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Statistical Thinking for Industrial Problem Solving, presented by JMP
Statistical Thinking for Industrial Problem Solving is an applied statistics course for scientists and engineers offered by JMP, a division of SAS. By completing this course, students will understand the importance of statistical thinking, and will be able to use data and basic statistical methods to solve many real-world problems. Students completing this course will be able to:
• Explain the importance of statistical thinking in solving problems
• Describe the importance of data, and the steps needed to compile and prepare data for analysis
• Compare core methods for summarizing, exploring and analyzing data, and describe when to apply these methods
• Recognize the importance of statistically designed experiments in understanding cause and effect
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| Rating | Not enough ratings |
|---|---|
| Length | 10 weeks |
| Effort | 8-week course, 3-6 hours per week |
| Starts | Jul 3 (43 weeks ago) |
| Cost | $39 |
| From | SAS via Coursera |
| Instructors | Mia Stephens, Ledi Trutna |
| Download Videos | On all desktop and mobile devices |
| Language | English |
| Subjects | Data Science Mathematics |
| Tags | Data Science Data Analysis Probability And Statistics |
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Assistant Statistical Analyst 5 $75k
Biostatistician / Statistical Programmer $79k
Statistical Software Developer $120k
Master Statistical Analyst $125k
Quantitative and Statistical Analyst $143k
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| Rating | Not enough ratings |
|---|---|
| Length | 10 weeks |
| Effort | 8-week course, 3-6 hours per week |
| Starts | Jul 3 (43 weeks ago) |
| Cost | $39 |
| From | SAS via Coursera |
| Instructors | Mia Stephens, Ledi Trutna |
| Download Videos | On all desktop and mobile devices |
| Language | English |
| Subjects | Data Science Mathematics |
| Tags | Data Science Data Analysis Probability And Statistics |
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