Microsoft Excel for Scientists and Engineers
Unlock Excel's Potential: Data Analysis, Charting, and Advanced Techniques for Science & Engineering Professionals
What you will learn
Creating Charts: an XY scatter graph, XY chart with two Y-Axes, add error bars to your plot, create a combination chart
Using Functions: Computing Sum, Average, Count, Max and Min, Computing Weighted Average, Trigonometric Functions, Exponential Functions, CONVERT Function...
Conditional Functions: Logical Expressions, Boolean Functions, IF Function, Creating a Quadratic Equation Solver, Table VLOOKUP Function
Regression Analysis: Trendline, Interpolation and Forecast, The LINEST Function, Multilinear Regression, Polynomial Fit Functions, Residuals Plot
Iterative Solutions Using Excel: Using Goal Seek in Excel, Using The Solver To Find Roots, Finding Multiple Roots, Optimization Using The Solver, Minimization
Matrix Operations Using Excel: Adding, Multiplying by a Scalar, Multiplying Two Matrices, Transposing, Inverting and Solving System of Linear Equations.
VBA User-Defined Functions (UDF): The IF Structure, Select Case, For Next, Do Loop, Declaring Variables and Data Types, The Excel Object Model, For Each Next
VBA Subroutines or Macros: Recording a Macro, Coding a Macro Finding Roots by Bisection, Using Arrays, Adding a Control and Creating User Forms.
Numerical Integration Using Excel: The Rectangle Rule, The Trapezoid Rule, The Simpson's Rule, Creating a User-Defined Function Using the Simpson's Rule.
Differential Equations: Euler's Method, Modified Euler's Method, The Runge Kutta Method, Solving a Second Order Differential Equation.
Why take this course?
Master Microsoft Excel for Scientists & Engineers: Efficient Data Analysis, Charting, Regression, VBA, and More
This course in Microsoft Excel 2016 is designed specifically for professionals in science and engineering, aimed at optimizing your data analysis skills and improving efficiency. With exercises tailored to essential Excel features, you'll gain the knowledge you need to excel in your field.
Key topics include:
Charting: Create XY scatter graphs, dual Y-Axis charts, error bars, and combination charts.
Functions: Compute Sum, Average, Count, Max, Min, Weighted Average, Trigonometric Functions, Exponential Functions, and Unit Conversion.
Conditional Functions: Logical Expressions, Boolean Functions, IF Function, Quadratic Equation Solver, VLOOKUP, AND, OR, XOR.
Regression Analysis: Trendline, Slope, Intercept, Interpolation, Forecast, LINEST, Multilinear Regression, Polynomial Fit, Residuals Plot, Analysis ToolPack.
Iterative Solutions: Goal Seek, Solver for Roots, Multiple Roots, Optimization, Minimization Analysis, NonLinear Regression.
Matrix Operations: Matrix Addition, Multiplication, Transpose, Inversion, and Solving Linear Equations.
VBA User-Defined Functions (UDF): Visual Basic Editor (VBE), IF Structure, Select Case, For Next, Do Loop, Variables, Data Types, Array Functions, Excel Object Model.
VBA Subroutines/Macros: Macro Recording, Coding, Finding Roots by Bisection, Arrays, Controls, User Forms.
Numerical Integration: Rectangle Rule, Trapezoid Rule, Simpson's Rule, UDF using Simpson's Rule.
Differential Equations: Euler's Method, Modified Euler's Method, Runge Kutta Method, Solving Second Order Differential Equations.
By the end of this course, you will have enhanced your data analysis capabilities and harnessed the power of Excel for scientific and engineering applications.
Enroll now for a rewarding learning experience and master Microsoft Excel for scientists and engineers!
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