Data Science
Showing 409–420 of 1082 results
Fraud Detection in R
Learn to detect fraud with analytics in R.
From Pandas to PySpark DataFrame
Transition from using Pandas to PySpark for big data processing, focusing on similarities and differences in data manipulation techniques.
From Pandas to PySpark DataFrame
Learn how to transition from using Pandas to PySpark DataFrame, focusing on distributed data processing techniques and performance optimization.
Fundamental Math for Data Science
Build the mathematical skills you need to work in data science.
Fundamentals of AI Fairness
Understand the principles of AI fairness and ethical considerations in AI development, focusing on bias detection and mitigation strategies.
Fundamentals of Bayesian Data Analysis in R
Learn what Bayesian data analysis is, how it works, and why it is a useful tool to have in your data science toolbox.
Fundamentals of Machine Learning for Software Engineers
The course will help you understand machine learning fundamentals by diving into theoretical concepts and algorithms of machine learning.
Fundamentals of Machine Learning: A Pythonic Introduction
Gain a solid foundation in machine learning concepts and techniques, focusing on Python implementations and best practices.
Game Data Science Using R
Learn to apply data science techniques in game development using R, focusing on data analysis and player behavior insights.
GARCH Models in Python
Learn about GARCH Models, how to implement them and calibrate them on financial data from stocks to foreign exchange.
GARCH Models in R
Specify and fit GARCH models to forecast time-varying volatility and value-at-risk.
GDPR Office 365 Readiness Course Compliance & Data Security
General Data Protection Regulation GDPR Office 365 Readiness Course: Compliance & Data Security with Compliance center