Introduction to Data Analysis.
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- Drive Improvement
- Reduce Costs
- Scientific Approach
Data Analysis is key to making business decisions about your process or product. To improve the process or product you have to measure it. Once you have the measurements, you need to quickly interpret the data.
This hour long class will show you how to present the data to management and others. Normally, management is not interested in the raw data. Business decisions are based on the summarized data or graphs of the data.
This course provides the basic tools for understanding, summarizing, creating graphs, and making future yield predictions with your collected data.
You will learn about
- the types of data
- basic statistics such as averages and variation
- creating and interpreting histograms
- normal distribution
- the relationship between process improvement and data
- process capability
- predicting yields
- pareto charts
In addition you will learn how to use Microsoft Excel to conduct the data analysis. A final spreadsheet is provided for your review.
Detailed Course Agenda
- Types of Data
- Basic Statistics
- Normal Distribution
- Standard Deviation
- Three Sigma
- Bell Shape Curve
- Other types of Distributions
- Interpreting Histograms
- Non Normal
- Comparing to specifications
- Microsoft Excel demonstration
- Creating Histograms
- Process Improvement
- Reducing Variation
- Process Capability
- CpK Calculation
- Predicting future yields with CpK
- Sampling and calculation guidelines
- MS Excel Demonstration
- Pareto Principle
- Creating a pareto charts
- Types of pareto charts
MS Excel Demonstration
What People Are Saying:
"Great Class...I was going to attend an all day conference that covered this material for $199. You saved me a trip, time away from the office and additional expenses. "
"I didn't know you could make histograms and pareto charts with Microsoft Excel. Thank you for easy to follow instructions. The spreadsheet is a big help too. "
"Understanding and applying the techniques from this course is simple. I now understand more on indentifying improvement oppurtunities. Although the subject is a little dry, the class is well worth the price of admission. "
|Number of Programs||4|
|Intro to Data Analysis pt1||15:14|
|Intro to Data Analysis pt2||16:46|
|Intro to Data Analysis pt3||16:01|
|Intro to Data Analysis pt4||11:24|