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
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 practice best practices.
Intro to Data Analyst Role (1.5h)
Requirements Collection (1.5h)
Data Cleansing Process (4h)
Critical Thinking & Data Analysis (8h)
Previous experience using basic computer applications
Online / Face to Face / Hybrid / Self Learning
Participants will learn Google Sheets functionalities and capabilities on two levels:
Using the most fundamental analytical tool – Google Sheets.
Apply the main capabilities of Google Sheets and use them freely.
Data storytelling (9h)
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)
Self Paced / Office Hours / Hybrid
Presentation of the project in a formal forum.