What you’ll learn
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LEARN To Obtain Real World Financial Data FREE From Yahoo and Quandl
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BE ABLE To Read In, Pre-process & Visualize Time Series Data
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IMPLEMENT Common Data Processing And Visualisation Techniques For Financial Data in Python
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LEARN How To Use Different Python-based Packages For Financial Analysis
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MODEL Time Series Data To Forecast Future Values With Classical Time Series Techniques
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USE Machine Learning Regression For Building Predictive Models of Stock prices
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LEARN How to Use Facebook’s Powerful Prophet Algorithm For Modelling Financial Data
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IMPLEMENT Deep learning methods such as LSTM For Forecasting Stock Data
Who this course is for:
- Anyone Who Wants Master Financial Data Analysis In Python
- Anyone Who Wants To Become Proficient In Financial Data Analysis Working With Real Life Data
- People Interested in Applying Machine Learning Techniques to Financial Data
- Anyone Who Wants To Become An Expert Data Scientist
Can I download Practical Financial Data Analysis With Python Data Science 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 Practical Financial Data Analysis With Python Data Science 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.
Disclosure: This post may contain affiliate links and we may get small commission if you make a purchase. Read more about Affiliate disclosure here.
Disclosure: This post may contain affiliate links and we may get small commission if you make a purchase. Read more about Affiliate disclosure here.
