__STYLES__

Your browser is not supported. Please download another browser to be able to use all of the Maven features.

Learn

Learning Paths For BI Analysts

Self-paced learning paths to help you build the skills you need to launch or accelerate your data career.

Explore learning paths

Business Intelligence Analyst

This path is for aspiring analysts and BI professionals looking to master a powerful stack of self-service business intelligence tools, including Excel, Power BI, MySQL and Tableau

  • 16
    Courses
  • 186
    Hours
  • Tools

Data Visualization Expert

This path is about bringing your data to LIFE, with project-based courses featuring some of the most popular data visualization platforms, including Excel, Power BI and Tableau

  • 8
    Courses
  • 88
    Hours
  • Tools

Excel Specialist

This path is for Excel users looking to build a deep, expert-level skill set, including formulas, charts, PivotTables, Power Query, and more

  • 12
    Courses
  • 88
    Hours
  • Tools

Power BI Specialist

This path is for users looking to master self-service business intelligence with Power BI Desktop & Service, build Advanced DAX skills, and ace the Microsoft PL-300 exam

  • 4
    Courses
  • 69.5
    Hours
  • Tools

Tableau Specialist

This path will help you build expert-level Business Intelligence skills with Tableau Desktop, Prep & Server, and ace the Tableau Desktop Specialist & Certified Data Analyst exams

  • 6
    Courses
  • 61.5
    Hours
  • Tools

MySQL Specialist

This path is for database administrators or data analysts looking to build expert-level MySQL skills, and practice applying them to real-world projects and case studies

  • 4
    Courses
  • 46
    Hours
  • Tools

Python Specialist

This path is for BI Analysts or Data Scientists looking to master Python's most powerful tools for data analysis and visualization, including Pandas, Matplotlib, Seaborn, Plotly and Dash.

  • 4
    Courses
  • 67.5
    Hours
  • Tools

Machine Learning Foundations

This path is for analysts looking to build a fundamental understanding of machine learning techniques, including profiling, classification, regression & unsupervised learning

  • 4
    Courses
  • 15
    Hours
  • Tools

Ready to become a

data rockstar?

Start learning for free, no credit card required!

Sign Up for Free