SigmaPlot Masterclass

Admin

2 years ago

Become an expert in Data Visualization and Data Analysis

Without proper Data Visualization and Data Analysis, you can not be the best in school or at work!

What you’ll learn

Learn to use SigmaPlot Software professionally.
Be able to generate best visualization from any kind of data.
Be able to analyze all kind of data and interpret them.
Become confident in your presentation skills by becoming an expert in data visualization and data analysis.
Have control over all kind of data.

Course Content

Introduction to SigmaPlot –> 3 lectures • 18min.
2D Plot 1 –> 4 lectures • 38min.
Customizing graphs –> 6 lectures • 44min.
2D Plot II –> 4 lectures • 46min.
3D plot –> 4 lectures • 27min.
Data Analysis I –> 6 lectures • 33min.
Data Analysis II –> 3 lectures • 25min.

Requirements

Without proper Data Visualization and Data Analysis, you can not be the best in school or at work!

Become an expert SigmaPlot software user and learn data visualization and data analysis!

This is the most comprehensive and easy to understand course you will find on Udemy on Data analysis and visualization. SigmaPlot is one the best software you will find in this space.

SigmaPlot provides more than 100 different 2-D and 3-D graph types. From simple 2-D scatter plots to compelling contour plots, SigmaPlot gives you the exact technical graph type you need for your demanding research. With so many options, you can always find the best visual representation of your data.

SigmaPlot now offers almost 50 of the most frequently used statistical tests in scientific research by integrating SigmaStat into one application. Suggestion of the most appropriate statistical tests is offered. Raw and indexed data formats are accepted to avoid data reformatting. Violation of data assumptions is checked in the background. Reports with descriptive interpretations are generated and graphs specific to each test may be created.

This course has 30 lectures and about four hours of video and leaves no stone unturned in data visualization and analysis. You will have practical examples with all supporting documents.

We will cover topics such as;