Microsoft Excel for Scientists and Engineers

Microsoft Excel for Scientists and Engineers

If you are in the field of science or engineering, you can Excel with this Microsoft Excel course!!

What you’ll 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, Using The CONVERT Function to Convert Units
  • Conditional Functions: Logical Expressions, Boolean Functions, IF Function, Creating a Quadratic Equation Solver, Table VLOOKUP Function
  • Regression Analysis: Trendline, Slope and Intercept, Interpolation and Forecast, The LINEST Function, Multilinear Regression, Polynomial Fit Functions, Residuals Plot, Slope and Tangent, Analysis ToolPack.
  • Iterative Solutions Using Excel: Using Goal Seek in Excel, Using The Solver To Find Roots, Finding Multiple Roots, Optimization Using The Solver, Minimization Analysis, NonLinear Regression Analysis
  • Matrix Operations Using Excel: Adding Two Matrices, Multiplying a Matrix by a Scalar, Multiplying Two Matrices, Transposing a Matrix, Inverting a Matrix and Solving System of Linear Equations.
  • VBA User-Defined Functions (UDF): The Visual Basic Editor (VBE), The IF Structure, The Select Case Structure, The For Next Structure, The Do Loop Structure, Declaring Variables and Data Types, An Array Function The Excel Object Model, For Each Next Structure.
  • 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.

Requirements

  • Basic understanding of the Excel Interface.
  • Statistics, Calculus, Differential Equations and Numerical Methods.

Who this course is for:

  • People in the fields of science and engineering

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