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Introduction to Career Skills in Data Analytics (2026)
Download this premium online course featuring high-quality video training, step-by-step lessons, practical demonstrations, and expert instruction. With Introduction to Career Skills in Data Analytics (2026), you'll gain practical knowledge through structured learning, hands-on examples, and real-world applications. This comprehensive eLearning resource is ideal for students, professionals, freelancers, and lifelong learners looking to develop valuable skills and stay current with modern industry practices at their own pace.
Released 6/2026
With Robin Hunt
MP4 | Video: h264, 1280x720 | Audio: AAC, 44.1 KHz, 2 Ch
Skill Level: Beginner | Genre: eLearning | Language: English + subtitle | Duration: 2h 48m | Size: 528.7 MB
Explore data analytics and business intelligence essentials, and learn to identify, prepare, transform, model, and visualize data using Excel, SQL, Power BI, and Copilot.
Course details
Whether you're exploring a career change or building new skills, understanding data analytics can open doors across industries. In this course, instructor Robin Hunt provides a clear, practical roadmap for anyone looking to break into data analytics—no technical background required. Robin steps through the essentials, from defining data analysis and business intelligence to identifying, preparing, transforming, modeling, and visualizing data using tools like Excel, SQL, and Power BI. Robin introduces key concepts such as data quality, data governance, and the difference between data-driven and data-informed decision-making. Along the way, she also helps you explore AI fluency with Copilot and learn questioning techniques to collect and interpret the right data. By the end, you have the foundation to map out your own path in data—whether that leads to data analysis, data engineering, visualization, or beyond.
Skills covered
Data Visualization, Tech Career Skills, Data Analytics, Career Development
Homepage
https://www.linkedin.com/learning/introduction-to-career-skills-in-data-analytics-32442526
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