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Python & Machine Learning for Financial Analysis
Machine LearningBeginner

Python & Machine Learning for Financial Analysis

ProviderUdemy
Duration23 total hours
PricePaid
#AI#Udemy#Machine Learning#Python

About this Course

Are you ready to learn python programming fundamentals and directly apply them to solve real world applications in Finance and Banking?If the answer is yes, then welcome to the “The Complete Python and Machine Learning for Financial Analysis” course in which you will learn everything you need to develop practical real-world finance/banking applications in Python!So why Python?Python is ranked as the number one programming language to learn in 2020, here are 6 reasons you need to learn Python right now!1. #1 language for AI & Machine Learning: Python is the #1 programming language for machine learning and artificial intelligence.2. Easy to learn: Python is one of the easiest programming language to learn especially of you have not done any coding in the past.3. Jobs: high demand and low supply of python developers make it the ideal programming language to learn now.4. High salary: Average salary of Python programmers in the US is around $116 thousand dollars a year.5. Scalability: Python is extremely powerful and scalable and therefore real-world apps such as Google, Instagram, YouTube, and Spotify are all built on Python.6. Versatility: Python is the most versatile programming language in the world, you can use it for data science, financial analysis, machine learning, computer vision, data analysis and visualization, web development, gaming and robotics applications.This course is unique in many ways:1. The course is divided into 3 main parts covering python programming fundamentals, financial analysis in Python and AI/ML application in Finance/Banking Industry. A detailed overview is shown below:a) Part #1 – Python Programming Fundamentals: Beginner’s Python programming fundamentals covering concepts such as: data types, variables assignments, loops, conditiona

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Verified student count: 4,799 reviews. This data is refreshed regularly via platform sync endpoints.
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