Linkedin - Data Analytics for Business Professionals (2025)

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Free Download Linkedin - Data Analytics for Business Professionals (2025)
Released 04/2025
With John Johnson
MP4 | Video: h264, 1280x720 | Audio: AAC, 44.1 KHz, 2 Ch
Skill Level: Intermediate | Genre: eLearning | Language: English + subtitle | Duration: 1h 20m 31s | Size: 202 MB

Learn how to apply foundational data concepts and subject matter expertise to assess and validate complex analyses in an AI analytics environment through detailed case studies.
Course details
Hearing the phrase "AI analytics" can sound daunting but don't fret. In this course, instructor John Johnson teaches you how to think about AI as a super tool that can make you more efficient and effective. Data analytics can help cut costs, speed up delivery, generate forecasts, and improve outcomes for your business over time.
Rather than trying to teach the complicated mathematical and statistical techniques that an AI tool may use, John focuses on the role of a business professional in assessing, interpreting, and applying their outputs in the context of complex business decisions through targeted case studies. Find out how to collect, clean, and aggregate data from different sources across your organization, and identify when data is flawed. John gives you pointers on planning and deploying an analytics strategy that fits the specific needs of your business, covering a variety of simple techniques: averages, sampling, cherry picking, forecasting, correlation, causality, and more.
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Data Analytics for Business Professionals
Duration: 1h 16m | .MP4 1280x720, 30 fps(r) | AAC, 48000 Hz, 2ch | 326 MB
Genre: eLearning | Language: English​

What can data analytics do for your business? Take a lesson from companies like Xerox and UPS, with qualitative and quantitative examples along the way. Data analytics can help cut costs, speed up delivery, generate forecasts, and improve outcomes for your business over time. In this introductory course, economist and author John Johnson shows you how to use analytics to make data-driven decisions and gain competitive advantage.Explore examples of real-life analytics in action, distinguishing between predictive and prescriptive approaches, and learning how to formulate and pose your own questions. Find out how to collect, clean, and aggregate data from different sources across your organization, and identify when data is flawed. John gives you pointers on planning and deploying an analytics strategy that fits the specific needs of your business, covering a variety of simple techniques: averages, sampling, cherry picking, forecasting, correlation, causality, and more.

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