Time Series Analysis and Forecasting using Python [FREE]

Free Certification Course Title: Time Series Analysis and Forecasting using Python

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

Time Series Analysis and Forecasting using Python

What you’ll learn:

  • 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

Requirements:

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

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

After completing this course you will be able to:

  • Implement time series forecasting and time series analysis models such as AutoRegression, Moving Average, ARIMA, SARIMA etc.
  • Implement multivariate time series forecasting models based on Linear regression and Neural Networks.
  • Confidently practice, discuss and understand different time series forecasting, time series analysis models and Python time series techniques used by organizations

This course includes:

  • 13.5 hours on-demand video
  • 4 articles
  • 3 downloadable resources
  • Full lifetime access
  • Access on mobile and TV