Intermediate Level

Welcome to the intermediate level.

In previous chapters you learned fundamental programming skills essential for selecting, filtering, and visualizing data. You explored programming in Python and practiced developing and running code in Jupyter Notebooks while applying key programming principles to solve real-world business problems. The chapters covered topics such as solving problems using software programming, an introduction to Python and the Pandas library, and implementing Python functions. You practiced basic data manipulation and transformation using Python and Pandas, created data visualizations with Seaborn, and utilized control flow techniques like loops and conditional iterations. These lessons provided a strong foundation for addressing business challenges through data analysis.

In this intermediate stage of learning, you will explore a diverse array of data processing and analysis techniques using Python, Pandas and Generative AI. You will start by mastering the use of lists, dictionaries, and comprehensions, applying these concepts to efficiently handle and manipulate data. Building on this foundation, you will dive into advanced data filtering and transformation operations, learning how to extract meaningful subsets of data using complex conditions and Generative AI. You will also practice advanced grouping and aggregation techniques, enabling you to summarize and analyze data effectively across various dimensions. Finally you will gain hands-on experience with time series processing, uncovering trends, seasonality, and patterns in temporal data.

Happy codings!