Coursera_IBM_DataScienceProfessionalCertificate-Exercises

This repository provides essential hands-on exercises and projects from the IBM Data Science Professional Certificate, serving as a valuable resource for aspiring data scientists.

Skills Covered

• Data Manipulation & Analysis: Master data wrangling with Python libraries (Pandas, NumPy) and SQL.
• Data Visualization: Craft impactful insights with visualization tools like Matplotlib and Seaborn.
• Machine Learning: Explore algorithms like linear regression, decision trees, and clustering to make predictions and uncover hidden patterns.

Tools & Technologies

• Python & SQL: Get hands-on with these essential data science languages.
• Jupyter Notebooks: Utilize this interactive environment for analysis and visualization.

Some of the Projects

1. Analyze diverse city data and predict stock market revenue.
2. Build a dashboard to track flight reliability.
3. Apply machine learning to predict rocket reusability.

Explore this repository to enhance your data science skills and build your portfolio!

Additional Notes

• This repository complements the IBM Data Science Professional Certificate but does not substitute for the full course.

For more information:

• IBM Data Science Professional Certificate: https://www.coursera.org/professional-certificates/ibm-data-science