Mastering Time Series Forecasting with Python
Learn Python, Time Series Model Additive, Multiplicative, AR, Moving Average, Exponential, ARIMA models
What you'll learn
Python Programing
Basic to Advanced Time Series Methods
Time Series Visualization in Python
Auto Regressive Methods,
Moving Average, Exponential Moving Average
Linear Regression and Evaluation
Additive and Multiplicative Models
ARMA, ARIMA, SARIMA in Python
ACF and PACF
Auto ARIMA in Python
Stationary and Non Stationary
GARCH Models
Requirements
Basics knowledge in Statistics
Basic understand on Python
Should have Gmail Account and should able to open Google Drive
Time series analysis and forecasting is one of the areas of Data Science and has a wide variety of applications in the industries in the current world. Many industries looking for a Data Scientist with these skills. This course covers all types of modelling techniques for forecasting and analysis.
We start with programming in Python which is the essential skill required and then we will be exploring the fundamental time series theory to help you understand the modelling that comes afterward.
Then throughout the course, we will work with a number of Python libraries, providing you with complete training. We will use the powerful time-series functionality built into pandas, as well as other fundamental libraries such as NumPy, matplotlib, stats models, Sklearn, and ARCH.
Who this course is for:
Anyone who are interested to do time series analysis and forecasting
Want to do advanced real time forecasting
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