A practical course in the Python an analyst uses most: core Python, NumPy arrays, pandas DataFrames, cleaning messy data, grouping, merging and pivoting, and building clear charts. Every lesson uses short, runnable code on small example datasets you can recreate in a few lines, and each module ends with an exercise and a model answer.
Eighteen written lessons across six modules. Lesson 1 is a free preview. You will need Python 3 with pandas installed, or a free notebook environment such as Google Colab. No certification, license or credential is awarded.
About this courseThis is a self-paced educational course. Completing it does not award a professional certification, license, degree or academic credit, and it does not count toward any licensing or continuing-education requirement. Exam-prep courses are independent study material: we are not affiliated with or endorsed by the exam provider, no exam voucher is included, and a certification is only awarded by the provider after you pass its exam. It is not legal, tax, financial or other professional advice, and it makes no promise of income, results or employment.