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Guided learning journeys that build knowledge step by step.
category · Learning · slug · learning · 7812 Paths
7812 Paths · page 376 / 782
This learning path equips HR professionals with the skills to apply data analytics to talent management and workforce planning. It covers data basics, key HR metrics, predictive modeling for attrition, and strategic workforce planning, culminating in a capstone project.
This learning path equips BI professionals with the knowledge to design, implement, and govern business intelligence solutions. It covers the end-to-end pipeline from data sources through ETL, warehousing, semantic modeling, and visualization, culminating in strategic tool selection and governance.
This learning path equips power users with advanced Excel skills for complex data analysis and modeling. It covers data cleaning with Power Query, data modeling with Power Pivot, advanced formulas including dynamic arrays, VBA automation basics, and optimization with Solver. The path progresses from foundational data analysis concepts to advanced modeling techniques, ensuring a systematic and practical learning experience.
This learning path equips analysts with the skills to transform data findings into compelling, action-driving presentations. It covers audience understanding, narrative structure, insight framing, visualization selection, presentation design, delivery techniques, and executive summaries, culminating in a capstone project.
This advanced learning path equips financial analysts with systematic skills to analyze financial data for business performance evaluation and investment decisions. It covers financial statement analysis, ratio analysis, budgeting and forecasting, variance analysis, financial modeling, and profitability analysis, integrated with modern data analytics techniques.
This learning path equips product managers and analysts with the skills to use data for guiding product development and feature optimization. It covers essential analytics foundations, user behavior tracking, product metrics, retention and user journey analysis, and concludes with A/B testing for evidence-based decisions.
This learning path equips marketing analysts with the skills to analyze campaign performance and optimize marketing spend. It covers analytics fundamentals, campaign tracking, attribution modeling, ROI analysis, customer acquisition cost, lifetime value, funnel analysis, and segmentation, culminating in a capstone project.
This learning path equips product and marketing analysts with the skills to analyze user behavior over time. It covers defining cohorts, building cohort tables, visualizing retention curves, and deriving actionable insights for engagement and churn reduction. The path integrates SQL and data analytics fundamentals, progressing from basic concepts to practical applications.
This learning path equips digital analysts with the statistical foundation and practical skills to design, run, and interpret A/B tests for business decisions. Starting with core statistics, it progresses through hypothesis testing, experiment design, and analysis, concluding with advanced segmentation and common pitfalls. Each node builds on the previous, ensuring a coherent and applied learning journey.
This learning path equips analytics professionals with the skills to design, build, and maintain effective dashboards for monitoring business performance. Starting from foundational concepts of data visualization and BI tools, it progresses through KPI selection, layout principles, real-time vs batch considerations, user testing, and maintenance, culminating in performance optimization. The path emphasizes practical application using Tableau or Power BI.