Data Analytics
Showing 349–360 of 712 results
Getting Started with SQL and Relational Databases
A beginner's guide to SQL and relational databases, focusing on database design, query writing, and data management techniques.
Getting Started with TypeScript ORM Libraries for Node.js
This course covers concepts related to Typescript, ORMs, SQL and how they blend to build modern Node.js applications
Getting Started: Data Analysis with Alteryx
In this course you will learn the features of Alteryx, how to source in data, massage data, and generate dashboards out of data.
Google Analytics for Creative Professionals
This course will cover how to use Google Analytics, to guide your creative choices. Aimed at creative pros who may be great with design tools, but shy away from spreadsheets, this course cuts through the jargon to deliver lessons that make sense.
Govern data across an enterprise
Use Microsoft Purview to register and scan data, catalog data artifacts, find data for reporting, and manage Power BI artifacts to improve data governance in your organization.
Grouping Data into Bins and Categories
In this course, Grouping Data into Bins and Categories, you'll learn the techniques of data binning, bin management, and data visualization to analyze large data sets and make data-driven decisions.
Guided project – Analyze logs in Azure Monitor with KQL
Write log queries to find answers to operational and business questions. Use Kusto Query Language (KQL) to extract insights from logs in Azure Monitor.
Handling Missing Data with Imputations in R
Diagnose, visualize and treat missing data with a range of imputation techniques with tips to improve your results.
How Power BI Users Can Talk to Data Engineers
A Power BI report is only as good as the data that drives it; so how do you make sure you've got the best and most effective data? This course helps you understand who owns the data in your organization so you can get the right data when you need it.
How to Choose a Linear Regression Model
Learn about the differences between different regression models and how to decide which one to use.
HR Analytics: Exploring Employee Data in R
Learn how to manipulate, visualize, and perform statistical tests through a series of HR analytics case studies.
HR Analytics: Predicting Employee Churn in Python
In this course you'll learn how to apply machine learning in the HR domain.