Advanced Certificate in Applied Artificial Intelligence (AI) Programming Module 2: Data Manipulation and Preprocessing
About This Course
In this module, participants will unlock the power of data manipulation and preprocessing focusing on NumPy and Pandas, the cornerstone libraries for data analysis in Python. In this hands-on learning experience, participants will delve into the fundamental techniques and best practices for efficiently handling, transforming, and preparing their datasets for analysis.
Through a series of interactive lectures and practical exercises, participants will gain a deep understanding of both NumPy and Pandas, mastering essential concepts such as data structures, indexing, slicing, and aggregation. Participants will learn how to manipulate arrays and DataFrames with ease, performing tasks ranging from simple arithmetic operations to complex data transformations.
What You'll Learn
• Understand the use of NumPy arrays - creation, manipulation, and indexing
• Perform data exploration and manipulation with Pandas DataFrames
• Handle missing data and deal with data inconsistencies
• Perform data aggregation, grouping, and summarisation techniques
• Perform merging, joining, and concatenating datasets for comprehensive analysis
• Explore advanced data preprocessing techniques for machine learning applications
Entry Requirements
Basic programming experience using Python.