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LearnLearning Paths to Build Job-Ready Data Skills
Find your perfect path, and build the exact skills you need with self-paced courses and guided projects curated by expert instructors
+4
Business Intelligence Analyst

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

92 Hours
7 Courses
4 Projects
+3
Data Visualization Expert

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

90 Hours
6 Courses
3 Projects
+1
Excel Specialist

This path is for Excel users looking to ace the Microsoft MO-201 Exam and build a deep, expert-level skill set, including formulas, charts, PivotTables, Power Query and more

78 Hours
6 Courses
3 Projects
+1
Python for Data Science

This path is for data professionals looking to build job-ready machine learning skills with Python, including regression, classification, unsupervised learning and more.

76 Hours
4 Courses
1 Project
+1
Python for Data Analytics

This path is for data professionals looking to master Python's most powerful data analysis and visualization tools, including Pandas, Matplotlib, Seaborn, Plotly & Dash.

76 Hours
4 Courses
3 Projects
+1
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

74 Hours
4 Courses
2 Projects
+1
Tableau Specialist

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

65 Hours
6 Courses
2 Projects
+1
MySQL Specialist

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

50 Hours
4 Courses
2 Projects
Machine Learning Foundations

This path is a high-level, visual introduction to the world of machine learning, with simple explanations and Excel-based demos designed to demystify complex topics.

15 Hours
4 Courses
0 Projects

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