This repository shows my projects during the Power BI course by Data Science Academy. The course presents not only how to use Microsoft Power BI, but to apply Data Science techniques to generate predictive models and extract insights for decision making.
- Chapter 1- Introduction
- Chapter 2- Getting started with Power BI Desktop
- Chapter 3- Business Intelligence in Power BI
- Chapter 4- Modeling, Relationship and DAX
- Chapter 5- Cleaning, Transformation, Time Series, Aggregation and Filters
- Chapter 6- Graphs and charts
- Chapter 7- Interactive dashboards
- Chapter 8- Microsoft Power BI Mobile
- Chapter 9- Microsoft Power BI and Google Analytics
- Chapter 10- Relational database visualization
- Chapter 11- Fundamental statistics for Data Science
- Chapter 12- R language and Power BI for statistical analysis
- Chapter 13- Python language and Power BI for data manipulation
- Chapter 14- Microsoft Power BI and Apache Spark for Big Data Processing
- Chapter 15- Data analysis and Machine Learning
- Chapter 16- SQL Analytics
- Chapter 17- Power Automate
- Chapter 18- Power Virtual Agents
- Chapter 19- Power Apps
- Chapter 20- Data Lake, Dremio and Power BI for sales analysis
Data Science Academy - https://www.datascienceacademy.com.br/