Excel Data Science with Power BI & R
Excel Data Science with Power BI & R
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Published 10/2024
MP4 | Video: h264, 1280x720 | Audio: AAC, 44.1 KHz, 2 Ch
Language: English | Duration: 6h 49m | Size: 3.29 GB
Power BI and R
What you'll learn
Learn to combine Power BI's visualization with R's advanced statistical analysis for powerful data insights and decision-making in any business environment.
Master Power BI's dashboards and R's statistical techniques to analyze trends, forecast outcomes, and drive data-driven decisions for business success.
Discover how to integrate Power BI and R for dynamic visualizations, advanced analytics, and actionable insights to enhance your data analysis skills.
Elevate your data skills by learning how to merge Power BI's visual tools with R's statistical power to create impactful insights for business decisions.
Requirements
Basic Knowledge of Power BI: Familiarity with Power BI's interface and basic data visualization techniques is recommended.
Understanding of R or Programming Basics: Prior experience with R or a general understanding of programming and data manipulation is helpful, but not mandatory.
Foundational Data Analysis Skills: Basic knowledge of data analysis concepts, such as working with datasets, interpreting data, and creating simple reports, is ideal.
Access to Power BI and R: Ensure you have access to both Power BI and R installed on your system to follow along with the exercises.
No prior advanced experience in Power BI or R is required, as the course will guide you through their integration step by step.
Description
Excel TV is excited to offer our premium course, Data Science with Power BI & R, led by renowned data science expert, Ryan Wade. This course is designed to equip professionals with the skills to harness the full potential of Power BI's advanced visualization features and the robust statistical computing power of R.In today's data-driven world, businesses are increasingly relying on insights gleaned from vast datasets. Power BI, with its intuitive and dynamic dashboards, allows users to visualize and interpret data with ease. However, to gain deeper, more complex insights, R's statistical computing capabilities are indispensable. This course brings together the best of both worlds, teaching you how to seamlessly integrate these two powerful tools for comprehensive data analysis.Under Ryan Wade's expert guidance, you'll not only learn how to create compelling visual reports using Power BI, but also how to implement advanced statistical techniques with R to analyze trends, forecast outcomes, and derive actionable insights. Whether you're a business analyst, data scientist, or aspiring professional, this course will empower you to take your data analysis skills to the next level.By the end of the course, you'll have mastered the ability to generate impactful, data-driven insights that can drive strategic decision-making within any organization. Don't miss this opportunity to elevate your data science expertise with Excel TV's Data Science with Power BI & R course!
Who this course is for
Business Analysts: Professionals looking to enhance their data analysis skills by integrating Power BI's visualization with R's advanced statistical capabilities.
Data Scientists: Individuals who want to leverage Power BI for interactive dashboards while applying R for deeper statistical analysis and forecasting.
Aspiring Data Professionals: Those seeking to enter the data science field, looking to gain practical knowledge in using both Power BI and R for comprehensive data insights.
Decision Makers and Strategists: Executives and managers who want to better understand how to drive data-driven decisions using advanced analytics and visualization.
Power BI Users: Current Power BI users interested in expanding their skills by incorporating R's robust data manipulation and analysis techniques.
Homepage:
Kod:
https://www.udemy.com/course/excel-data-science-with-power-bi-r/
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rapidgator.net:
Kod:
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https://rapidgator.net/file/b665ae6c74e834af60aeafdf115c669b/umgwv.Excel.Data.Science.with.Power.BI..R.part4.rar.html
ddownload.com:
Kod:
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