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Do you want to learn how to use Python in a working environment?
Are you a young professional interested in a career in Data Science?
Would you like to explore how Python can be applied in the world of Finance and solve portfolio optimization problems?
If so, then this is the right course for you!
We are proud to present Python for Finance: Investment Fundamentals and Data Analytics – one of the most interesting 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 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 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:
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Rate of return of stocks
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Risk of stocks
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Rate of return of stock portfolios
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Risk of stock portfolios
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Correlation between stocks
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Covariance
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Diversifiable and non-diversifiable risk
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Regression analysis
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Alpha and Beta coefficients
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Measuring a regression’s explanatory power with R^2
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Markowitz Efficient frontier calculation
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Capital asset pricing model
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Sharpe ratio
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Multivariate regression analysis
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Monte Carlo simulations
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Using Monte Carlo in a Corporate Finance context
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Derivatives and type of derivatives
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Applying the Black Scholes formula
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Using Monte Carlo for options pricing
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Using Monte Carlo for stock pricing
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.
Everything we teach is explained in the best way possible. Plain and clear English, relevant examples and time-efficient lessons. Don’t forget to check some of our sample videos to see how easy they are to understand.
If you have questions, contact us! We enjoy communicating with our students and take pride in responding very soon. Our goal is to create high-end materials that are fun, exciting, career-enhancing, and rewarding.
What makes this training different from the rest of the Programming and Finance courses out there?
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This course will teach you how to code in Python and apply these skills in the world of Finance. It is both a Programming and a Finance course.
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High-quality production – HD video and animations (this isn’t a collection of boring lectures!)
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Knowledgeable instructors. Martin is a quant geek fascinated by the world of Data Science, and Ned is a finance practitioner with several years of experience who loves explaining Finance topics in real life and on Udemy.
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Complete training – we will cover all the major topics you need to understand to start coding in Python and solving the financial topics introduced in this course (and they are many!)
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Extensive Case Studies that will help you reinforce everything you’ve learned.
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Course Challenge: Solve our exercises and make this course an interactive experience.
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Excellent support: If you don’t understand a concept or you simply want to drop us a line, you’ll receive an answer within 1 business day.
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Dynamic: We don’t want to waste your time! The instructors set a very good pace throughout the whole course.
Please don’t forget that the course comes with Udemy’s 30-day unconditional, money-back-in-full guarantee. And why not give such a guarantee, when we are convinced the course will provide a ton of value for you?
Click ‘Buy now’ to start your learning journey today. We will be happy to see you inside the course.
Introduction to programming with Python
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1What Does the Course Cover?
In this video, we will discuss:
- who are the instructors of the course
- what the course is about
- who it is for
- the wide range of topics covered in this course
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2Download Useful Resources - Exercises and Solutions
Learn how to navigate in the Course Content section and find the resources available for all lectures.
Python Variables and Data Types
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3Programming Explained in 5 Minutes
In this lesson, we will explain what you must know about programming if you are just getting started.
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4Programming Explained in 5 Minutes
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5Why Python?
Python is a programming language characterized as:
- open-source
- general-purpose
- high-level
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6Why Python?
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7Why Jupyter?
You must install Python and Jupyter on your computer. If you have them, you can still complete this lecture, because we will say a few interesting things about Jupyter.
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8Why Jupyter?
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9Installing Python and Jupyter
There are various ways to install Python on your computer. But especially for new users, it is highly recommended to choose Anaconda. It will install, not only Python, but also the Jupyter Notebook App and many scientific computing and data science packages.
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10Jupyter’s Interface – the Dashboard
In this lesson, we’ll do a quick tour of the Jupyter dashboard. You’ll see how to:
- manipulate files and folders in the Jupyter dashboard
- upload and open Python files in Jupyter
- create new Python files in Jupyter
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11Jupyter’s Interface – Prerequisites for Coding
Now that we know more about the dashboard, we are ready to examine the shell and see how to code in Jupyter.
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12Jupyter’s Interface
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13Python 2 vs Python 3: What's the Difference?
Basic Python Syntax
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14Variables
In this lesson, we will start coding. We will also introduce you to one of the main concepts in programming – variables.
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15Variables - Exercise #1
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16Variables - Exercise #2
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17Variables - Exercise #3
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18Variables - Exercise #4
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19Variables
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20Numbers and Boolean Values
Two distinct numeric types in Python are:
- integers
- floating points (floats)
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21Numbers and Boolean - Exercise #1
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22Numbers and Boolean - Exercise #2
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23Numbers and Boolean - Exercise #3
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24Numbers and Boolean - Exercise #4
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25Numbers and Boolean - Exercise #5
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26Numbers and Boolean Values
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27Strings
In this lesson, we’ll learn about another type of value that can be useful when working in Python – strings. Strings are text values composed of a sequence of characters.
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28Strings - Exercise #1
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29Strings - Exercise #2
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30Strings - Exercise #3
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31Strings - Exercise #4
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32Strings - Exercise #5
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33Strings
Python Operators Continued
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34Arithmetic Operators
We’ll continue to build our Python syntax knowledge. The next topic on our agenda is arithmetic operators:
- addition (+)
- subtraction (-)
- division (/)
- multiplication (*)
- remainder (%)
- exponentiation (**)
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35Arithmetic Operators - Exercise #1
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36Arithmetic Operators - Exercise #2
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37Arithmetic Operators - Exercise #3
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38Arithmetic Operators - Exercise #4
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39Arithmetic Operators - Exercise #5
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40Arithmetic Operators - Exercise #6
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41Arithmetic Operators - Exercise #7
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42Arithmetic Operators - Exercise #8
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43Arithmetic Operators
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44The Double Equality Sign
Here, we will explore another useful operator - the double equality sign.
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45The Double Equality Sign - Exercise #1
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46The Double Equality Sign
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47Reassign Values
In this video, we will show you how to reassign variables in Python.
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48Reassign Values - Exercise #1
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49Reassign Values - Exercise #2
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50Reassign Values - Exercise #3
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51Reassign Values - Exercise #4
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52Reassign values
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53Add Comments
Learn how to use the hash sign for writing comments in Python.
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54Add Comments
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55Line Continuation
In this video, we will show you a neat trick that will be extremely valuable when you become an advanced Python programmer and work with large amounts of code – using the forward slash to finish your code on a new line.
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56Line Continuation - Exercise #1
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57Indexing Elements
Let’s look at another important concept that will help us a great deal when working in Python - indexing. This is a technique we’ll use frequently, later in the course, especially when we focus on Python’s application in the world of finance.
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58Indexing Elements - Exercise #1
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59Indexing Elements - Exercise #2
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60Indexing Elements
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61Structure Your Code with Indentation
The next concept for programming in Python that we will see is fundamental – it is called indentation. The way you apply it in practice is important, as this will be the only mechanism to communicate your ideas to the machine properly.
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62Structure Your Code with Indentation - Exercise #1
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63Structure Your Code with Indentation
Conditional Statements
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64Comparison Operators
In this section, we will learn more about the operators that will help us in our work in Python. We will start with comparison operators.
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65Comparison Operators - Exercise #1
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66Comparison Operators - Exercise #2
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67Comparison Operators - Exercise #3
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68Comparison Operators - Exercise #4
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69Comparison Operators
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70Logical and Identity Operators
Briefly, the logical operators in Python are the words “not”, “and”, and “or”. They compare a certain number of statements and return Boolean values – “True” or “False” – hence their second name, Boolean operators.
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71Logical and Identity Operators - Exercise #1
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72Logical and Identity Operators - Exercise #2
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73Logical and Identity Operators - Exercise #3
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74Logical and Identity Operators - Exercise #4
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75Logical and Identity Operators - Exercise #5
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76Logical and Identity Operators - Exercise #6
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77Logical and Identity Operators
Python Functions
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78Introduction to the IF statement
Values act as the most basic (or primitive) data elements to form not only variables, but expressions. In this video, you will learn about a prominent example of conditional statements in Python – the IF statement.
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79IF - Exercise #1
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80IF - Exercise #2
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81Introduction to the IF statement
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82Add an ELSE statement
Here, we will focus on adding an ELSE statement to a conditional in Python.
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83ELSE - Exercise #1
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84Else if, for Brief – ELIF
We’ll show you an elegant way to add a second IF statement to one of our expressions. This is done with the help of the ELIF keyword.
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85ELIF Exercise #1
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86ELIF Exercise #2
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87A Note on Boolean Values
You probably noticed we talked about Boolean values a few times. We would like to provide a short video that explains their application.
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88A Note on Boolean Values
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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