Data Science Foundations (Level 2)

The IBM Data Science Foundations (Level 2) program builds upon foundational data science knowledge and takes it to the next level. Here are the key components covered in this program:

1. Advanced Data Science Techniques:
   • Participants delve deeper into data science methodologies, tools, and techniques.
   • The program covers advanced statistical analysis, machine learning algorithms, and predictive modeling.
2. Programming Languages for Data Science:
   • Learners gain hands-on experience with programming languages commonly used in data science, such as Python and R.
   • They explore libraries like Pandas, NumPy, and scikit-learn for data manipulation and modeling.
3. Applied Projects and Case Studies:
   • The program emphasizes practical application through real-world projects and case studies.
   • Participants work on data-driven solutions, applying their skills to solve complex problems.

By completing this program, participants demonstrate their ability to tackle advanced data science tasks, making them valuable contributors to data-driven projects and organizations. 📊🔍

For more details, you can visit the IBM Training page¹.