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30-Day Money-Back Guarantee

This course includes:

  • 8.5 hours on-demand video
  • 1 article
  • 42 downloadable resources
  • Full lifetime access
  • Access on mobile and TV
Finance & Accounting Financial Modeling & Analysis Python

Python for Finance: Investment Fundamentals & Data Analytics

Learn Python Programming and Conduct Real-World Financial Analysis in Python - Complete Python Training
Bestseller
Rating: 4.5 out of 54.5 (19,940 ratings)
93,704 students
Created by 365 Careers
Last updated 6/2020
English
English [Auto], French [Auto], 
30-Day Money-Back Guarantee

What you'll learn

  • Learn how to code in Python
  • Take your career to the next level
  • 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
Curated for the Udemy for Business collection

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 is free

Description


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. 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 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 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 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 videos. 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 within the 1 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 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 in real life and here on Udemy.

  • 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!)

  • 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 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?

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 this course is for:

  • Aspiring data scientists
  • Programming beginners
  • 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 better apply their knowledge in Python

Featured review

Paul Russell
Paul Russell
12 courses
5 reviews
Rating: 5.0 out of 5a year ago
I am doing this course as part of my preparation for an Associate Quantitative Developer role. So far it has been very clear, I am a recent graduate software engineer, but have not used python much before. I can't wait to learn how to use python and apply quantitative methods on financial data. Then I get to go a delve into Equity Futures, Options and Forwards. I might head over to Quantopian for that. Wish me luck guys! and again thanks for the great content

Course content

18 sections • 111 lectures • 8h 15m total length

  • Preview05:10
  • Download Useful Resources - Exercises and Solutions
    02:54

  • 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
    07:12
  • Jupyter’s Interface – the Dashboard
    03:15
  • Jupyter’s Interface – Prerequisites for Coding
    06:15
  • Jupyter’s Interface
    4 questions
  • Python 2 vs Python 3: What's the Difference?
    02:56

  • Variables
    Preview04:51
  • Variables
    1 question
  • Numbers and Boolean Values
    03:05
  • Numbers and Boolean Values
    1 question
  • Strings
    12:17
  • Strings
    3 questions

  • 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
    03:20
  • Add Comments
    1 question
  • Line Continuation
    00:49
  • Indexing Elements
    01:18
  • Indexing Elements
    1 question
  • Structure Your Code with Indentation
    03:42
  • Structure Your Code with Indentation
    1 question

  • Comparison Operators
    02:10
  • Comparison Operators
    2 questions
  • Logical and Identity Operators
    05:35
  • Logical and Identity Operators
    2 questions

  • Introduction to the IF statement
    06:13
  • Introduction to the IF statement
    1 question
  • Add an ELSE statement
    05:37
  • Preview11:16
  • A Note on Boolean values
    04:38
  • A Note on Boolean Values
    1 question

  • Defining a Function in Python
    04:20
  • Creating a Function with a Parameter
    07:58
  • Another Way to Define a Function
    05:29
  • Another Way to Define a Function
    1 question
  • Using a Function in another Function
    01:49
  • Combining Conditional Statements and Functions
    03:06
  • Creating Functions Containing a Few Arguments
    02:48
  • Notable Built-in Functions in Python
    03:56
  • Functions
    2 questions

  • Lists
    08:18
  • Lists
    1 question
  • Using Methods
    06:54
  • Using Methods
    1 question
  • List Slicing
    04:30
  • Tuples
    06:40
  • Dictionaries
    08:27
  • Dictionaries
    1 question

  • For Loops
    05:40
  • For Loops
    1 question
  • While Loops and Incrementing
    05:10
  • Create Lists with the range() Function
    06:22
  • Create Lists with the range() Function
    1 question
  • Use Conditional Statements and Loops Together
    06:30
  • All In – Conditional Statements, Functions, and Loops
    02:27
  • Iterating over Dictionaries
    06:21

  • Preview05:00
  • 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
  • A Note on Using Financial Data in Python
    02:42
  • Sources of Financial Data
    06:49
  • Accessing the Notebook Files
    02:35
  • Importing and Organizing Data in Python – part I
    03:44
  • Importing and Organizing Data in Python – part II.A
    07:01
  • Importing and Organizing Data in Python – part II.B
    04:37
  • Importing and Organizing Data in Python – part III
    04:19
  • Changing the Index of Your Time-Series Data
    03:17
  • Restarting the Jupyter Kernel
    02:17

Instructor

365 Careers
Creating opportunities for Business & Finance students
365 Careers
  • 4.5 Instructor Rating
  • 375,951 Reviews
  • 1,282,675 Students
  • 68 Courses

365 Careers is the #1 best-selling provider of finance courses on Udemy. The company’s courses have been taken by more than 1,000,000 students in 210 countries. People working at world-class firms like Apple, PayPal, and Citibank have completed 365 Careers trainings.  

Currently, the firm focuses on the following topics on Udemy:  

1) Finance – Finance fundamentals, Financial modeling in Excel, Valuation, Accounting, Capital budgeting, Financial statement analysis (FSA), Investment banking (IB), Leveraged buyout (LBO), Financial planning and analysis (FP&A), Corporate budgeting, applying Python for Finance, Tesla valuation case study, CFA, ACCA, and CPA

2) Data science – Statistics, Mathematics, Probability, SQL, Python programming, Python for Finance, Business Intelligence, R, Machine Learning, TensorFlow, Tableau, the integration of SQL and Tableau, the integration of SQL, Python, Tableau, Power BI, Credit Risk Modeling, and Credit Analytics

3) Entrepreneurship – Business Strategy, Management and HR Management, Marketing, Decision Making, Negotiation, and Persuasion, Tesla's Strategy and Marketing

4) Office productivity – Microsoft Excel, PowerPoint, Microsoft Word, and Microsoft Outlook

5) Blockchain for Business

All of the company’s courses are:  

Pre-scripted  

Hands-on  

Laser-focused  

Engaging  

Real-life tested  

By choosing 365 Careers, you make sure you will learn from proven experts, who have a passion for teaching, and can take you from beginner to pro in the shortest possible amount of time.  

If you want to become a financial analyst, a finance manager, an FP&A analyst, an investment banker, a business executive, an entrepreneur, a business intelligence analyst, a data analyst, or a data scientist, 365 Careers’ courses are the perfect place to start. 

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