This course will teach you to ensure ethical implementation of augmented analytics in your organization.

This course will teach you the principles of data lake, how storage architecture like data lake could be used to store massive chunks of data, and how it could be enabled using Azure Cloud Infrastructure.

Azure Cognitive Services are a set of tools and components that allow you to enrich applications with AI. This course teaches you the major features of the toolset as well as guidelines to deploy Azure Cognitive Services at Enterprise scale.

Master the complex SQL queries necessary to answer a wide variety of data science questions and prepare robust data sets for analysis in PostgreSQL.

Build Tidyverse skills by learning how to transform and manipulate data with dplyr.

Learn how to import and clean data, calculate statistics, and create visualizations with pandas.

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.

Designing an efficient data model is a mastery on its own. This course will teach you how to create and implement optimal, high-performing data models for different workloads.

Ever had trouble finding the perfect dataset for your project? This course will teach you how to use generative AI tools to painlessly create and deploy unlimited datasets for unlimited projects.

Learn how to prepare and model data for analysis and visualization.

Alteryx is a powerful tool to access your data and prepare it for analysis. This course will introduce you to common functions in Alteryx that will help you to cleanse your data to enhance its effectiveness for further analysis.

In this interactive Power BI course, you’ll learn how to use Power Query Editor to transform and shape your data to be ready for analysis.