Pull data from websites, APIs, databases, sensors, or social media. Reliable data sources fuel every successful project.
Remove duplicates, handle missing values, and fix errors. This step can take up to 80% of a data scientist’s time.
Use statistical techniques to find patterns, trends, and correlations. Turn numbers into meaningful stories.
Use algorithms like Linear Regression, Decision Trees, or Neural Networks to predict future outcomes.
Use dashboards, charts, or storytelling to share findings with stakeholders. Help teams make data-driven decisions.
Mastering these steps empowers you to solve real-world problems with data. Start your data science journey today.