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Get familiar with the tools, functioning and use of the Minitab statistical software package that you will need to analyze big data and make decisions about problems arising in business, production or engineering.
Get the skills of manipulating data in a worksheet when you are analyzing data.
Animated video lessons about the process of manipulating data to prepare yourself to start learning the statistical methods of data analysis.
The video lessons give step-by step instructions you to select the appropriate menu commands or to write session window commands for specific problems. Screen animations highlight the important details of a session or draw your attention to the "tricks" applied. You can turn on subtitles to help follow the instrucions and explanations. Sample data of Minitab are used for demonstration so you do not need to download any additional dataset.
It is a short course including 10 lectures, a little more than half an hour, yet comprehensive and well enough to get the skill of using Minitab's capabilities for datasheet manipulation and to enable you to start real world data analysis in the next courses of "Foundation of Statistics with Minitab" or "Statistical Methods for Quality Improvement".
Watching a video, pausing it and doing the same steps simultaneously in your own Minitab is the best way of getting experience and practice in data manipulation. Repeating the sessions with different sample data develops your skill to easily handle big data files and helps you reach the stage when you feel that data analysis is a fun when you can have a look behind the scenes.
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|Section 1: Managing Data in a Worksheet|
Summarizing Cases, Row Statistics
Summarizing Columns, Using Session Commands
Ranking and Sorting of Data
Creating Subsets of Worksheet
Combining Data using the Stack Option
Separating Data using the Unstack Option
|Section 2: Next courses to complete ...|
Foundation of Statistics with Minitab
Mastering Statistical Quality Control with Minitab
Engineer and mathematician teaching different subjects of Engineering and Mathematics for more than 20 years at a college in Hungary. Beside teaching he is intensively involved in industrial projects as a consultant or as a structural designer. His special fields are Quality Statistics, Statistical Process Control, Multivariate Statistical Analysis and Stochastic Processes. He was elected to the President of the Chamber of Engineers in Fejer county and holds several awards. He served as the rector of the College of Dunaujvaros for 8 years.