Data Science
Showing 793–804 of 1367 results
Introduction to Predictive Analytics in Python
In this course you'll learn to use and present logistic regression models for making predictions.
Introduction to Process Mining
This short course provides an introduction to IBM Process Mining.
Introduction to PyTorch
In this module, you learn key concepts used to build machine learning models with PyTorch. You also train a neural network model that recognizes and classifies images.
Introduction to R and Machine Learning using R
Machine learning is a technique that uses large data sets to make predictions. R is an open source, statistical software that is always evolving. In this course you can learn how...
Introduction to R Programming
This Free Online Course Includes: 1.5-3 Hours of Learning CPD Accreditation Final Assessment
Introduction to Redshift
Master Amazon Redshift's SQL, data management, optimization, and security.
Introduction to Regression in R
Predict housing prices and ad click-through rate by implementing, analyzing, and interpreting regression analysis in R.
Introduction to Regression with statsmodels in Python
Predict housing prices and ad click-through rate by implementing, analyzing, and interpreting regression analysis with statsmodels in Python.
Introduction to Spark with sparklyr in R
Learn how to run big data analysis using Spark and the sparklyr package in R, and explore Spark MLIb in just 4 hours.
Introduction to Statistics
Learn the fundamentals of statistics, including measures of center and spread, probability distributions, and hypothesis testing with no coding involved!
Introduction to statistics
Descriptive and inferential statistics, hypothesis testing, correlation, estimation, statistics used for research
Introduction to Statistics and Data Analysis with SAS
Learn SAS Studio software for Data Analysis