Learn how to use Azure Machine Learning notebooks for experimentation. Similar to Jupyter, the notebooks are ideal for exploring your data and developing a machine learning model.

You will learn Business Intelligence, Data Requirements, data analysis, Dashboards, Data warehouse & Mining

This module is an introduction to the Microsoft Fabric Eventstream within Real-Time Intelligence (RTI).

Use tools to develop, manage, and optimize Power BI data model and DAX query performance.

Entity Framework Core is a modern, lightweight, open-source, cross-platform object-relational mapper.

Discover how to perform geospatial analysis using GeoPandas in Python, focusing on spatial data manipulation and visualization techniques.

Explore geospatial analysis techniques using GeoPandas in Python, focusing on mapping and spatial data manipulation.

Learning machine learning basics and how to build machine learning models.

Gain the skills to transform data into stories, using the DIKW pyramid and the Altair Python library.

Learn how to read and write optical labels using Python, focusing on data extraction and integration with other applications.

Understand the application of R for data analysis in social sciences, emphasizing statistical methods and data visualization techniques.

Learn how to use R for data analysis in social sciences, focusing on statistical methods, data visualization, and practical applications for social research.