Udemy - Python and Machine Learning in Financial Analysis 2021
Machine Learning

Udemy – Python and Machine Learning in Financial Analysis 2021


Python and Machine Learning in Financial Analysis is a course in economic analysis and financial statements using machine learning techniques published by Yodemi Academy. Your main programming language and tool in this course is Python. Python is a versatile, fully flexible programming language used in a variety of disciplines such as artificial intelligence, machine learning, and more.

At the beginning of this training course, you will be introduced to a series of economic and financial concepts that are very important in economic analysis, and then you will learn different methods of algorithm writing and the development of analytical systems based on machine learning. Technical and fundamental analysis are two wings of financial market analysis that you will learn about in this training course.

After getting acquainted with the economic concepts and different methods of financial data analysis, go to Python and learn how to work with this programming language in a completely practical and applied way. Among the technical topics presented in this section, we can mention deep learning techniques, algorithm writing, artificial intelligence, building neural networks, and so on. Accurate raw data is one of the most important foundations of economic analysis.

During the training process of this course, various resources for downloading and downloading economic data will be introduced to you. You will also learn about different types of economic data and their validation methods. Working with oscillators and indicators is one of the most important aspects of technical analysis that at the end of this training course you will build a trading robot based on indicators.

What you will learn in Python and Machine Learning in Financial Analysis:

  • Familiarity with different methods and resources to obtain accurate and reliable economic information
  • Pre-processing and initial preparation of data for use in later stages of analysis
  • Time series analysis models
  • Familiarity with different methods of exponential smoothing
  • Integrated self-correlated moving average models ( ARIMA )
  • Familiarity with different methods of predicting price fluctuations using financial time series models
  • Different methods of interpreting and reviewing financial statements
  • Familiarity with modern stock portfolio theory
  • Evaluate the overall performance of the stock portfolio using Python algorithms
  • Familiarity with different patterns in stock charts
  • Working with different indicators in technical analysis
  • Familiarity with the Monte Carlo simulation method and its use to estimate the stock price and options in the coming days
  • And …

Course specifications

Publisher: Udemi
Instructor: S.Emededin Hashemi
Language: English
Education Level: Basic to Advanced
Number of Courses: 82
Training Duration: 20 hours and 17 minutes

Course topics


Machine Learning

Prerequisites for Python and Machine Learning in Financial Analysis

Statistics and Basic Python

Course pictures


Machine Learning

Installation guide

After Extract, watch with your favorite Player.

English subtitle

Quality: 720p

download link

Download Part 1 – 1 GB
Download Part 2 – 1 GB
Download Section 3 – 1 GB
Download section 4 – 500 MB
file password link
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