Python for Finance: Investment Fundamentals & Data Analytics (Udemy.com)

Learn Python Programming and Conduct Real-World Financial Analysis in Python - Complete Python Training

( 50 Reviews )

Created by: 365 Careers

Produced in 2022

What you will 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
B

Quality Score

Content Quality

Video Quality

Qualified Instructor

Course Pace

Course Depth & Coverage

Overall Score : 86 / 100

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Course 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 A-Z.
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

Beginner Level

Time: 8.5h

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Instructor Details

365 Careers

4.3 Rating
50 Reviews

365 Careers is the #1 best-selling provider of finance courses on Udemy. The company's courses have been taken by more than 500,000 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, Business Intelligence, R, Machine Learning, TensorFlow, Tableau, the integration of SQL and Tableau, the integration of SQL, Python, and Tableau, Credit Risk Modeling
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 ex

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Reviews

4.3

50 total reviews

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By Gordon on

Very good content in the course. It's quite high level but the instructors have done their best to explain the concepts in an understandable way, and they've done a good job with it. I will be coming back to this course again and again for reference. Thanks!

By harsh Singh on

Excellent course and instruction. Very easy to follow and understand. It gave me a good base to build off of and I hope to continue down this path and become more sophisticated.

By Omar Eleish on

I have enjoyed the course and I believe it's kind of comprehensive. I was just a bit lost in the part of importing and extracting data and graphs, in additional to obtaining a python script.In total, I am really appreciating the effort of you and your easiness in knowledge delivery.Thanks alot!Omar Eleish.

By Jose Nelumba on

Amazing experience. I am a finance major so many of the topics are familiar but the python section is very well explained, thanks for the insights.

By Andrew de Villiers on

It feels as though they bit off more than they could chew. The content is good, but near the end huge concepts are rushed (maybe just to say they covered it). Seriously, the calculations are insane. I did an MBA on a number of the topics and couldn't keep up. Arguably, the high ratings on the course are due to them asking you to rate it in the beginning stages (with weak justification). I really don't want to bash this because I did learn a lot and the content is powerful, I just think it was rushed and a lot of very important concepts were skimmed over without explanation.

By Pratima Rao on

The course is an overview of important finance topics. It also has exercises and problems to try on your own. The topics are quite advanced so it gives you the formulas and how to write the python code for it. You will need to supplement with books and other materials to gain deeper understanding.

By Bhushan Pathak on

Detailed course. However, it can be used as a starting point, practice is vital to understand the language

By Ferdinand Ledesma on

The lessons are concise and clear & the instructor speaks very clearly so I'm able to follow along very easily!

By Estela Carbone on

I just love courses made by them. Excellent, clear, well explained.I just find out you guys has a time series analysis course.I am so happy. Waiting my payment to buy it. I just love you and I sincerly think you are the best teachers in Udemy.

By Gaurav Kumar Kureel on

It was good learning experience and would like to have more excercise for data manipulation

By Brian Msizi Cindi on

It's been a very engaging. The idea of watching short video demonstrations and doing short quizzes as well has made it easy for me to follow. I was doing another python course for the purpose of going to the finance only to stumble upon this one. I hope I make most of the pure gold I am getting here.Thank you again for this course.

By Vaibhav Mann on