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Time Series Analysis and Forecasting using Python

Learn about time series analysis & forecasting models in Python |Time Data Visualization|AR|MA|ARIMA|Regression| ANN

Description

You're looking for a complete course on Time Series Forecasting to drive business decisions involving production schedules, inventory management, manpower planning, and many other parts of the business., right?

You've found the right Time Series Analysis and Forecasting course. This course teaches you everything you need to know about different forecasting models and how to implement these models in Python.

After completing this course you will be able to:

  • Implement time series forecasting models such as AutoRegression, Moving Average, ARIMA, SARIMA etc.

  • Implement multivariate forecasting models based on Linear regression and Neural Networks.

  • Confidently practice, discuss and understand different Forecasting models used by organizations

How this course will help you?

A Verifiable Certificate of Completion is presented to all students who undertake this Marketing Analytics: Forecasting Models with Excel course.

If you are a business manager or an executive, or a student who wants to learn and apply forecasting models in real world problems of business, this course will give you a solid base by teaching you the most popular forecasting models and how to implement it.

Why should you choose this course?

We believe in teaching by example. This course is no exception. Every Section’s primary focus is to teach you the concepts through how-to examples. Each section has the following components:

  • Theoretical concepts and use cases of different forecasting models

  • Step-by-step instructions on implement forecasting models in Python

  • Downloadable Code files containing data and solutions used in each lecture

  • Class notes and assignments to revise and practice the concepts

The practical classes where we create the model for each of these strategies is something which differentiates this course from any other course available online.

Who this course is for:

  • People pursuing a career in data science
  • Working Professionals beginning their Machine Learning journey
  • Statisticians needing more practical experience
  • Anyone curious to master Time Series Analysis using Python in short span of time

Goals

  • Get a solid understanding of Time Series Analysis and Forecasting
  • Understand the business scenarios where Time Series Analysis is applicable
  • Building 5 different Time Series Forecasting Models in Python
  • Learn about Auto regression and Moving average Models
  • Learn about ARIMA and SARIMA models for forecasting
  • Use Pandas DataFrames to manipulate Time Series data and make statistical computations.

Prerequisites

  • Students will need to install Python and Anaconda software but we have a separate lecture to help you install the sameStudents will need to install Python and Anaconda software but we have a separate lecture to help you install the same
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Curriculum

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    Feedbacks (1)

  • Quazi Faruq
    Quazi Faruq

    It is good to work with easy-to-understand step-by-step instructions. Also, good to have the data set to practice on my own time. There is limitation too. It is hard to get instant feedback from human interaction when I am stuck.

Time Series Analysis and Forecasting using Python
This Course Includes
  • 13 hours
  • 94 Lectures
  • 2 Resources
  • Completion Certificate
  • Lifetime Access
  • 30-Days Money Back Guarantee

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