Course on Data Visualization for Data Science: Microsoft Power BI

Why this course?

Integration: Power BI integrates easily with a range of data sources, including relational databases, cloud applications, and on-premise files.
Visualization: Power BI offers a wide range of data visualization options, which can be customized and configured to adapt to the specific needs of a business.
Advanced data analytics: Power BI includes a wide variety of advanced data analytics tools and capabilities, including the creation of custom data models, predictive analytics, and DAX programming language integration.
Accessibility: Power BI is accessible and easy-to-use, with an intuitive user interface and extensive documentation and online community support. Additionally, Microsoft offers a free version of Power BI Desktop allowing users to explore and experiment with the tool at no cost.
For those who want to learn Power BI from scratch. Aimed at people interested in detecting patterns and making predictions to aid decision-making.

Course aims

Visualization
Detection of patterns
Predictions

Professional competencies of the course

Career opportunities for Power BI users include data analyst, BI developer, technology consultant, project manager, or digital marketing specialist. Power BI is an important tool for data analysis and visualization and is highly-valued in numerous technological and business-related careers.

Study Plan

Power BI is a cloud-based business analysis solution that lets you easily access data from inside or outside a company from any device. This course will teach you to manage and visualize large quantities of data to analyze it and help detect trends and make predictions.

1. Visualization Tools and Techniques

This unit offers an introduction to Power BI, an essential tool for data analysis. Students familiarize themselves with the key components of Power BI and its user interface. They will also explore workflow in Power BI, including data collection and preparation, and learn how to transform data using the Editor, as well as the ability to model, visualize, and publish it.

Finally, participants are introduced to DAX, a programming and formula language used to dynamically create custom calculations. This knowledge will enable them to leverage Power BI skills and improve data analysis skills.

Introduction to Power BI
User interface
Workflow
Data collection and preparation
Data modeling
Introduction to DAX
Data visualization
Data report

*The academic program may be subject to changes in line with the changing demand for specific skills in the market. Your employability is our goal.

Course on Data Visualization for Data Science: Microsoft Power BI

Why this course?

Methodology

Study Plan