Statistical/Data Analysis

Statistical and data analysis turns the millions of measurements coming off battery production lines into actionable conclusions about yield, capability, and reliability. As a hard skill it requires fluency in descriptive and inferential statistics, regression, and time-series analysis, plus practical use of Python, R, or JMP to crunch real datasets. Engineers apply these tools to qualify new test equipment with gauge R&R studies, build acceptance sampling plans for incoming cell shipments, and prove (or disprove) that a process change actually moved the mean.

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