After completing the course, you will 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.
Who this course is for:
- Programming Beginners
- Data Science Enthusiast
- Python Developers
- Programmers who wants to specialize in finance
Can I download Time Series Analysis in Python. Master Applied Data Analysis course?
You can download videos for offline viewing in the Android/iOS app. When course instructors enable the downloading feature for lectures of the course, then it can be downloaded for offline viewing on a desktop.Can I get a certificate after completing the course?
Yes, upon successful completion of the course, learners will get the course e-Certification from the course provider. The Time Series Analysis in Python. Master Applied Data Analysis course certification is a proof that you completed and passed the course. You can download it, attach it to your resume, share it through social media.Are there any other coupons available for this course?
You can check out for more Udemy coupons @ www.coursecouponclub.com
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Disclosure: This post may contain affiliate links and we may get small commission if you make a purchase. Read more about Affiliate disclosure here.
