The Most Powerful
Time Series Analysis
Course
Learn time series and all sorts of time related data in Python Forecasting, Time Series Analysis, Predictive Analytics and many more!
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What you'll learn
Are you ready to start your path to becoming a Data Scientist!
This course will teach you everything you need to know to use Python for forecasting time series data to predict new future data points.
You will learn about the stats models library and its powerful built in Time Series Analysis Tools. Including learning about Error-Trend-Seasonality decomposition and basic Holt-Winters methods.
Afterwards we'll get to the heart of the course, covering general forecasting models. We'll talk about creating AutoCorrelation and Partial AutoCorrelation charts and using them in conjunction with powerful ARIMA based models, including Seasonal ARIMA models and SARIMAX to include Exogenous data points.
We even covers Facebook's Prophet library, a simple to use, yet powerful Python library developed to forecast into the future with time series data.
So what are you waiting for! Learn how to work with your time series data and forecast the future!
We'll see you inside the course!
Requirements
Some programming experience
Who this course is for:
- This course is meant for people with at least some programming experience
Course Details
Learn about time series analysis foundations.
In this module you will learn
- DateTime Index
- Time Resampling
- Time Shifting
- Rolling and Expanding
- Visualizing Time Series Data
Here you will deep dive in
- Decomposition
- Simple Moving Average
- Exponential Smoothing with ETS
- Judgmental Forecasts - Qualitative Forecasting Methods
In this Module you discover
- ARIMA Models
- ARIMA Model Calculations
- Simulating Time Series Based on ARIMA
- ARIMA Forecasts
In this Module you discover
- Introduction Statsmodels
- Holt - Winters Methods Theory
In this Module you discover
- Overview of Facebook's Prophet Library
- Facebook Prophet Evaluation
- Facebook Prophet Trend
- Facebook Prophet Seasonality
Details and Sample Certificate
Total duration: 30hrs/3 Months | |
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additional materials: pdf., videos | |
related courses: Machine Learning | |
assessment : Online Exam | |
course rating : |


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