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Python Webinar II – Working with Data & Files

Duration: 3 Hours
Level: Beginner → Early Intermediate
Format: Live Human Online Webinar with Guided Labs (Visual Studio Code)

Webinar Schedule (3 Hours)

Session 1: Understanding Files and Data in Python

  • How Python reads and writes data

  • Text files vs structured data files

  • File paths and working directories

  • Common file-related errors and how to avoid them

Lab 1:

  • Create and open files using Python

  • Write data to a text file

  • Read file contents and display results

Session 2: Working with Structured Data

  • Understanding CSV-style data

  • Parsing and processing data line by line

  • Converting raw text into usable values

  • Basic data validation and cleanup

Lab 2:

  • Read structured data from a file

  • Process multiple records using loops

  • Extract and summarize key information

Session 3: Building a Data Processing Program

  • Combining files, logic, and functions

  • Handling missing or unexpected data

  • Organizing code for clarity and reuse

Lab 3:

  • Build a complete data processing script

  • Read input data, analyze results, and write output files

  • Run, test, and improve the program in Visual Studio Code

Webinar Description

Python Webinar II focuses on one of Python’s most practical strengths: working with real data. In this hands-on, instructor-led session, participants learn how to read from and write to files, process structured data, and build Python programs that transform raw information into useful output.

This webinar emphasizes practical workflows and realistic scenarios. Rather than isolated examples, labs are designed to mirror tasks commonly found in business, operations, reporting, and automation. All exercises are completed using Visual Studio Code, reinforcing professional development practices.

By the end of the session, attendees will have written multiple data-focused Python programs and gained confidence handling files and external data sources—skills that transfer directly to real-world projects.

Lab & Exercise Structure

Each lab is:

  • Instructor-guided with live explanation

  • Hands-on and incremental

  • Focused on realistic data scenarios

  • Executed entirely in Visual Studio Code

Lab code and examples are reusable and designed to serve as reference material after the webinar.

Who This Webinar Is For

  • Attendees of Python Webinar I

  • Learners comfortable with basic Python syntax

  • Professionals working with files, reports, or data

  • Anyone looking to automate data-related tasks

What You’ll Gain

  • Practical experience reading and writing files

  • Understanding of structured data processing

  • Confidence building data-driven Python programs

  • Reusable lab scripts and examples

Other Python Webinars

This webinar expands Python skills into real data handling.
Additional Python webinars explore:

  • Error handling and debugging techniques

  • Automating workflows and reports

  • Working with external systems and APIs

  • Building complete Python solutions

Python Webinar II moves Python from theory into everyday productivity—helping you work smarter with data and files.