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May 01,2018 - December 31,2018

Creating Time Series Forecast using Python

This course is a comprehensive guide to solve Time Series Forecasting problem. You will be able to build your own time series forecasts by end of this course.

About this 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 probem

Requirements

This course assumes that you have familiarity with Python. 

Frequently Asked Questions

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 a 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 will I have access to this 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

ABOUT THE INSTRUCTORS

Analytics Vidhya

Analytics Vidhya

Learn Everything about Analytics

Analytics Vidhya offers a high engagement community of data scientists and analytics professionals. You can connect with them to solve cutting-edge problems to hire them or turn them into evangelists of your products and services

SYLLABUS

  • Overview of the Course
  • Getting Started with Time Series
  • Understanding Data
  • Forecasting using Multiple Modeling Techniques
  • Important Links
REVIEWS
4.5(11)
11 Reviews

1 days 16 hours ago

Laurent.Wu

15 days 15 hours ago

mlenthusiast63

15 days 23 hours ago

nagaraju204

I suggest to go through it, it is a nice and simple course

16 days 21 hours ago

Salil_007

23 days 8 hours ago

bksangeeta

VIEW ALL REVIEWS

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KEY HIGHLIGHTS

  • Formulating Time Series problems
  • Building ARIMA, SARIMAX models
  • Fine tuning Time Series models
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