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
Time Series Analysis in Python. Master Applied Data Analysis [FREE]
What you’ll learn:
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What is Time Series Data, it applications and components.
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Fetching time series data using different methods.
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Handling missing values and outliers in a time series data.
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Decomposing and Splitting time series data.
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Different smoothing techniques such as Simple Moving Averages, Simple Exponential, Holt and Holt-winter Exponential.
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Checking Stationarity of the time series data and Converting Non-stationary to Stationary.
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Auto-regressive models such as Simple AR model and Moving Average Model.
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Advanced Auto-Regressive Models such as ARMA, ARIMA, SARIMA.
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Evaluation Metrics used for time series data.
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Rules for Choosing the Right Model for time series data.
Requirements:
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Must have a Desire of Learning Advanced Technologies
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Must have a Laptop to Practice the Course Curriculum
- Basic Knowledge of English Language
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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:
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8 hours on-demand video
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133 downloadable resources
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Full lifetime access
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Access on mobile and TV
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Certificate of completion
