Course Information
Registration period
Year-round Recruitment
Course Level
Study Mode
Duration
10 Hour(s) 18 Minute(s)
Language
English
Taught by
Navid Shirzadi, Ph.D.
Rating
2 views
Course Overview
Learn Python for Pandas, Statsmodels, ARIMA, SARIMAX, Deep Learning, LSTM and Forecasting into Future
"Time Series Analysis and Forecasting with Python" Course is an ultimate source for learning the concepts of Time Series and forecast into the future.
In this course, the most famous methods such as statistical methods (ARIMA and SARIMAX) and Deep Learning Method (LSTM) are explained in detail. Furthermore, several Real World projects are developed in a Python environment and have been explained line by line!
If you are a researcher, a student, a programmer, or a data science enthusiast that is seeking a course that shows you all about time series and prediction from A-Z, you are in a right place. Just check out what you will learn in this course below:
Basic libraries (NumPy, Pandas, Matplotlib)
How to use Pandas library to create DateTime index and how to set that as your Dataset index
What are statistical models?
How to forecast into future using the ARIMA model?
How to capture the seasonality using the SARIMAX model?
How to use endogenous variables and predict into future?
What is Deep Learning (Very Basic Concepts)
All about Artificial and Recurrent Neural Network!
How the LSTM method Works!
How to develop an LSTM model with a single variate?
How to develop an LSTM model using multiple variables (Multivariate)
As I mentioned above, in this course we tried to explain how you can develop an LSTM model when you have several predictors (variables) for the first time and you can use that for several applications and use the source code for your project as well!
This course is for Everyone! yes everyone! that wants t to learn time-series and forecasting into the future using statistics and artificial intelligence with any kind of background! Even if you are not a programmer, I show you how to code and develop your model line by line!
If you want to master the basics of Machine Learning in Python as well, you can check my other courses!
Course Content
- 6 section(s)
- 52 lecture(s)
- Section 1 Introduction
- Section 2 Useful Packages
- Section 3 Pandas for Time Series Analysis
- Section 4 Statistical Models for Time Series Forecasting
- Section 5 Deep Learning for Time Series Forecasting
- Section 6 Bonus
What You’ll Learn
- Basic Packages, NumPy, Pandas & Matplotlib
- Time Series with Pandas (Creating Date Time index, Resampling, ...)
- Analyzing Time Series Data Using Statsmodels Package
- The Concept of ARIMA and SARIMAX method and How to Forecast into the Future Using Them
- The Concept of Deep Learning from A-Z
- Forecast into the Future Using LSTM Model for Single Variant
- Forecast into the Future Using LSTM Model for Multi Variant
Skills covered in this course
Reviews
-
GGaurav Mishra
Great
-
HHasna Es-Sadiq
Thank you for this course
-
EEmmanuel Ifeanyi Ezeji
Excellent
-
SSalar Ghanbari
It will explain by detail and help me learn the concept behind time series forecasting
