In Data Science mainly relies on working with two types of data – cross-sectional and time series. This course will help you master the latter by introducing you to ARMA, Seasonal, Integrated, MAX and Volatility models as well as show you how to forecast them...
Credit risk modeling is the place where data science and fintech meet. It is one of the most important activities conducted in a bank and the one with the most attention since the recession. This course is the only comprehensive credit risk modeling course in Python...
Advanced proficiency in Microsoft Excel helps you to be faster, more efficient and smarter. It safeguards you from making mistakes when working with numbers. If you want to specialize in Finance, then this is one of the most important skills you need to acquire. In...
R is one of the best programming languages specifically designed for statistics and graphics. Programming in R is a fast and effective way to perform advanced data analyses and manipulations. In this course, you will learn how to use R and utilize the many data...
Machine and deep learning are some of those quantitative analysis skills that differentiate the data scientist from the other members of the team. The field of machine learning is the driving force of artificial intelligence. This course will teach you how to leverage...
SQL is one of the fundamental programming languages you need to learn to work with databases. When you are a data scientist in a company and you need data to perform your analysis, you usually have two options: extract it on your own or contact the IT team. Of course,...
