Descriptions
Finance Fundamentals in Python, Learn the finance and Python fundamentals you need to make data-driven financial decisions. There’s no prior coding experience needed. In this track, you’ll learn about data types, lists, arrays, and the time value of money, before discovering how to work with time series data to evaluate index performance. Throughout the track, you’ll work with popular Python packages, including pandas, NumPy, statsmodels, and pyfolio, as you learn to import and manage financial data from different sources, including Excel files and from the web. Hands-on exercises will reinforce your new skills, as you work with real-world data, including NASDAQ stock data, AMEX, investment portfolios, and data from the S&P 100. By the end of the track, you’ll be ready to navigate the world of finance using Python—having learned how to work with investment portfolios, calculate measures of risk, and calculate an optimal portfolio based on risk and return.
What you’ll learn
- Learn to use Python for financial analysis using basic skills, including lists, data visualization, and arrays.
- Build on top of your Python skills for Finance, by learning how to use datetime, if-statements, DataFrames, and more.
- In this course you’ll learn the basics of working with time series data.
- In this course, you’ll learn how to import and manage financial data in Python using various tools and sources.
Specificatoin of Finance Fundamentals in Python
- Publisher : Datacamp
- Teacher : Adina Howe
- Language : English
- Level : All Levels
- Number of Course : 6
- Duration : 25 hours and 0 minutes
Content of Finance Fundamentals in Python
Pictures
Sample Clip
Installation Guide
Extract the files and watch with your favorite player
Subtitle : English
Quality: 720p
Download Links
Importing and Managing Financial Data in Python
Intermediate Python for Finance
Introduction to Financial Concepts in Python
Introduction to Portfolio Analysis in Python
Introduction to Python for Finance
Manipulating Time Series Data in Python
Password file(s): www.downloadly.ir
File size
492 MB