Data Analytics
Showing 433–444 of 712 results
Introduction to Data Science with Python
Learn the fundamentals of data science using Python, covering essential concepts, tools, and techniques for effective data analysis.
Introduction to Databricks
Learn about the Databricks Lakehouse platform and how it can modernize data architectures and improve data management processes.
Introduction to Hypothesis Testing
Learn how to run t-tests and binomial tests in this introduction to Hypothesis Testing.
Introduction to Importing Data in R
In this course, you will learn to read CSV, XLS, and text files in R using tools like readxl and data.table.
Introduction to Informix Terminology and Data Types (v12.10)
This course introduces students to basic Informix terminology, system access, and data types.
Introduction to Kubernetes and Red Hat OpenShift Container Platform
This learning offering will explain how does the Red Hat OpenShift Container Platform relate to IBM Cloud Pak for Data.
Introduction to Network Analysis in Python
This course will equip you with the skills to analyze, visualize, and make sense of networks using the NetworkX library.
Introduction to NumPy
Master your skills in NumPy by learning how to create, sort, filter, and update arrays using NYC’s tree census.
Introduction to Optimization in Python
Learn to solve real-world optimization problems using Python's SciPy and PuLP, covering everything from basic to constrained and complex optimization.
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 Redshift
Master Amazon Redshift's SQL, data management, optimization, and security.