Data Analytics
Showing 577–588 of 722 results
Prepare to maintain SQL databases on Azure
Explore the role of a database administrator on Azure. Describe SQL Server-based offerings on Azure.
Preprocess data with Data Wrangler in Microsoft Fabric
Data Wrangler serves as a comprehensive tool for preprocessing data. It enables users to clean data, handle missing values, and transform features to build machine learning models.
Principles of Data Literacy
Discover the world of data in this fully conceptual course where you will learn how to think about, visualize, and analyze data.
Probability
Learn the fundamentals of probability and how to quantify and visualize uncertainty.
Processing Real-world Data Efficiently with Rust
Harness Rust's powerful data structures system and become a Rust data wizard through real-world examples and hands-on projects.
Professional Administrator of IBM Cloud Pak for Data: Learning Path Overview
In this course, you will be introduced to the learning path for professional administrator of Cloud Pak for Data.
Profile Your Data with Power BI
This course will teach you how to profile your data and clean unwanted anomalies and errors in your datasets with Power BI.
Program with Transact-SQL
Learn how to use programming techniques in your Transact-SQL.
Protect data in-transit and at rest
Explore encryption options available within Azure SQL, including firewall rules, Always Encrypted, and Transport Layer Security. Understand how SQL Injection works.
Provisioning Premium Capacity as a Power BI Admin
Provisioning and managing a Premium Capacity in Power BI is a mastery on its own! This course will teach you how to configure and manage Premium Capacities in Power BI, to efficiently support your organizational workloads.
Pygal 2: Python Data Playbook
This course covers the important aspects of building visualizations in Pygal, using styles and configurations to govern chart behavior, rendering and exporting to SVG and other specialized formats, and serving Pygal visualizations in web content.
Python Data Analysis and Visualization
Learn data analysis and visualization techniques using Python, focusing on libraries such as Pandas, Matplotlib, and Seaborn for effective data representation.