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CertifiedPython is one of the most widely used programming languages for Data Science, and a strong understanding of Python fundamentals is essential before working with data. This course is designed to help beginners build that foundation step by step.
The course starts with Python programming fundamentals, including variables, data types, operators, conditional statements, loops, strings, lists, tuples, sets, dictionaries, comprehensions and functions. Learners will also be introduced to important Python concepts such as lambda functions, map(), filter(), reduce(), exception handling, file handling and basic object-oriented programming.
After building the Python foundation, the course moves into essential Python libraries used in Data Science. Learners will work with NumPy for numerical computing and arrays, Pandas for data manipulation and analysis, Matplotlib for creating visualizations, and Seaborn for statistical and data visualizations.
The teaching approach focuses on practical coding, examples and exercises so that learners can understand concepts and apply them independently. The course is suitable for students, beginners and professionals who want to learn Python specifically as a foundation for Data Science.
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