Python for Finance: Investment Fundamentals & Data Analytics 2021|

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Firstly, are you a young professional interested in a career in Data Science, Python for finance analysis?

Or, 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.

Python for Finance: Investment Fundamentals & Data Analytics
Python for Finance: Investment Fundamentals & Data Analytics

Certainly, this course will help you learn Python Programming and also, conduct Real-World Financial Analysis in Python – Complete Python Training.

Table Of Contents

We are proud to present Python for Finance: Investing Fundamentals and Data Analysis. One of the most interesting and comprehensive courses we have created so far. It took a little over four months for our team to create this course, but now it’s ready and waiting for you.

If you are an absolute beginner and don’t know anything about coding, don’t worry.

We will start with the basics. The first part of the course is ideal for beginners and people who want to brush up on their Python skills. Once we have covered the basics, you are ready to perform financial calculations and portfolio optimization tasks.

Finance Fundamentals

Python for Finance: Investment Fundamentals & Data Analytics

And it gets better. The financial block of this course gives you the skills employers are looking for in practice. To be a highly paid developer, you must specialize in a particular area of interest.

In this course, we focus on finance and cover many tools and techniques used by financial professionals on a daily basis such as:

  • 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

Interestingly, everything is included. Do you know? All these topics are first explained in theory and then applied in practice using Python.

Also read: 10+ Best Selling Courses On Udemy in 2021 Free Download

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

This course is excellent, even if you are an experienced programmer. As we will teach you a lot about the financial theory and mechanics you need when working in a financial context.

Teaching is our passion

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

Thanks to the team for making such a wonderful course. The way basics are explained is the best. Being a newcomer to python programming, I could understand everything. The exercises after each lecture helped in improving my understanding of the concept – Prajesh P Gupta

If you have any questions, please contact us. We like to communicate with our students and are proud to respond on the same business day. Our goal is to create high-quality 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?

  • In this course, you will learn how to program in Python and use these skills in the financial world. It is both a programming and finance course.
  • High-quality production: HD videos and animations (this is not a collection of boring lectures!)
  • Experienced instructors. Martin is a wealthy geek fascinated by the world of data science, and Ned is a multi-year financial professional who loves to explain financial problems here at Udemy.
  • Comprehensive Training: We will cover all the key topics you need to understand to get started coding in Python and solving the financial issues presented in this course (and there are plenty!).
  • Extensive case studies to help you dig deeper into what 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 just want to send us a message, you will receive a response within one business day.
  • Dynamic: we don’t want to waste your time! The instructors maintain a very good rhythm throughout the course.
  • Bonus Prizes: After completing 50% and 100% of the course, you will receive two bonus gifts.

Also, students in this course who complete 50% of the lessons have lifetime access to our five-star “Beginners to Professionals in PowerPoint” course. It is priced at $ 150.

In addition, students in this course who complete 100% of the lessons will have lifetime access to our five-star course, “The Power Modeling Bootcamp: Excel Advanced in 10 Days.” The price is $ 150.

Also read: JavaScript Tutorial and Projects Course|Free Download

Remember that the course comes with Udemy‘s unconditional 30-day money-back guarantee. And why not give that guarantee when we are convinced that the course offers you a lot of value?

Benefits of the Python for finance course

Python for Finance: Investment Fundamentals & Data Analytics
  • 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 the 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

Also read: Top 10 programming languages you can learn in 2021

Requirements of the Python and finance course

  • 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

Who is the course for

  • 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

Click on the link below to get the course!


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