What you’ll learn
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Get a solid understanding of Time Series Analysis and Forecasting
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Understand the business scenarios where Time Series Analysis is applicable
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Building 5 different Time Series Forecasting Models in Python
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Learn about Auto regression and Moving average Models
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Learn about ARIMA and SARIMA models for forecasting
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Use Pandas DataFrames to manipulate Time Series data and make statistical computations
After completing this course you will be able to:
- Implement time series forecasting models such as AutoRegression, Moving Average, ARIMA, SARIMA etc.
- Implement multivariate forecasting models based on Linear regression and Neural Networks.
- Confidently practice, discuss and understand different Forecasting models used by organizations
Who this course is for:
- People pursuing a career in data science
- Working Professionals beginning their Machine Learning journey
- Statisticians needing more practical experience
- Anyone curious to master Time Series Analysis using Python in short span of time
Can I download Time Series Analysis and Forecasting using Python 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 and Forecasting using Python 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
Note: 100% OFF Udemy coupon codes are valid for maximum 3 days only. Look for "ENROLL NOW" button at the end of the post.
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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.
