How to Analyze Data with Data Science Workflow

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RAWGraphs
DataWrapper
Google Charts
Business Intelligence Tools
These all-in-one tools are widely used by data-driven businesses. They are used for collecting, processing, integrating, visualizing, and analyzing large volumes of raw data to aid business decision making. Some of the most common business intelligence tools are:

Tableau
PowerBI
Qlik
To learn more about these tools, we highly recommend our courses Introduction to Tableau and Introduction to Power BI .

In recent years, innovative approaches have been proposed to buy view like improve data communication. One of them is data storytelling, an approach that advocates the use of visuals, narratives, and data to turn data insights into actions. Listen to the DataFramed podcast episode with Brent Dykes, author of Effective Data Storytelling: How to Drive Change with Data, Narrative, and Visuals, to learn more about this approach.

Conclusion
We hope you enjoyed this article and are ready to start your own data analysis. A great way to get started is by taking our Data Science for Everyone course . Through hands-on exercises, participants will learn about the different roles of data scientists, key topics such as A/B testing, time series analysis, and machine learning, and how data scientists extract insights from real-world data.

As a continuation of the introductory course, we offer comprehensive programs for students to continue their learning journey. Students can choose their preferred language (Data Scientist with Python , R , or SQL ) in the degree programs, where essential data knowledge is taught through systematic and interactive exercises on real-world data sets.

Once you complete a degree program, you can move on to a data science certification program to validate your new technical skills and earn certification from experts.