NumPy & Pandas: Analyze & Manage Retail Data

By the end of this course, learners will be able to manipulate NumPy arrays, implement gradient descent, clean and transform retail datasets using Pandas, create pivot tables and groupby aggregations, manage string and datetime data, and export results for business reporting. This hands-on case study–driven program begins with NumPy foundations to establish strong numerical computing skills, then transitions into Pandas for retail data management and analysis. Learners will benefit by building both technical depth (NumPy optimization, array operations, linear algebra) and business-ready skill…