Analyzing the Data
35,000+
Per Scholas Professionals in the Workforce
25+
Markets Nationwide
1,000+
Employer Partners
Build Sustainable Data Talent Pipelines
Specialized data engineers and analysts are in short supply. Most training is generic or theoretical, resulting in candidates without platform-specific experience.
Per Scholas training uses programs built to create new talent pipelines while upskilling existing employees on your platforms. Alumni are productive from day one.
Rigorous Training for Real Operational Requirements
All Per Scholas programs are built in collaboration with industry experts and partners. Learners gain real-life, AI-enabled hands-on experience with the tools and environments they'll use during their day-to-day working life: Power BI, Salesforce, SAP, and more.
Per Scholas alumni can continue growing their skills after employment via the Career Accelerator upskilling program.
Roles We Train For
Per Scholas alumni can step into the most demanding data analysis roles.
Data Engineer
Gain access to professionals skilled in Python, SQL, data pipelines, and visualization platforms like Tableau and Spark.
Power BI Developer
Gain access to professionals fluent in SQL programming and impactful data visualizations
Salesforce Administrator
Gain access to professionals skilled in building data models, security, and workflow automation using Flow and AI-powered Agentforce.
SAP Backend Developer
Gain access to professionals skilled in ABAP Cloud, RAP services, and CAP side-by-side extensions.
Data and Analytics Courses Available
4 Matching Courses Found
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This 16-week course is designed to build AI-native business intelligence skills. Learners frame business questions with AI copilots, acquire and prepare data with Excel, Power Query, and SQL, model governed semantic layers in Power BI with DAX, and deliver stakeholder-ready dashboards and narratives. This intermediate course is designed for aspiring data analysts, BI practitioners, and professionals upskilling into analytics roles.
16 weeks440 training hoursThis 15-week course is designed to build AI-native business intelligence skills. Learners frame business questions with AI copilots, acquire and prepare data with Excel, Power Query, and SQL, model governed semantic layers in Power BI with DAX, and deliver stakeholder-ready dashboards and narratives. This intermediate course is designed for aspiring data analysts, BI practitioners, and professionals upskilling into analytics roles.
15 weeks412.5 training hoursPower BI Data Analyst Associate PL-300 · Google AI ProfessionalThis 10-week course builds data analytics skills with Power BI. Learners cover the fundamentals of relational databases and SQL and build confidence in querying and data manipulation.
No-Cost10 weeks90 training hoursThis 14-week course is designed to provide a comprehensive introduction to data engineering, covering fundamental concepts such as Linux and shell scripting, version control with Git, Python programming, SQL, data integration, ETL processes, data analytics, and visualization techniques. This intermediate-level course is designed for aspiring data engineers, analysts, and software developers looking to build a strong foundation in data engineering.
14 weeks385 training hours
No courses match those filters.
Recognize/AST and Per Scholas Partnership
Per Scholas worked closely with private equity firm Recognize and enterprise systems integrator AST to transform their hiring strategy. A customized training solution was tailored to AST's needs, creating a team of 10 highly skilled Salesforce consultants.
Jack Berney, Principal at Recognize, said, "The most important part is they're highly skilled and ready for the challenge."
Thought Leadership
