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python for finance-machine learning and algorithmic trading

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python for finance-machine learning and algorithmic trading, available at $39.99, has an average rating of 4.4, with 29 lectures, based on 12 reviews, and has 2478 subscribers.

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You will learn about Cover a Python Crash Course with all the basic Python How to automate financial analysis with Python using Pandas and Numpy Introduction to Pandas, Numpy and Visualization of financial data Learn to find attractive companies to invest in using fundamental analysis Identify when to buy and sell stocks based on technical analysis using Pandas Understand risk when buying stock shares How to use DataFrames for financial analysis How to calculate a fair price (intrinsic value) of a stock with Python using Pandas How to use Price/Earnings (PE) ratio to make calculations How to calculate technical indicators, like, Moving Average (MA), MACD, SMA, and more Calculate with vectors and matrices using NumPy How to calculate the Volatility of a stock Learn what Sharpe Ratio is and how to use it Learn how to trade using machine learning Learn how to trade using algorithms. Optimize your portfolio of investments Understand and learn to calculate the CAGR (Compound Annual Growth Rate) Learn how to use pandas and numpy for data analysis Learn how to work with time series data. Learn about financial data science deriavative analytics This course is ideal for individuals who are Anyone who wants to learn about how to use python in finance or Beginner python developers willing to use machine learning in finance It is particularly useful for Anyone who wants to learn about how to use python in finance or Beginner python developers willing to use machine learning in finance.

Enroll now: python for finance-machine learning and algorithmic trading

Summary

Title: python for finance-machine learning and algorithmic trading

Price: $39.99

Average Rating: 4.4

Number of Lectures: 29

Number of Published Lectures: 29

Number of Curriculum Items: 29

Number of Published Curriculum Objects: 29

Original Price: $99.99

Quality Status: approved

Status: Live

What You Will Learn

  • Cover a Python Crash Course with all the basic Python
  • How to automate financial analysis with Python using Pandas and Numpy
  • Introduction to Pandas, Numpy and Visualization of financial data
  • Learn to find attractive companies to invest in using fundamental analysis
  • Identify when to buy and sell stocks based on technical analysis using Pandas
  • Understand risk when buying stock shares
  • How to use DataFrames for financial analysis
  • How to calculate a fair price (intrinsic value) of a stock with Python using Pandas
  • How to use Price/Earnings (PE) ratio to make calculations
  • How to calculate technical indicators, like, Moving Average (MA), MACD, SMA, and more
  • Calculate with vectors and matrices using NumPy
  • How to calculate the Volatility of a stock
  • Learn what Sharpe Ratio is and how to use it
  • Learn how to trade using machine learning
  • Learn how to trade using algorithms.
  • Optimize your portfolio of investments
  • Understand and learn to calculate the CAGR (Compound Annual Growth Rate)
  • Learn how to use pandas and numpy for data analysis
  • Learn how to work with time series data.
  • Learn about financial data science
  • deriavative analytics

Who Should Attend

  • Anyone who wants to learn about how to use python in finance
  • Beginner python developers willing to use machine learning in finance

Target Audiences

  • Anyone who wants to learn about how to use python in finance
  • Beginner python developers willing to use machine learning in finance

Would you like to explore how Python can be applied in the world of Finance?

Would you like to learn how to apply machine learning using python in finance?

Would you like to learn how to apply deep learning using python in finance?

Would you like to learn how to apply reinforcement learning using python in finance?

Would you like to learn about algorithmic trading using python?

If so, then this is the right course for you!

We are proud to present python for finance-machine learning and algorithmic trading –oneof the mostinteresting and complete courses we have created so far.

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 basic Python skills. And then, once we have covered the basics, we will be ready to tackle various parts of algorithmic trading and working with financial data.

Finance Fundamentals.

And it gets even better! The Finance part 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:

Everything is included! All these topics are first explained in theory and then applied in practice using Python. This is the best way to reinforce what you have learned.

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.

Teaching is our passion.

Click ‘Buy now’ to start your learning journey today. We will be happy to see you inside the course.

Course Curriculum

Chapter 1: Stock market basics

Lecture 1: Basics of stock market

Chapter 2: Mastering basics of python

Lecture 1: Part 1

Lecture 2: Part 2

Lecture 3: Part 3

Lecture 4: Part 4

Chapter 3: Mastering Numpy

Lecture 1: Part 1

Lecture 2: Part 2

Lecture 3: Part 3

Chapter 4: Mastering pandas

Lecture 1: Part 1

Lecture 2: Part 2

Lecture 3: Part 3

Lecture 4: Part 4

Lecture 5: Part 5

Lecture 6: Part 6

Chapter 5: Mastering data visualisation

Lecture 1: Part 1

Lecture 2: Part 2

Lecture 3: Part 3

Lecture 4: Part 4

Chapter 6: Building and backtesting a trading strategy

Lecture 1: Part 1

Lecture 2: Part 2

Lecture 3: Part 3

Lecture 4: Part 4

Chapter 7: Stock prediction using deep learning

Lecture 1: Part 1

Lecture 2: Part 2

Lecture 3: Part 3

Chapter 8: Trading bot using reinforcement learning

Lecture 1: Part 1

Lecture 2: Part 2

Lecture 3: Part 3

Lecture 4: Part 4

Instructors

Rating Distribution

  • 1 stars: 1 votes
  • 2 stars: 0 votes
  • 3 stars: 1 votes
  • 4 stars: 1 votes
  • 5 stars: 9 votes

Frequently Asked Questions


How long do I have access to the course materials?


You can view and review the lecture materials indefinitely, like an on-demand channel.


Can I take my courses with me wherever I go?


Definitely! If you have an internet connection, courses on Udemy are available on any device at any time. If you don’t have an internet connection, some instructors also let their students download course lectures. That’s up to the instructor though, so make sure you get on their good side!

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