How much does it cost?** VT19258 with free shipping - **Is it available?** Yes, in stock and ready to ship - **Where can I buy it?** [www.desertcart.vu](https://www.desertcart.vu/products/205247326-practical-time-series-analysis-prediction-with-statistics-and-machine-learning) ## Best For - Customers looking for quality international products ## Why This Product - Free international shipping included - Worldwide delivery with tracking - 15-day hassle-free returns ## Description desertcart.com: Practical Time Series Analysis: Prediction with Statistics and Machine Learning: 9781492041658: Nielsen, Aileen: Books Review: Highly recommended - This book was just released and I'm only a few chapters into it, but I can already attest that it's a fantastic treatment of the topic. It reads like the book I would have written (or perhaps would have liked to have written) if I were to pen a volume on time series analysis. It's a long overdue contribution to the subject, and I'm happy to see it executed so well. It's very well organized and written in an approachable style, yet does not shy away from the details. It's clear that the author has a great deal of practical, applied experience and has "been there, done that." For example, the chapter on data cleaning impressed me not only because she has the kind of background that impresses on one the importance of clean data, but also because the discussion mirrored many of the hard-earned lessons that I've wrestled with over the years. If you're interested in time series analysis as more than a purely academic exercise, you would be well placed to have this book on your bookshelf (or in your Kindle library, as the case may be). I highly recommend it. Review: This Was Better Than My Actual Graduate Time Series Course - I'm about halfway through this book but it is a very easy read and great introduction into time series. A lot of books assume prior knowledge but this one feels like it takes many books and puts them together. It feels like three main segments: an intro to what time series is and the data processing steps, then the introduction of various models and forecasting, and the last segment being the application into machine learning. This is a very great read and I'm happy I purchased it. I would also like to say that those that complain about the book being written in 2 languages. This is not the book for you if you find it a burden to switch between R and Python. Do not use this book as a beginners guide to programming. That's not its purpose. In my opinion the book isn't hindered by using both but is better because you understand the significance of the libraries being widely available. Each language has its benefits and cons. And in my own career I've switched between both. ## Technical Specifications | Specification | Value | |---------------|-------| | Best Sellers Rank | #410,952 in Books ( See Top 100 in Books ) #114 in Data Modeling & Design (Books) #171 in Data Processing #301 in Probability & Statistics (Books) | | Customer Reviews | 4.2 4.2 out of 5 stars (140) | | Dimensions | 7 x 1 x 9.25 inches | | Edition | 1st | | ISBN-10 | 1492041653 | | ISBN-13 | 978-1492041658 | | Item Weight | 2.31 pounds | | Language | English | | Print length | 497 pages | | Publication date | November 19, 2019 | | Publisher | O'Reilly Media | ## Images ![Practical Time Series Analysis: Prediction with Statistics and Machine Learning - Image 1](https://m.media-amazon.com/images/I/91vNT0C2lrL.jpg) ## Customer Reviews ### ⭐⭐⭐⭐⭐ Highly recommended *by C***N on November 5, 2019* This book was just released and I'm only a few chapters into it, but I can already attest that it's a fantastic treatment of the topic. It reads like the book I would have written (or perhaps would have liked to have written) if I were to pen a volume on time series analysis. It's a long overdue contribution to the subject, and I'm happy to see it executed so well. It's very well organized and written in an approachable style, yet does not shy away from the details. It's clear that the author has a great deal of practical, applied experience and has "been there, done that." For example, the chapter on data cleaning impressed me not only because she has the kind of background that impresses on one the importance of clean data, but also because the discussion mirrored many of the hard-earned lessons that I've wrestled with over the years. If you're interested in time series analysis as more than a purely academic exercise, you would be well placed to have this book on your bookshelf (or in your Kindle library, as the case may be). I highly recommend it. ### ⭐⭐⭐⭐⭐ This Was Better Than My Actual Graduate Time Series Course *by E***Z on January 11, 2020* I'm about halfway through this book but it is a very easy read and great introduction into time series. A lot of books assume prior knowledge but this one feels like it takes many books and puts them together. It feels like three main segments: an intro to what time series is and the data processing steps, then the introduction of various models and forecasting, and the last segment being the application into machine learning. This is a very great read and I'm happy I purchased it. I would also like to say that those that complain about the book being written in 2 languages. This is not the book for you if you find it a burden to switch between R and Python. Do not use this book as a beginners guide to programming. That's not its purpose. In my opinion the book isn't hindered by using both but is better because you understand the significance of the libraries being widely available. Each language has its benefits and cons. And in my own career I've switched between both. ### ⭐⭐⭐ Not as good as it should be :( *by J***T on January 23, 2026* Difficult to have an higher opinion of the book. The global feeling is that the content has not been reviewed with the care needed for such topics. The author blended very superficial mathematical explanation for several approaches, with more detailed maths for others. Same comment for the R vs. Python code examples. And I found also the tendency to illustrate the content with examples and codes producing very very low performing models. It is often a tendency now to have people including into their books codes that produce something that ... does not work, or works with very low performance. And the excuse is always the same : "we should spend more time on the days or the model....". If they know that their chosen examples do not work good, they should have not included them in their book, or do a better job. So, at the end, I read this book cover-to-cover, and I really do not understand how si many people have rated it so high. ## Frequently Bought Together - Practical Time Series Analysis: Prediction with Statistics and Machine Learning - Time Series Forecasting in Python - Forecasting: Principles and Practice --- ## Why Shop on Desertcart? - 🛒 **Trusted by 1.3+ Million Shoppers** — Serving international shoppers since 2016 - 🌍 **Shop Globally** — Access 737+ million products across 21 categories - 💰 **No Hidden Fees** — All customs, duties, and taxes included in the price - 🔄 **15-Day Free Returns** — Hassle-free returns (30 days for PRO members) - 🔒 **Secure Payments** — Trusted payment options with buyer protection - ⭐ **TrustPilot Rated 4.5/5** — Based on 8,000+ happy customer reviews **Shop now:** [https://www.desertcart.vu/products/205247326-practical-time-series-analysis-prediction-with-statistics-and-machine-learning](https://www.desertcart.vu/products/205247326-practical-time-series-analysis-prediction-with-statistics-and-machine-learning) --- *Product available on Desertcart Vanuatu* *Store origin: VU* *Last updated: 2026-05-16*