Data Analytics
Showing 193–204 of 712 results
Data Analytics on AWS: An Architectural Guide
Explore architectural best practices for data analytics on AWS, focusing on cloud services, data processing, and data management techniques.
Data Analytics: Hands On
Learn all of the key concepts in the world of data analytics. This course will walk you through everything you need to know to brush up on your data analytics knowledge or introduce you to every key area if you're entirely new to the subject.
Data Collection and Processing (CTIA Prep)
This course will teach you the basics of threat data collection, processing and generating effective threat intelligence.
Data Collection for Data Scientists
Learn effective data collection techniques. This course will teach you data collection techniques from a data scientist's perspective. It will also teach you how to apply those data collection techniques effectively.
Data Connections in Power BI
Discover the different ways you can enhance your Power BI data importing skills.
Data Literacy Case Study: Remote Working Analysis
Improve data literacy skills by analyzing remote working policies.
Data Literacy Essentials: Augmented Analytics Best Practices
This course will teach you some of the best practices to effectively implement augmented analytics initiatives in your organization.
Data Manipulation in Alteryx
Orchestrate data using unions, joins, parsing, and performance optimization in Alteryx.
Data Manipulation in Excel
Learn how to import, clean, validate, and protect data in Microsoft Excel.
Data Manipulation with dplyr
Build Tidyverse skills by learning how to transform and manipulate data with dplyr.
Data Manipulation with pandas
Learn how to import and clean data, calculate statistics, and create visualizations with pandas.
Data Mining and the Analytics Workflow
This course explains the continuing relevance of Data Mining today, in the context of applying machine learning techniques to big data. It covers conceptual and practical details of powerful techniques such as Association Rules learning and the industry-standard CRISP-DM methodology for data mining workflows.