Tutors

DataTrained

PROGRAM OVERVIEW

What you'll learn

  1. Master time series data in python & become proficient in time series data analysis
  2. Learn how to use python-based packages for time series analysis
  3. Be able to read in, pre-process & visualize time series data
  4. Apply python data science techniques to real-life data
  5. Implement common data processing and visualization techniques for time series data in python

CURRICULUM

  Introduction

  • Introduction to Time series analysis
  • Examples and Applications

  Time Series Components

  • Time Series Components
  • Time Series Visualization
  • Seasonal Decompose

  Stationarity

  • Stationarity
  • Stationarity Test with Code

  Time Series Models

  • Models Introduction
  • Moving Average Model
  • Auto Regression Model
  • ARIMA Model
  • ACF and PACF Plots
  • MA Model (Code)
  • SARIMA Model
  • AR Model (Code)
  • ARIMA Model (Code)
  • VAR Model
  • VAR Model

  Model Evaluation

  • Model Evaluation (Information Criteria)
  • Residual Analysis

  Use Case and Assignment

  • Use Case
  • Assignment

  Projects

  • Project 1 (objective)
  • Project 1 (Solution)
  • Project 2 (Objective)
  • Project 2 (Solution)