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Acquire all major Python Programming for Data Science skills in this course for seamless integration into your daily life. Develop a versatile skill set, allowing you to confidently apply what you've learned in various practical scenarios, enhancing your daily experiences and overall proficiency. An exceptional course in Python Programming for Data Science, this stands out for its Self Paced learning approach. Learners have the flexibility to progress at their own speed, tailoring the experience to their individual needs. With a focus on cultivating industry-relevant skills, this course ensures that learners attain a skillset aligned with current industry demands.
Rating & Reviews
This highly acclaimed course is among the top-rated in Python Programming for Data Science, boasting a rating greater than 4 and an overall rating of 5.0. Its exceptional quality sets it apart, making it an excellent choice for individuals seeking top-notch learning experience in Python Programming for Data Science.
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Hands-On Training,Instructor-Moderated Discussions
Skills You Will Gain
Time Series Analysis in Python
What You Will Learn
Learn about GARCH Models, how to implement them and calibrate them on financial data from stocks to foreign exchange
This course will show you how and when to implement GARCH models, how to specify model assumptions, and how to make volatility forecasts and evaluate model performance
Using real-world data, including historical Tesla stock prices, you’ll gain hands-on experience of how to better quantify portfolio risks, through calculations of Value-at-Risk, covariance, and stock Beta
You’ll also apply what you’ve learned to a wide range of assets, including stocks, indices, cryptocurrencies, and foreign exchange, preparing you to go forth and use GARCH models
Average Rating Based on 3 reviews