Learn to implement distributed data management and machine learning in Spark using the PySpark package.
4 Hours
Lore Dirick
Director of Data Science Education at Flatiron School
Lore is a data scientist with expertise in applied finance. She obtained her PhD in Business Economics and Statistics at KU Leuven, Belgium. During her PhD, she collaborated with several banks working on advanced methods for the analysis of credit risk data. Lore formerly worked as a Data Science Curriculum Lead at DataCamp, and is and is now Director of Data Science Education at Flatiron School, a coding school with branches in 8 cities and online programs.
Courses led by Lore Dirick
Learn essential data structures such as lists and data frames and apply that knowledge directly to financial examples.
4 Hours
Learn about how dates work in R, and explore the world of if statements, loops, and functions using financial examples.
5 Hours
Apply statistical modeling in a real-life setting using logistic regression and decision trees to model credit risk.
4 Hours
Strengthen your knowledge of the topics covered in Manipulating Time Series in R using real case study data.
4 Hours