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

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

4.3
( 362 Reviews )

Created by: 365 Careers

Produced in 2021

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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

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Quality Score

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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
Read More Beginner Beginner Level product length iconTime: 8.5h

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Instructor Details

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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

362 total reviews

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By To on 12/27/2020

As a finance professional working in asset allocation, I didn't find the actual examples as realistic or exact enough.

By Marvin Haar on 12/20/2020

The course is very good structured, interesting and of very high quality regarding video, audio as well as materials. Clear recommendation!
Can't tell anything about the results due to very early course stage.

By Hui CHEN on 12/20/2020

Good course

By Erick Munive Villa on 12/20/2020

Es bastante buena la introduccin a Python y ofrece un buen marco terico para poder planificar un buen portafolio de inversin.

By Lei Wang on 12/20/2020

A bit simple. Not many projects to apply. But I like this course because the lecturer went straightforward to the useful codes rather than spending a few sections to talk about the structure of the course, the setup of the software. And it's easy to follow, no pressure in learning, which is quite important for the beginners. This course is a good start for learning Python.

By Nuno Tiago Henriques Lana Ferreira Marti on 11/27/2020

Very good for Python/programming beginners but slow start for everyone else.
The bit on (Geometric) Brownian Motion could definitely be improved since it landed right in the middle of "not enough depth" and "too much information" (I would've personally taken the BSM approach and avoided the technical justifications).

By Thomas S Marsh on 11/25/2020

I have zero training in Python and this has been a good primer.

By Spiros Kodoprias on 11/19/2020

I really liked it thus far. The only thing I am a bit worried about is that I would prefer the course to analyze a bit more in depth the libraries and their capabilities, e.g. nympy and pandas. Since we only have learnt how they get imported and 2 or 3 modules from it.

By Anja Thoste on 11/16/2020

Great course with relevant examples

By Udita Mukherjee on 11/14/2020

A very concise course, the videos focus on one thing at a time and are a pleasure to learn from.

By Chinmay Pradhan on 11/14/2020

Very good course for beginners learning coding in python. The trainers have explained the concepts quite well throughout the course.

By Samuel J Granahan on 11/12/2020

Great step by step instruction on each concept. Great for beginners. Feel like I am getting a solid knowledge basis. One Criticism is that there are no larger projects that have you incorporate all of the knowledge you have learned along the way.

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Python for Finance: Investment Fundamentals & Data Analytics
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  • Video Duration: icon 8.5h
  • Price: 11.99 Track Price 11.99 Track Price
  • Provider: icon Udemy
  • Year: icon 2021
  • Level: Beginner Beginner
  • Language: icon English, English [Auto-generated], Indonesian [Auto-generated], 5 more
  • Certificate: icon Yes
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