Data Science
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Basic programming knowledge, preferably in Python.
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Familiarity with basic statistics and mathematics is helpful but not mandatory.
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A computer capable of running Python and data analysis libraries.
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No prior experience in data science is required; the course is designed for beginners.
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Aspiring data scientists, analysts, and business intelligence professionals.
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IT professionals seeking to transition into data-focused roles.
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Students and researchers interested in analyzing and interpreting data.
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Entrepreneurs and business managers looking to make data-driven decisions.
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Anyone interested in learning data science from scratch and applying it practically.
- Description
- Curriculum
- Reviews
Data Science is the art and science of extracting insights from structured and unstructured data to make informed business decisions. This course introduces learners to the complete data science workflow, including data collection, cleaning, analysis, visualization, and predictive modeling. Students will work with real-world datasets, explore Python-based tools and libraries like pandas, NumPy, Matplotlib, and scikit-learn, and gain practical experience in building data-driven solutions. By the end of this course, learners will have the skills to analyze data effectively and make evidence-based decisions.