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In 鈥淣umPy and Pandas Basics for Future Data Scientists,鈥� learn programming techniques using Python's NumPy and pandas libraries to write efficient and bug-free code for numerical computing. At the start of the course, you鈥檒l be introduced to the NumPy library and will learn to perform basic NumPy array operations. After understanding the basics of the NumPy library, you鈥檒l explore more advanced array manipulations, including aggregating functions, broadcasting, reshaping, sorting, and joining arrays. By the end of this course, you will have the skills to apply multiple data manipulation techniques using advanced methods and apply functions to your code. This is the second course in the four-course series, 鈥淒ata-Oriented Python Programming and Debugging,鈥� where you鈥檒l work to strengthen your programming capabilities and enhance your problem-solving skills.