Perceptual Edge
MARCH 9, 2020
It galls me when people oversell data visualization. Data visualization combines technologies (visual representations of quantitative data) with specific skills (techniques for creating and interacting with those visual representations) to make sense of and communicate quantitative data.
Analysts Corner
MARCH 2, 2023
In today’s data-driven world, analytics has become a vital skillset for professionals across various industries. From healthcare to finance, marketing to sports, the demand for individuals with a deep understanding of data analysis and interpretation has never been higher. This includes languages such as Python, R, and SQL.
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The BAWorld
MARCH 11, 2024
This article delves into the critical technical domain BAs should master, transcending mere programming proficiency to cultivate a comprehensive and versatile skillset. Data Visualization: Master presenting complex data in easy-to-understand formats like charts and graphs using tools like Tableau or Power BI.
Smart Data Collective
OCTOBER 14, 2019
For current and future software development companies that want to be knowledgeable about using data and analysis, a few big data skillsets will help give them leverage in the coming year. Let’s take a look at the skillsets developers need to have. Big Data Skillsets. Other coursework.
Juice Analytics
JULY 16, 2021
Cooking is one of my favorite go-to analogies for data storytelling and data visualization. Let us count the ways… Like cuisine, any data visualization is simply the re-mixing of various fundamental elements — points, layout, connectors, and colors. Data provides the raw ingredients for your data visualization.
Analysts Corner
APRIL 30, 2023
Being a person who gets pumped up with every new idea, I started making a list of skillsets required to become a data analyst. What I did was something undigestible to me as well — I completed online courses in Excel, SQL, Python, Data Visualization, Data Analysis process, etc.
Juice Analytics
MARCH 30, 2021
Data only becomes valuable when you start to get insights from it and apply those insights to actions. The answer is not simply a better dashboard or more carefully designed data visualizations. The foundation of getting value from data depends on creating a data fluent culture in your organization.
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