Data science helps you explore analytics and marketing by turning raw data from various sources—like surveys, reports, and online platforms—into useful information. This process includes collecting data, analyzing it, understanding what it means, and using it to make smart decisions.

The steps in the data science process are crucial for getting good insights, and data science course focuses on practical experience in each of these steps.

Identifying Problems: The first step is figuring out what issues need solving. Data scientists work with experts to understand the goals and define clear problems, which helps them choose the right data to look at.

Understanding Business: Knowing how businesses operate, who their customers are, and what the market looks like is really important. Talking to customers and stakeholders helps identify challenges and ask the right questions to reach business goals.

Collecting Data: Sometimes, collecting data comes before identifying problems. This step includes gathering information from different sources like surveys and reports.

Processing and Analyzing Data: Once data is collected, it needs to be organized and analyzed. This prepares it for the next steps.

Modeling and Deploying: Finally, you create a model from the processed data and deploy it, which means making it available for real-time use. This allows predictions and insights to be shared with others.

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