Reading CSV and Excel Files: PK Study Datasets and ADR Reports
Learn to import pharmacokinetic study data and adverse drug reaction reports into Pandas from CSV and Excel files.
-
-
Pandas Series and DataFrame Structures
Understand Pandas Series and DataFrame structures, the building blocks for organizing and analyzing pharmacy datasets.
-
Introduction to the Pandas Library
Introduction to the Pandas library — the essential Python tool for handling structured pharmaceutical and healthcare data.
-
Inspecting Datasets Using head(), tail(), info(), and describe()
Master the essential Pandas methods for a first look at any new pharmaceutical dataset: head, tail, info, and describe.
-
Grouping and Aggregating Pharmaceutical Data with groupby()
Learn the split-apply-combine approach in Pandas using groupby() to summarize pharmacovigilance and pharmacokinetic data.
-
Filtering and Selecting Data with loc and iloc in Pandas
Learn how to select columns, filter rows with Boolean conditions, and use loc and iloc to extract pharmacy data subsets.
-
Data Cleaning: Handling Missing Values and Duplicates in Pandas
Learn how to detect, clean, and impute missing pharmaceutical data, and remove duplicate records using Pandas.
