Building a Strong Foundation in Data Science with IBM

The Tools for Data Science course by IBM on Coursera provided me with valuable hands-on experience using key tools like Jupyter Notebooks, SQL, and popular Python libraries such as Pandas, NumPy, and Matplotlib. Learning how to navigate these essential platforms has significantly improved my ability to analyze, manipulate, and visualize data effectively. This course not only strengthened my technical skills but also gave me a deeper understanding of how these tools are used in real-world data science applications. It has been an important step in broadening my expertise and preparing me for more advanced data-driven projects.