Utility of Python in Finance Sphere

Utility of Python in Finance Sphere

 

The essence of this Course

The first block of the course is a great opportunity for newbies to learn about the functionality and essence of Python, as well as people who have some knowledge could strengthen and revise want they know. Then, after covering the theory we will move to analytics and portfolio evaluation and optimization.

As to the finance part of this course. You will obtain common skills as well as some specific knowledge which is extremely valuable on the employment market. To be a successful programmer you need to be involved in a quite narrow area of Knowledge, so if you are interested in Finance- this course is a lifeline for you because we will cover all skills, tools and strategies to become a well-paid specialist in this sphere.

Moreover, you will have an opportunity to test your new skills and yourself, because after the theory you will move to the practical implementation of your knowledge.

Even high qualified programmers could find something new for them. Because you could be a great programmer, but without basic knowledge of the sphere where you are planning to work- you will not make any progress and succeed.

What you’ll learn:

  • How to work with Python’s main instruments
  • How to use the data analysis library, which is called Pandas
  • How to use Matplotlib to visualize information.
  • How and where to start your career as a Python programmer
  • How to conduct analytics
  • How to create a successful portfolio
  • How to manage Financial risk while working with financial instruments
  • How to conduct Financial analysis
  • How to determine a theoretically appropriate required rate of return on the asset Understand the Capital Asset Pricing Model
  • How to compare securities using the Sharpe index
  • How to utilize the Monte Carlo experiments
  • How to use a mathematical model of Black Scholes.

For whom:

  • Beginners in data science
  • Individuals keen on finance and investments
  • Anyone who wants to increase their knowledge of Python and apply them to the finance sphere.

Course structure

A quick introduction to Python
Short and intensive course of programming
Advantages of Python
Advantages of Jupyter
How to launch Jupyter and Python
Basic knowledge of Jupyter’s Functionality
Python main variables
What are the foremost common variables in Python
How to use Python’s built-in data types
What are strings
Basic Python language
What are arithmetic operators
The usage of Double Equality Sign
How to reappoint values
How to continue your line of code after its breakage
What are the ways to assign an index to an object
Basic principles of structuring of your code
Python Operators
Main Relational operators
Three main Logical operators of Python
Two main Identity operators of Python
Conditional Statements in Imperative Programming
What is the «if» statement
What is the «else» statement
How to combinate the usage of the «if» and «else» statement
Python Functions
What is Function as an organized block of code
Parameters as means of creation of Functions
Execution of one Function called from another function or directly from the Python prompt.
How to use Conditional Statements and Functions simultaneously
How to create Functions with several Arguments
Functions that are often utilized in Python
Professional Python tools
How to establish an Object within Python
How to acquire skills to use Standard Library in Python
How to use Modules and packages in respect of the Finance sphere
How to work with arrays
How to generate a sequence of numbers that cannot be predicted.
How to use Financial Data within the Python
How to search for a reliable source of Financial Data
How to get access to files in the Jupyter Notebook
How to enter Data into Python and then organize it
How to utilize time series in python
How to restart the Jupyter Kernel
160 EUR
Join the course

The Course contains:

  • 37 lessons
  • 46 hours of video
  • 8 tests
  • 12 interactive tasks

Course structure