Open Daily: 10am - 10pm | Alley door pickup 10am - 7pm 3038 Hennepin Ave Minneapolis, MN
612-822-4611

  • Open Daily: 10am - 10pm
    Alley-side Pickup: 10am - 7pm

    3038 Hennepin Ave Minneapolis, MN
    612-822-4611

Open Daily: 10am - 10pm | Alley-side Pickup: 10am - 7pm
3038 Hennepin Ave Minneapolis, MN
612-822-4611
Time Series with Python: How to Implement Time Series Analysis and Forecasting Using Python

Time Series with Python: How to Implement Time Series Analysis and Forecasting Using Python

Mather, Bob

Paperback

Probability & StatisticsProgramming

ISBN10: 0648783081
ISBN13: 9780648783084
Publisher: Bob Mather
Published: Apr 13 2020
Pages: 222
Weight: 0.59
Height: 0.47 Width: 5.83 Depth: 8.27
Language: English

Are you looking to learn more about Time Series, but struggling to find them in traditional Data Science textbooks?

This book is your answer.


Time Series is an exciting and important part of Data Analysis. Time Series Data is more readily available than most forms of data and answers questions that cross-sectional data struggle to do. It also has more real world application in the prediction of future events. However it is not generally found in a traditional data science toolkit. There is also limited centralized resources on the applications of Time Series, especially using traditional programming languages such as Python.

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