Marketing analytics with Python: Data Exploration

Marketing analytics with Python: Data Exploration

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In this video, we will delve into the fundamentals of marketing analytics using Python. Beginning with importing necessary libraries and exploring dataframe basics, we will proceed to cleaning and preprocessing datasets with NumPy and Pandas. Useful statistical techniques, advanced indexing and filtering, and data visualization with matplotlib and Seaborn will be covered. Moreover, dive into data aggregation techniques like pivot tables using Pandas. Applications of marketing analytics in businesses and future study resources will be discussed.

Additional Resources:
Pandas Documentation: Essential library for data manipulation and analysis in Python.
scikit-learn: Machine Learning library with popular algorithms for predictive modeling.
NumPy: Numerical analysis library focusing on linear algebra, mathematics, and data structures.

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