Microsoft Excel for Scientists and Engineers by Prof. Samer

This course teaches essential Excel skills specifically designed for professionals in science and engineering. Participants will gain practical knowledge in data analysis, enabling them to effectively utilize Excel for various analytical tasks.

Key Skills You Will Learn

• data visualization techniques: Master the creation of various chart types, including XY scatter graphs and combination charts, to effectively present your data and enhance understanding.
• regression analysis methods: Engage with trendlines, interpolation, and the LINEST function to analyze relationships between variables and make informed predictions based on your findings.
• optimization techniques in Excel: Learn to use Goal Seek and Solver for optimizing complex problems, alongside nonlinear regression for advanced data modeling and analysis.
• numerical integration methods: Explore techniques like the Rectangle Rule and Simpson’s Rule, as well as methods for solving differential equations, including Euler’s Method and the Runge Kutta Method.

By the end of this course, you will have enhanced your analytical capabilities and be equipped to tackle complex data challenges in your scientific or engineering work.

Who This Course Is For

• Scientists looking to improve their data analysis skills using Excel for research and experiments.
• Engineers who need to analyze data and create visual representations for projects and presentations.
• Students in STEM fields seeking to gain practical Excel skills for academic and professional success.

File Details
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Total Size: 2.4GB

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– Enter your email address in the "Message" field at checkout.
– Your Google Drive access link will be emailed immediately after payment confirmation.
– Enjoy Lifetime Access to stream or download your files.

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