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DataScience is an interdisciplinary field that focuses on extracting knowledge and insights from structured and unstructured data. It combines statistics, mathematics, computerscience, and domain expertise to solve complex problems. In contrast, DataScience demands a stronger technical foundation.
A good course to upskill in this area is — Machine Learning Specialization DataVisualization The ability to effectively communicate insights through datavisualization is important. Check out this course to upskill on Apache Spark — [link] Cloud Computing technologies such as AWS, GCP, Azure will also be a plus.
Proficient in programming languages like Python or R, data manipulation libraries like Pandas, and machine learning frameworks like TensorFlow and Scikit-learn, data scientists uncover patterns and trends through statistical analysis and datavisualization. DataVisualization: Matplotlib, Seaborn, Tableau, etc.
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