We will start the journey with the fundamentals of Python and then proceed to learn about the core libraries used in the Py-Finance domain, including Numpy, Pandas, Matplotlib, and much more!
We will cover the following topics that are used by many finance professionals in their day-to-day:
- Python Data Types, Functions, Conditions and Loops
- Numpy Python Libraries, Arrays, Indexing, and Operations
- Pandas Series, Data Frame, Moving Average
- Matplotib Types of Plots, Seaborn
- Scikit Learn Prediction Models, Regression
This Python for Finance Course will teach you:
- Where is Python used in the Finance Industry
- Basics of Python programming
- Use of Numpy for arrays and statistics
- Pandas for data handling and pre-processing
- Matplotlib to create beautiful visualizations of your data
- Prediction on your data using Scikit-learn
- Actual implementation of your leanings in two Finance projects
Check out the Course Curriculum for the complete list of videos in this course.
COURSE AUTHOR: Jai Kotia
- Computer Engineer and Experienced Data Scientist
- Research Author of several publications on Python Programming
- Actively working involved in Machine Learning, particularly Deep Learning
- Renown Programming Mentor and Founder of AI blog éclairé
