Learn Python Programming.
- Take your mission to the next level.
- Use the expressions, functions, sequences and conditional loops in Python.
- Working with scientific packages, such as NumPy
- Understanding how to use the Data Analytics Toolkit, Pandas.
- Create a graph with Matplotlib.
- Use Python to solve real-world tasks.
- Find a job as a data scientist in Askon.
- Get strong financial insights.
- Perform a detailed investment analysis.
- Construction of investment sectors
- Calculate the risk and return of individual securities
- Calculate risk and return on investment sectors
- Apply best practices when dealing with financial statements.
- Use of variable and multivariate regression analysis
- Understand the capital goods pricing model
- Compare stocks in high proportion.
- Monte Carlo languages achievements
- Learn how to apply blacklist formulas by applying cost options.
- Feel free to apply for a developer position in a financial institution.
Need
You need to install Anaconda. We'll show you how to do this in one of the first lectures of the course.
All software and data used in the course are free of charge.
a description
Do you want to learn how to use Python in a work environment?
Are you a young professional interested in a career in data science?
Want to learn how to implement Python in the financial world and solve wallet optimization problems?
Then this is the right way for you!
We are proud to present Python for Finance: Fundamentals of Investment and Data Analytics - a complete and very interesting course that we have created so far.
An exciting journey from start to finish.
If you are a beginner and don't know much about programming, don't worry! Let's start with the basics. The first part of the course is ideal for beginners and those who want to improve their skills in Python. And again, this could mean spending money on these operations.
Funding Basics
And it gets better! The financial portion of this course will teach you the real-world skills that employers are looking for. To become a well-paid programmer, you need to specialize in a specific area of interest. In this course we will focus on finance, as we cover the many tools and techniques used by financial experts on a daily basis:
Inventory return rate
equity risk
stock portfolio return
Equity Portfolio Risk
Relationships between stocks
beaver
Various and non-diverse risks
regression analysis
Alpha and Son Depth
Measure the descriptive power of the regression using R^2.
Boundary Calculation Efficiency Marks
Actual capital, estimate example
High percentage
Multivariate regression analysis
Monte Carlo simulation
The use of Monte Carlo in corporate finance
Derivatives and their types
Implementation of the black school formula
Use Monte Carlo for optional rates
Using Monte Carlo for stock prices
Everything is included! All these topics are first explained in theory and then implemented in practice using Python. This is a great way to reinforce what you've learned.
This course is great even if you are an experienced programmer as we will teach you a lot about financial theory and mechanics that you will need if you are going to work in finance.
Teaching is our passion.
What we learn is well explained. Clear English, relevant examples, and time-consuming lessons. Don't forget to watch some of our sample videos to see how easy it is to understand them.
Contact us if you have any questions! We love talking to our students and take pride in responding so quickly. Our goal is to create high quality content that is entertaining, exciting, job-enhancing and rewarding.
What is the difference between this course and the programming and finance courses out there?
This course teaches you to code in Python and apply these skills in the financial world. This is a programming and finance course.
HIGH QUALITY OUTPUT - HD video and animation (this is not a combination of boring lectures!)
Conscious teachers. Martin is Quent Jack from the world of data science, and Ned is an accomplished financial practitioner with many years of experience who enjoys explaining practical and financial topics at Udemy.
Complete Training - We'll cover all the main topics you need to understand to start programming in Python and solve the financial issues presented in this course (and there are many!)
A comprehensive case study that will help you reinforce everything you have learned.
Course Challenge: Solve our exercises and turn this course into an interactive experience.
Best Support: If you don't understand an idea or just want to give us a line, you'll receive a response within 1 business day.
Dynamic: We don't want to waste your time! The teachers set a good pace throughout the course.
Remember that this course comes with Udemy's unconditional 30-day money-back guarantee. And why not offer such a guarantee, if we believe that the course will bring you great value?
Click 'Buy Now' to start your learning journey. We look forward to seeing you on the course.
This course is open to all:
- Expected Data Scientist
- Programming beginners
- People are interested in financing and investing.
- Programmers who want to specialize in finance.
- Anyone who wants to learn programming and put their skills into practice.
- Financial and professional graduates who need to apply their knowledge in Python well.
Here is the download links
https://www.udemy.com/course/python-for-finance-investment-fundamentals-data-analytics/
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