Mastering Time Series Forecasting with Python [FREE]

Free Certification Course Title: Mastering Time Series Forecasting with Python

Learn Python, Time Series Model Additive, Multiplicative, AR, Moving Average, Exponential, ARIMA models

Mastering Time Series Forecasting with Python

What you’ll learn:

  • Python Programing
  • Basic to Advanced Time Series Methods
  • Time Series Visualization in Python
  • Auto Regressive Methods,
  • Moving Average, Exponential Moving Average
  • Linear Regression and Evaluation
  • Additive and Multiplicative Models
  • ARMA, ARIMA, SARIMA in Python
  • ACF and PACF
  • Auto ARIMA in Python
  • Stationary and Non Stationary
  • GARCH Models

Requirements:

  • Basics knowledge in Statistics
  • Basic understanding on Python
  • Should have Gmail Account and should able to open Google Drive

Who this course is for:

  • Anyone who are interested to do time series analysis and forecasting
  • Want to do advanced real time forecasting

Description:

Welcome to Mastering Time Series Forecasting in Python

Time series analysis and forecasting is one of the areas of Data Science and has a wide variety of applications in the industries in the current world. Many industries looking for a Data Scientist with these skills. This course covers all types of modeling techniques for forecasting and analysis.

We start with programming in Python which is the essential skill required and then we will exploring the fundamental time series theory to help you understand the modeling that comes afterward.

Then throughout the course, we will work with a number of Python libraries, providing you with complete training. We will use the powerful time-series functionality built into pandas, as well as other fundamental libraries such as NumPy, matplotlib, statsmodels, Sklearn, and ARCH.

With these tools we will master the most widely used models out there:

  • Additive Model
  • Multiplicative Model
  • AR (autoregressive model)
  • Simple Moving Average
  • Weighted Moving Average
  • Exponential Moving Average
  • ARMA (autoregressive-moving-average model)
  • ARIMA (autoregressive integrated moving average model)
  • Auto ARIMA

This course includes:

  • 11.5 hours on-demand video
  • 10 articles
  • 3 downloadable resources
  • Full lifetime access
  • Access on mobile and TV
  • Certificate of completion