As a Black woman who has spent years working as a data analyst in higher education, I have seen firsthand how women can excel in this field. While there are many reasons why women make great analysts, I believe that it all comes down to our unique experiences and skills. One of the key reasons why women excel as analysts is that we are bred to be multi-taskers. As women, we often have to juggle multiple responsibilities at the same time, whether it's managing our households, raising children, or advancing in our careers. This ability to handle multiple tasks and priorities simultaneously, and effectively, is an invaluable skill in the world of data analysis, where we are often required to manage large sets of data and draw insights from multiple sources. Another factor that makes women great analysts is our ability to solve complex problems. As a Black woman in higher education, I know firsthand how challenging it can be to navigate the complexities of raising a Black boy as a ...
There isn’t an organization today that doesn’t use the language, we are data-driven. Data underpins many aspects of our lives. As such, the integrity of data is vital. Yet, historical, and ongoing biases embedded in statistical data continue to skew perceptions and policies, disproportionately affecting African American communities. From discriminatory insurance practices to law enforcement and beyond, the ramifications of these biases are not only harmful but possibly aid in the continuation of generational struggles of vulnerable populations. There is a critical need for awareness and corrective measures. In May 1896, just 33 years after the Civil War, Frederick L. Hoffman, a statistician for the Prudential Life Insurance Company, published a 330-page treatise in the Publications of the American Economic Association. His work, a supposedly detailed actuarial study, claimed to prove with statistical accuracy that African Americans were uninsurable. In his study, Hoffman claimed that A...