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It is the second course in the Data-Driven Decision Making (DDDM) specialization. It is helpful if learners have some familiarity with reading reports, gathering and using data, and interpreting visualizations. This course is ideal for individuals keen on developing a data-driven mindset that derives powerful insights useful for improving a company’s bottom line. Material features online lectures, videos, demos, project work, readings and discussions. A simple stand-alone data visualization tool, for example, will likely offer fewer and less robust features than a tool that is part of a fully integrated business intelligence solution that includes multiple other applications for data reporting, predictive analytics, data mining, and so on.
BI TOOLS FOR DATA VISUALIZATION SOFTWARE
The course also addresses do’s and don’ts of presenting data visually, visualization software (Tableau, Excel, Power BI), and creating a data story. Deeper examination is spent on statistical process control (SPC), which is a method for studying variation over time. It begins with common hurdles that obstruct adoption of a data-driven culture before introducing data analysis tools (R software, Minitab, MATLAB, and Python). We will help you to prepare background data a create reports that make you really shine. Power BI enables you to do all thatand it easily integrates with other tools like Microsoft Excel. Connect, model, and explore your data with stunning visual reports. Put your new-found evaluation skills to the test by learning about Microsoft Power BI.
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By the end of this course, learners are provided a high-level overview of data analysis and visualization tools, and are prepared to discuss best practices and develop an ensuing action plan that addresses key discoveries. Make data analysis and visualization simple through Power BI tool. Start by evaluating a robust data visualization tool.