Python for Finance: Investment Fundamentals & Data Analytics
4.5 (593 ratings)
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Python for Finance: Investment Fundamentals & Data Analytics

Learn Python Programming and Conduct Real-World Financial Analysis in Python - Complete Python Training
Best Seller
4.5 (593 ratings)
Instead of using a simple lifetime average, Udemy calculates a course's star rating by considering a number of different factors such as the number of ratings, the age of ratings, and the likelihood of fraudulent ratings.
6,335 students enrolled
Created by 365 Careers
Last updated 5/2017
English
English [Auto-generated]
Current price: $10 Original price: $195 Discount: 95% off
5 hours left at this price!
30-Day Money-Back Guarantee
Includes:
  • 6.5 hours on-demand video
  • 39 Supplemental Resources
  • Full lifetime access
  • Access on mobile and TV
  • Certificate of Completion
What Will I Learn?
  • Learn how to code in Python
  • Take your career to the next level
  • Be able to work with Python’s conditional statements, functions, sequences, and loops
  • Work with scientific packages, like NumPy
  • Understand how to use the data analysis toolkit, Pandas
  • Plot graphs with Matplotlib
  • Use Python to solve real-world tasks
  • Get a job as a data scientist with Python
  • Acquire solid financial acumen
  • Carry out in-depth investment analysis
  • Build investment portfolios
  • Calculate risk and return of individual securities
  • Calculate risk and return of investment portfolios
  • Apply best practices when working with financial data
  • Use univariate and multivariate regression analysis
  • Understand the Capital Asset Pricing Model
  • Compare securities in terms of their Sharpe ratio
  • Perform Monte Carlo simulations
  • Learn how to price options by applying the Black Scholes formula
  • Be comfortable applying for a developer job in a financial institution
View Curriculum
Requirements
  • You’ll need to install Anaconda. We will show you how to do it in one of the first lectures of the course.
  • All software and data used in the course are free.
Description

Do you want to learn how to use Python in a real 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. 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 A-Z.

If you are a complete beginner and you know nothing about coding, don’t worry! We will start from the very basics. The first part of the course is ideal for beginners and people who want to brush up 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:

  • Rate of return of stocks
  • Risk of stocks
  • Rate of return of stock portfolios
  • Risk of stock portfolios
  • Correlation between stocks
  • Covariance
  • Diversifiable and non-diversifiable risk
  • Regression analysis
  • Alpha and Beta coefficients
  • Measuring a regression’s explanatory power with R^2
  • Markowitz Efficient frontier calculation
  • Capital asset pricing model
  • Sharpe ratio
  • Multivariate regression analysis
  • Monte Carlo simulations
  • Using Monte Carlo in a Corporate Finance context
  • Derivatives and type of derivatives
  • Applying the Black Scholes formula
  • Using Monte Carlo for options pricing
  • Using Monte Carlo for stock pricing

Everything is included! All these topics are first explained in theory and then applied in practice using Python.

Is there a better way to reinforce what you have learned in the first part of the course?

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 would need if you start working in a finance context. 

Teaching is our passion.

Everything we will study has been explained in the best way possible. Plain and easy to understand English. Relevant examples. Time efficient videos. Don’t forget to check out some of our sample videos and see they are easy to understand.

If you have questions, contact us! We enjoy communicating with our students and take pride in responding within the same business day. Our goal is to create high-end materials that are fun, exciting, career-enhancing, and rewarding.

What makes this course different from the rest of the Programming and Finance courses out there?

  • This course will teach you how to code in Python and how to apply these skills in the world of Finance. It is both a Programming and a Finance course.
  • High-quality production – HD video and animations (this isn’t a collection of boring lectures!)
  • 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, here on Udemy.
  • Complete training – we will cover all major topics you need to understand to start coding in Python and solving the financial topics introduced in this course (and they are many!)
  • Extensive Case Studies that will help you reinforce everything you’ve learned.
  • Course Challenge: Solve our exercises and make this course an interactive experience.
  • 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.
  • Dynamic: We don’t want to waste your time! The instructors keep up a very good pace throughout the whole course.
  • Bonus prizes: Upon completion of 50% and 100% of the course, you will receive two bonus gifts.

Students of this course, who complete 50% of the lessons, get full lifetime access to our five-star rated course, “Beginner to Pro in PowerPoint.” It has a price of $150.

Students of this course, who complete 100% of the lessons, get full lifetime access to our five-star rated course, “The Power Modeling Bootcamp: Advanced Excel in 10 days” It has a price of $150.

Please don’t forget 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?

Just subscribe to this course! If you don't acquire these skills now, you will miss an opportunity to separate yourself from the others. Don't risk your future success! Let's start learning together now!

Who is the target audience?
  • Aspiring data scientists
  • Beginners to programming
  • People interested in finance and investments
  • Programmers who want to specialize in finance
  • Everyone who wants to learn how to code and apply their skills in practice
  • Finance Graduates and Professionals who need to know more about how to apply their knowledge in Python
Students Who Viewed This Course Also Viewed
Curriculum For This Course
103 Lectures
06:37:47
+
Welcome! Course Introduction
2 Lectures 08:04

Download Useful Resources - Exercises and Solutions
02:54
+
Introduction to programming with Python
6 Lectures 27:36
Programming Explained in 5 Minutes
05:04

Programming Explained in 5 Minutes
2 questions

Why Python?
05:11

Why Python?
2 questions

Why Jupyter?
03:29

Why Jupyter?
2 questions

Installing Python and Jupyter
04:22

Jupyter’s Interface – the Dashboard
03:15

Jupyter’s Interface – Prerequisites for Coding
06:15

Jupyter’s Interface
3 questions
+
Python Variables and Data Types
3 Lectures 12:29

Variables
1 question

Numbers and Boolean Values
03:05

Numbers and Boolean Values
1 question

Strings
05:43

Strings
3 questions
+
Basic Python Syntax
7 Lectures 11:20
Arithmetic Operators
03:23

Arithmetic Operators
1 question

The Double Equality Sign
01:33

The Double Equality Sign
1 question

Reassign Values
01:08

Reassign values
1 question

Add Comments
01:25

Add Comments
1 question

Line Continuation
00:49

Indexing Elements
01:18

Indexing Elements
1 question

Structure Your Code with Indentation
01:44

Structure Your Code with Indentation
1 question
+
Python Operators Continued
2 Lectures 07:45
Comparison Operators
02:10

Comparison Operators
2 questions

Logical and Identity Operators
05:35

Logical and Identity Operators
2 questions
+
Conditional Statements
4 Lectures 13:29
Introduction to the IF statement
03:04

Introduction to the IF statement
1 question

Add an ELSE statement
02:39


A Note on Boolean values
02:13

A Note on Boolean Values
1 question
+
Python Functions
7 Lectures 18:31
Defining a Function in Python
02:03

Creating a Function with a Parameter
03:49

Another Way to Define a Function
02:35

Using a Function in another Function
01:49

Combining Conditional Statements and Functions
03:06

Creating Functions Containing a Few Arguments
01:13

Notable Built-in Functions in Python
03:56

Functions
2 questions
+
Python Sequences
5 Lectures 19:11
Lists
04:02

Lists
1 question

Using Methods
03:22

Using Methods
1 question

List Slicing
04:30

Tuples
03:13

Dictionaries
04:04

Dictionaries
1 question
+
Using Iterations in Python
6 Lectures 15:53
For Loops
02:26

For Loops
1 question

While Loops and Incrementing
02:26

Create Lists with the range() Function
02:22

Create Lists with the range() Function
1 question

Use Conditional Statements and Loops Together
03:05

All In – Conditional Statements, Functions, and Loops
02:27

Iterating over Dictionaries
03:07
+
Advanced Python tools
10 Lectures 41:53

Object Oriented Programming - Quiz
2 questions

Modules and Packages
01:05

Modules - Quiz
2 questions

The Standard Library
02:47

The Standard Library - Quiz
1 question

Importing Modules
04:10

Importing Modules - Quiz
2 questions

Must-have packages for Finance and Data Science
04:53

Must-have packages - Quiz
3 questions

Working with arrays
06:02

Generating Random Numbers
02:52

Importing and Organizing Data in Python – part I
03:44

Importing and Organizing Data in Python – part II
07:01

Importing and Organizing Data in Python – part III
04:19
7 More Sections
About the Instructor
365 Careers
4.5 Average rating
11,168 Reviews
82,855 Students
20 Courses
Creating opportunities for Business & Finance students

365 Careers is a firm specializing in high-end business, financial, data science, and office producitvity training programs. Our growing list of courses includes Excel (Microsoft Excel for Beginner and Advanced users), PowerPoint, Word, Outlook, Accounting, Finance 101, Investment Banking, Financial Modeling, Company Valuation, Financial Planning & Analysis, Job Hunting, Strategy, Management, Marketing, Decision Making and Negotiation, and Python trainings. Our goal is to provide to our students the practical instruments they will need in order to perform successfully at their future workplace.