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. 

Pre-requisites

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

Here's what our students have to say about our Creating Time Series Forecast using Python course

  • very good course!

    yuchen xiao

    This is a very good course for beginners on time series analysis. Very approachable, with a good balance between concept and real applications

    This is a very good course for beginners on time series analysis. Very approachable, with a good balance between concept and real applications

    Read Less
  • Wonderful way of explaining

    Surya Rasp

    I tried many courses, but this one just addresses required minimum basics( no more formula over loading) with practical example, little data preparation like...

    Read More

    I tried many courses, but this one just addresses required minimum basics( no more formula over loading) with practical example, little data preparation like normalisation , taking example of Non stationary and converting to stationary might covered all steps

    Read Less
  • Review

    Krinza Momin

    Excellent!

    Excellent!

    Read Less
  • Creating Time Series Forecast using Python

    Rajeswar Rao ippala

    Amazing

    Amazing

    Read Less
  • Good

    HAFSA BALOCH

    Good

  • Great Course

    AMAR KUMAR

    Nice one

    Nice one

    Read Less

FAQ

  • 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

Support for Creating Time Series Forecast using Python

Support for Creating Time Series Forecast using Python course can be availed through any of the following channels: