A brief overview of key concepts for analyzing Time Series Data.

Key Concepts of Analytics

Brief Introduction of Time Series Analysis concepts , Handling Date-Time , Creating Visualizing and Preprocessing Time Series Data with R

Brief introduction of Time Series Concepts , Creation of Time Series , Preprocessing and Visualizing Time Series with R

In this Chapter we will cover key concepts of Time Series Analysis : 1. White Noise Time Series 2. Random Walk Time Series 3. Stationarity 4. Seasonality 5 Auto correlation 6 Partial Auto correlation

This chapter provides a brief introduction to Time Series data , it's applications and steps involved in preparing Time Series Data for Analysis and Modeling. We will use Python as the core package to perform Time Series Analysis.

Basics of R for Data Science