Data science is the process of extracting knowledge and insights from data. It involves using various analytical and computational methods to discover patterns and trends, access the significance of those patterns, and formulate conclusions. Data science has become an essential tool for businesses in today’s data-driven world. By understanding how to effectively analyze data, organizations can make more informed decisions, identify opportunities and threats, improve their products and services, and optimize their operations.
In this blog, you will see a step by step process to execute a Data processing flowchart. This will show how to start Data preprocessing, Data processing and Data postprocessing. Of course, this is not a complete project flowchart and just shows the processes you need to implement in a Jupyter or Google Colab Notebook.
To have a better look download the following file!
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