Description

A time series is a sequence of observations over a certain period. The simplest example of a time series that all of us come across on a day to day basis is the change in temperature throughout the day or week or month or year.

The analysis of temporal data is capable of giving us useful insights on how a variable changes over time.

This tutorial will teach you how to analyze and forecast time series data with the help of various statistical and machine learning models in elaborate and easy to understand way!

This tutorial is for the inquisitive minds who are looking to understand time series and time series forecasting models from scratch. At the end of this tutorial you will have a good understanding on time series modelling.

This tutorial only assumes a preliminary understanding of Python language. Although this tutorial is self-contained, it will be useful if you have understanding of statistical mathematics.

If you are new to either Python or Statistics, we suggest you to pick up a tutorial based on these subjects first before you embark on your journey with Time Series.

What you'll learn

Become a UX designer.

You will be able to add UX designer to your CV

Become a UI designer.

Build & test a full website design.

Create your first UX brief & persona.

How to use premade UI kits.

Create quick wireframes.

Downloadable exercise files

Build a UX project from beginning to end.

Learn to design websites & mobile phone apps.

All the techniques used by UX professionals

You will be able to talk correctly with other UX design.

Requirements

  • You will need a copy of Adobe XD 2019 or above. A free trial can be downloaded from Adobe.
  • No previous design experience is needed.
  • No previous Adobe XD skills are needed.

Course Content

Time Series Tutorial
Time Series Introduction
Time Series Programming Languages
Time Series Python Libraries
Time Series Data Processing and Visualization
Time Series Modeling
Time Series Parameter Calibration
Time Series Naive Methods
Time Series Auto Regression
Time Series Moving Average
Time Series ARIMA
Time Series Variations of ARIMA
Time Series Exponential Smoothing
Time Series Walk Forward Validation
Time Series Prophet Model
Time Series LSTM Model
Time Series Error Metrics
Time Series Applications
Time Series Further Scope
Time Series Quick Guide
Time Series Useful Resources
Discuss Time Series

Instructor

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W3edify Infotech

President of Sales

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