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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 6 (earlier today)
Cost $39
From SAS via Coursera
Instructors Mia Stephens, Ledi Trutna
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Language English
Subjects Data Science Mathematics
Tags Data Science Data Analysis Probability And Statistics

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Staff Statistical Accountant $51k

Associate Statistical Scientist $60k

Member of the Strategic Thinking Advisory Committee $60k

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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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Coursera

&

SAS

Rating Not enough ratings
Length 10 weeks
Effort 8-week course, 3-6 hours per week
Starts Jul 6 (earlier today)
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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