Remove Business Analysis Remove Data Science Remove Visualization
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How Do Super Rookies Start Learning Data Analysis?

FineReport

At the same time, it also advocates visual exploratory analysis. The visualization component library of FineReport is very rich. It can be used as a portal for data reporting, or as a platform for business analysis. Pandas is a Python data science library that is constantly improving.

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LCNC in BI and Predictive Analytics

Smarten

This visual development approach uses a graphical user interface (GUI) to support programmers as they build applications. To understand how this benefits the development team and the business, it is important to understand how low code platform works.

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Top 6 Data Analytics Tools in 2019

FineReport

You will find that they are designed according to the data analysis process. First, data processing, data cleaning, and then data modeling, finally data visualization that uses presentation of charts to identify problems and influence decision-making. The Skills That Data Analysts Need to Master.

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Gartner Predicts Growth of Augmented Analytics!

Smarten

As one of its Strategic Assumptions, Gartner predicted that ‘By 2020, more than 40% of data science tasks will be automated, resulting in increased productivity and broader usage by citizen data scientists.’ Look for Self-Serve Data Preparation , Smart Data Visualization , and Assisted Predictive Modeling.

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Augmented Analytics for Every Business and Industry!

Smarten

Self-Serve Data Preparation is a critical component of augmented analytics. If these terms seem foreign to you, just know that they represent the future of business analysis. Let your users mash up, manage and monitor data, share data and customize alerts.

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PASS Financials: past, present and the Future:

Jen Stirrup

If the starting point of your analysis goes something like ‘How much money does C&C take from the community?’ In efficient data science, we need to take our biases off the table in order to get a true picture of the data we are looking at. I have visualized the data below so you can see it below.

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