Data Science Fundamentals Specialization

This specialization demystifies data science and familiarizes learners with key data science skills, techniques, and concepts. The course begins with foundational concepts such as analytics taxonomy, the Cross-Industry Standard Process for Data Mining, and data diagnostics, and then moves on to compare data science with classical statistical techniques. The course also provides an overview of the most common techniques used in data science, including data analysis, statistical modeling, data engineering, manipulation of data at scale (big data), algorithms for data mining, data quality, remediation and consistency operations.
WHAT YOU WILL LEARN
- The knowledge and skills needed to work in the data science profession
- How data science is used to solve business problems
- The benefits of using the cross-industry standard process for data mining (CRISP-DM)
- The application of predictive modeling to professional and academic work

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