What is Time Series Analysis?
‘Time’ is the most important factor which ensures success in a business. It’s difficult to keep up with the pace of time. But, technology has developed some powerful methods using which we can ‘see things’ ahead of time!
Nope, not the time machine, we are talking about the methods of prediction & forecasting. As the name ‘time series forecasting’ suggests, it involves working on time (years, days, hours, minutes) based data, to derive hidden insights to make informed decision making.
This is just the tip of the iceberg and there are numerous prediction problems that involve a time component and concepts of time series analysis come into picture.
Key Takeaways from Time Series Forecasting using Python Course?
This course is designed for people who want to solve problems related to Time Series Forecasting. By the end of the course, you will learn to apply the following necessary skills and techniques required to solve Time Series problems:
-
Machine Learning for Time Series forecasting
-
Exponential Smoothing Methods
-
Framework to evaluate Time Series Models
-
ARIMA and SARIMA Model
-
Tuning Parameters for ARIMA
-
Deep Learning for time series
Projects




Course curriculum
-
1
Module 1: Overview of the Course
- Overview of the course
- Instructor Introduction
- Getting to know you
- Handouts
-
2
Module 2: Introduction to TIme Series
-
3
Module 3: Working with Time Series
-
4
Module 4: Build your first time series model
-
5
Module 5: Simple time series forecasting models
-
6
Module 6: Exponential Smoothing Models
-
7
Assignment
-
8
Module 7: Arima model and Stationarity for Time Series
-
9
Assignment
-
10
Module 8: Prophet
-
11
Module 9: Project - Sales Forecasting
-
12
Module 10: Introduction to deep learning
-
13
Module 11: Introduction to neural network
-
14
Module 12: Building A Neural Network on structured Data
-
15
Module 13: Deep Learning For time series
-
16
What's Next
What do I need to take Time Series Forecasting course?
- A working laptop / desktop with 4 GB RAM
- A working Internet connection
- Basic knowledge of Machine Learning
- Basic knowledge of Python - check out this Course
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.
-
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.
Customer Support for our Courses & Programs
We are there for your support when you need!
-
Phone - 10 AM - 6 PM (IST) on Weekdays (Mon - Fri) on +91-8368808185
-
Email training_queries@analyticsvidhya.com (revert in 1 working day)
-
Discussion Forum - answer in 1 working day