Learn how to perform financial analysis in Power BI or apply any existing financial skills using Power BI data visualizations.

Learn one of the key concepts of Financial Management: financial forecasting, and how to automate key steps in your forecasting process with Python.

Learn to implement custom trading strategies in Python, backtest them, and evaluate their performance!

This course covers the important techniques of exploring data in order to find relationships between variables, including techniques to summarize and describe your data, and several powerful visualization tools to express relationships in that data.

Discover how to implement and leverage Firebase Analytics for tracking user engagement and performance in Android apps.

Explore Firebase Analytics integration for iOS apps to analyze user behavior and app performance.

Learn how to identify important drivers of demand, look at seasonal effects, and predict demand for a hierarchy of products from a real world example.

Learn how to translate business questions to well-formed analytical questions and select the right analytical solutions.

Learn to detect fraud with analytics in R.

Learn how to transition from using Pandas to PySpark DataFrame, focusing on distributed data processing techniques and performance optimization.

Power BI Reports are an excellent way for your data to tell a story, but everything starts with properly obtaining it from various sources. This course will teach you how to gather external data with Power BI, as preparation for the PL-300 exam.

Save and use your machine learning models in Microsoft Fabric to generate batch predictions and enrich your data.