On 18th, 19th and 20th March 2024 at 10:00 am to 1:00pm, an academic intervention and training workshop was held for BU Nextgen Students, led by Ms. Eesha Gupta. This workshop, centred on Pandas & NumPy, vital Python libraries for data manipulation and analysis, aimed to provide students with practical expertise in handling and analysing data, crucial for their academic and professional advancement.

Objectives:

• Introduce students to Pandas & NumPy libraries in Python.
• Provide hands-on training for data manipulation and analysis.
• Enhance students' proficiency in Python programming for data-related tasks.
• Foster a deeper understanding of data structures and operations.

Workshop Overview:

The workshop spanned three days, each session lasting for three hours. Ms. Eesha Gupta, an experienced practitioner in data science, led the sessions, combining theoretical insights with practical exercises to ensure comprehensive learning.

Day 1: Introduction to NumPy

The first day of the workshop focused on NumPy, a fundamental library for numerical computing in Python. Ms. Gupta covered the following topics:

• Introduction to NumPy arrays and their advantages.
• Array creation and manipulation techniques.
• Array indexing and slicing.
• Mathematical operations and functions with NumPy arrays.

Throughout the session, participants practised creating arrays, performing arithmetic operations, and applying mathematical functions using NumPy.

Day 2: Introduction to Pandas

The second day focused on introducing Pandas, a powerful library for data manipulation and analysis. Ms. Gupta covered the following topics:

• Overview of Pandas and its features.
• Data structures: Series and DataFrame.
• Reading and writing data from/to different file formats.
• Basic data manipulation techniques: selection, filtering, and aggregation.

Participants engaged in hands-on exercises, where they practised loading datasets, performing basic operations, and exploring data using Pandas.

Day 3: Advanced Pandas Techniques

The final day of the workshop shifted the focus to Building upon the foundation laid on the second session, advanced techniques and functionalities of Pandas:

• Handling missing data and data cleaning techniques.
• Grouping and aggregation operations.
• Merging and joining datasets.
• Time series data analysis with Pandas.

Students had the opportunity to apply these advanced techniques to real-world datasets, reinforcing their understanding through practical implementation.

The workshop achieved its objectives by:

• Equipping students with practical skills in data manipulation and analysis using Pandas & NumPy.
• Enhancing participants' proficiency in Python programming for data-related tasks.
• Fostering a deeper understanding of data structures and operations.
• Providing a platform for hands-on learning and practical application.

The academic intervention and training workshop conducted by Ms. Eesha Gupta proved to be highly beneficial for the students of BU NextGen 1st Year. By focusing on Pandas & NumPy, essential libraries in Python for data manipulation and analysis, the workshop empowered participants with valuable skills essential for academic success and future career endeavours. BU NextGen looks forward to organising similar workshops to further enrich students' learning experiences.

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