Thank you for sending your enquiry! One of our team member will contact you shortly.
Thank you for sending your booking! One of our team member will contact you shortly.
Course Outline
Day One
Basics of working in Mathematica
- notepad and its structure
- cells
- data
- documents
Creating text documents
- templates
- text cells
- saving documents
Mathematical expressions and operations
- numerical and symbolic computation
- variables and operators
- functions
- tables and matrices
- strings
- lists
- tables
- vectors
Basics of building charts and graphs
- creating and editing charts
- creating and editing graphs
Wolfram Alpha
Day Two
Issues in data presentation
Graphic design basics
- Plot/Plot3D
- GraphicsGrid
- ParametricPlot/ParametricPlot3D
- LogPlot
- ContourPlot
- DensityPlot
- ListPlot/ListPlot3D
- ListPointPlot3D
- Histogram/Histogram3D
- BarChart
- PieChart/PieChart3D
- PolyhedronData
- RegionPlot/RegionPlot3D
Graphis design guide
- directives
- default values modifications
Predefined graphic objects
1. 2D Objects
- arrow
- Bezier curve
- circle
- filled curve
- polyline
- polygon
- text
2. 3D Objects
- cone
- cuboid
- cylinder
- sphere
Creating a slide show
Animation
- Animate function
- Manipulate function
Graphics importing and exporting
Graphics editing
Requirements
Basic knowledge of mathematical analysis and high school level mathematical competence.
Testimonials
openness, good atmosphere, cooperation with the teacher
PAA
Related Courses
Programming with Big Data in R
21 hours
Neural Network in R
14 hours
Introduction to R
21 hours
Marketing Analytics using R
21 hours
Advanced R Programming
7 hours
Forecasting with R
14 hours
R for Data Analysis and Research
7 hours
Data Mining with R
14 hours
Machine Learning Fundamentals with R
14 hours
Talent Acquisition Analytics
14 hours
Statistical Analysis using SPSS
21 hours