Outcomes |
- Acquire a thorough understanding of data science fundamentals, including data cleaning, exploratory data analysis, statistical modeling, and machine learning.
- Develop proficiency in using data science tools and programming languages such as Python, R, SQL, and data visualization libraries like Matplotlib and Seaborn.
- Gain hands-on experience in building predictive models, performing data manipulation, and deriving actionable insights from complex datasets.
- Complete real-world projects and a capstone assignment, showcasing your ability to apply data science techniques to solve practical problems and make data-driven decisions.
- Obtain a Certificate of Completion, demonstrating your expertise in data science and enhancing your career prospects in a rapidly growing field.
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