About the course

Time Series forecasts come in handy for creating simple forecasts like number of airline passengers to traffic on a website.

Time Series Forecasting is a skill every Data Scientist should be well versed in.

In this course, we provide you with a practical approach to solving a real life Time Series Problem. By the end of the course, you will have a solid understanding of Time Series Forecasting and Various approaches to solve the problem. 


This course assumes that you have familiarity with Python.

Course curriculum

  • 1
    Time Series Analysis
    • Introduction to the Course
    • Introduction to Time Series
    • Components of a Time Series
    • Problem Statement
    • Table of Contents
    • Hypothesis Generation
    • Getting the system ready and loading data
    • Dataset Structure and Content
    • Feature Extraction
    • Exploratory Analysis
    • Exercise 1
    • Splitting the data into training and validation part
    • Modeling Techniques
    • Holt's Linear trend model on daily time series
    • Holt Winter's model on daily time series
    • Introduction to ARIMA model
    • Parameter tuning for ARIMA model
    • SARIMAX model on daily time series
    • Exercise 2
    • Important Links
    • Your Feedback


  • Who should take this course?

    This course is meant for people looking to explore Time Series Forecasting in Python.

  • Do I need to install any software before starting the course?

    You will need to download and install python.

  • What is the refund policy?

    The course is free of charge.

  • Do I need to take the modules in a specific order?

    We would highly recommend taking the course in the order in which it has been designed to gain the maximum knowledge from it.

  • Do I get certificate upon completion of the course?

    This is a free course and therefore there is no certificate involved.

  • What is the fee for this course?

    The course is free of charge.

  • How long I can access the course?

    You will have access to the course for a duration of 6 months.

  • Is there any placement support

    This is an introductory course and this does not include any placement support. Once you have worked on a few data science projects and hackathons, you can always apply to jobs on Analytics Vidhya portal