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HOT4GFX » Video Tutorials » Other » Simple Algorithmic Trading Crash Course

Simple Algorithmic Trading Crash Course

16 Apr 2022, 15:53
Simple Algorithmic Trading Crash Course
Instructors: Mammoth Interactive, John Bura 4 sections * 11 lectures * 56m total length
Video: MP4 1280x720 44 KHz | English + Sub Updated 5/2021 | Size: 363 MB

Learn how to snag the most in demand role in the tech field today!
What you'll learn
Learn how to code in Python
Understand how to use the data analysis toolkit, Pandas
Work with Python's conditional statements, functions, sequences, and loops
Build investment portfolios
No necessary experience needed
Algorithmic Trading with Python, Statistics and Pandas - one of the most interesting and complete courses we have created so far. It took our team slightly over four months to create this course, but now, it is ready and waiting for you.
An exciting journey from Beginner to Pro.
If you are a complete beginner and you know nothing about coding, don't worry! We start from the very basics. The first part of the course is ideal for beginners and people who want to brush up on their Python skills. And then, once we have covered the basics, we will be ready to tackle financial calculations and portfolio optimization tasks.
Finance Fundamentals.
And it gets even better! The Finance block of this course will teach you in-demand real-world skills employers are looking for. To be a high-paid programmer, you will have to specialize in a particular area of interest. In this course, we will focus on Finance, covering many tools and techniques used by finance professionals daily.
This course is great, even if you are an experienced programmer, as we will teach you a great deal about the finance theory and mechanics you will need if you start working in a finance context.
Everything we teach is explained in the best way possible. Plain and clear English, relevant examples and time-efficient videos. Don't forget to check some of our sample videos to see how easy they are to understand.
Who this course is for:Aspiring data scientistsProgramming beginnersPeople interested in finance and investmentsProgrammers who want to specialize in finance

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