James Miller CV

Emerging Data Analyst and Lifelong Learner | Skilled in Statistical Analysis, Data Visualisation, and Instructional Delivery | Excel, Google Sheets, SQL, Python, Power BI

89 – Brief Break

The time has come for me to make the decision of taking a brief break from writing blogs. As much as I enjoy writing about topics that I love, I’ve made the decision to take a break so that I can remain focused on the balance of life that I currently have: 2x jobs, a marriage, a newborn (well, now 5 months old), and my own mental health. In an ironic twist, I thoroughly enjoy creating these posts, but I am unable to provide all 4 of my priorities, plus this creative work, the attention that they deserve.

Look forward to the dedicated time that I’ll spend on the other facets of my life, but also the brain break that I’ll have from this outlet. I actually have many ideas that I am looking forward to writing about (just shy of a year’s worth), but this is what I have to look forward to when I return. I will see you in my next post and hope that you Excel in whatever it is you’re doing.

jamesmillermusic

March 17, 2025

Mathematics, Thoughts

Array formula, coefficient adjustments, coefficient analysis, coefficient interpretation, coefficient trends, coefficient trends analysis, Cubic coefficient, cubic fit, curve fitting, curve fitting examples, Data modeling, data regression, dataset, dependent variable, educational data, educational data insights, educational forecasting, educational outcomes, educational statistics, educational statistics modeling, Explanatory variables, exponential coefficients, exponential decay, exponential growth, exponential model, final exam score, final score prediction, Forecast accuracy, Forecasting accuracy, forecasting models, forecasting trends, fourth degree, Google Sheets, Google Sheets formulas, independent variable, intercept, intercept calculation, Linear coefficient, LINEST, LINEST formula, LN function, logarithmic regression, logarithmic trends, LOGEST, LOGEST formula, mathematical modeling, modeling accuracy, natural log, natural logarithm, natural logarithmic coefficient, natural logarithmic formula, outcome prediction, parameter estimation, parameter interpretation, polynomial coefficients, polynomial fit, polynomial modeling, polynomial regression, polynomial regression insights, polynomial trends, pre-test analysis, pre-test score, prediction accuracy, predictive equations, Predictive modeling, Quadratic coefficient, quadratic fit, quartic coefficient, quartic fit, quintic coefficient, quintic fit, regression analysis, regression applications, Regression curve, regression equation, regression examples, regression forecasting, regression function, regression intercepts, regression method, regression methods, Regression output, regression predictions, regression results, regression trends, sextic coefficient, sextic fit, sixth degree, statistical coefficients, statistical forecasting, statistical formulas, Statistical Modeling, statistical trends

89 – Brief Break

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