Free Certification Course Title: Time Series Analysis in Python. Master Applied Data Analysis
Python Time Series Analysis with 10+ Forecasting Models including ARIMA, SARIMA, Regression & Time Series Data Analysis
What you’ll learn:
What is Time Series Data, it applications and components.
Fetching time series data using different methods.
Handling missing values and outliers in a time series data.
Decomposing and Splitting time series data.
Different smoothing techniques such as Simple Moving Averages, Simple Exponential, Holt and Holt-winter Exponential.
Checking Stationarity of the time series data and Converting Non-stationary to Stationary.
Auto-regressive models such as Simple AR model and Moving Average Model.
Advanced Auto-Regressive Models such as ARMA, ARIMA, SARIMA.
Evaluation Metrics used for time series data.
Rules for Choosing the Right Model for time series data.
Must have a Desire of Learning Advanced Technologies
Must have a Laptop to Practice the Course Curriculum
- Basic Knowledge of English Language
Must have an Internet Connectivity
Who this course is for:
- Programming Beginners
- Data Science Enthusiast
- Python Developers
- Programmers who wants to specialize in finance
- Machine Learning Enthusiast
- Beginner Python Developers curious to Learn about Time Series
- Statisticians who want to Upgrade themselves
- Data Analysts who want to Upgrade themselves
This course includes:
8 hours on-demand video
133 downloadable resources
Full lifetime access
Access on mobile and TV
Certificate of completion
How to Subscribe For Time Series Analysis in Python. Master Applied Data Analysis?
- Sign Up on Udemy.com
- Subscribe Here(Time Series Analysis in Python. Master Applied Data Analysis): Click Here
Apply Coupon Code: FREETSA
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