Python is the one of the best solutions to quantitatively analyze financial data. This hands-on course helps both developers and quantitative analysts to get started with Python, and guides you through the most important aspects of using Python for quantitative finance. Topics include Time Series Analysis, Valuation, Portfolio Theory, Monte Carlo Simulation, VaR and Visualization.
This course covers the essential concepts in Python 3 showing how to implement them in various applications. Throughout this course, you will be building multiple applications ranging from simpler ones to more complex ones. Learning by doing has its advantages as you will immediately see the concepts explained in action. By the end of the course, you will build upon your basic programming skills taking your programming skills to another level and conveniently build projects with Python 3.7.
This course will empower you with new possibilities using NumPy and pandas that you probably never knew existed, and tips to use them to increase your efficiency and productivity in your daily tasks. Each section will cover key tips, tricks, and techniques for efficient data analysis in NumPy and pandas that you can apply in your own real-world scenarios to increase your output. We’ll also cover features in NumPy and pandas and leverage them to simplify the way you use them for your data science requirements. By the end of this course, you will be able to get the best out of your code much faster and and more efficiently.
Clear easy to follow tutorial in web page design for the absolute beginner. Covers a lot of ground in a short format allowing you to get a complete overview of web development quickly. Great for someone who looking for an overview in web design or as a foundation for someone just starting out in web page development.
Hour of code themed video tutorials. If you are interested in the hour of code "movement" and are looking for projects, here are a couple of suggestions that take you through working examples of Python programs that will capture the imagination of young learners.