On-Site / On-line
Size (up to)
Master Data Analysis processes from A to Z
Use up-to-date tools and methods to uncover business insights
Apply data best practices to increase data accessibility for all stakeholders
size (up to)
Data Analysis Process
Data Storytelling & Visualization
Python for Analytics
No prior knowledge is required
Online / Face to Face / Hybrid
This course aims to provide practical working methods of Data Analysts / Business Analysts. During this course, the participants will review case studies and implement best practices.
Requirements Collection (1.5h)
Data Cleansing Process (4h)
Critical Thinking & Data Analysis (8h)
Transform data into a convincing narrative:
Data Storytelling (9h)
A deep dive into data modeling and data flows design methods as the infrastructure of traditional BI and data analysis
Data Modeling & Architecture (15h)
Online / Face to Face / Hybrid / Self Learning / Self Paced
Online / Face to Face / Hybrid / Self Learning
Fundamental functionalities and visualizations with Microsoft’s famous data analysis and reporting tool, including Power Query.
Using Power BI’s fundamental capabilities.Power BI is one of the most used analytical tools and has led the Gartner Magic Quadrant for years.
Fundamental functionalities and visualizations with one of the leading data analysis and reporting tools.
Using Tableau capabilities for data analysis and visualization. Tableau is one of the most popular analytical tools and has led the Gartner Magic Quadrant for years.
Learn to write basic Python scripts, as well as execute standard and complex analysis and data visualization using “pandas” library.
Pandas Beginner (15h)
Pandas Intermediate (10h)
Pandas Advanced (10h)