Data Manipulation with Python and PANDAS
Ekta is a corporate professional and experienced academician with six years of industry experience, having worked with leading organizations including EY, McKinsey & Company, and Evalueserve. She has partnered with clients across the retail, supply chain, government, telecom, and healthcare sectors, delivering data-driven solutions to complex business challenges.
Over the past four years, she has been actively engaged in training undergraduates, postgraduates, and working professionals in statistics and data science. Her expertise spans a wide range of analytical tools and techniques, including R, SQL, Python, Tableau, Microsoft Excel, SAS, and advanced data science methodologies.
Agenda for Workshop 1: Data manipulation with Pandas
This session will introduce participants to essential data manipulation techniques using the Pandas library in Python. Key topics include:
- Calculating frequency distributions
- Dropping rows and columns
- Filtering data efficiently
- Grouping and aggregating data
- Creating pivot tables
- Handling duplicate and missing values
- Merging and combining datasets
- Additional best practices for effective data analysis