Session

Jet-Setting with Data: Python for Quick Analysis

Fasten your seatbelts for a supersonic 50-minute ride through Python for data analysis with 'Jet-Setting with Data.' This session is your boarding pass to rapid data insights. From takeoff with Python basics to a smooth landing in basic data analysis, we've got your short-haul flight to data proficiency covered. No layovers—just direct flights to actionable skills.

A 50 minute session.
Target Audience - those attendees that are interested in understanding what Python is and how to use it.
The data set will be aviation themed.
This session hasn't been delivered previously, but in my previous life I've taught Python within the GCSE and A Level syllabus in the UK.

Session Plan
Part 1: Introduction (5 mins)
1. Quick pitch on Python and data analysis (2 mins)
2. Overview of the flight plan (3 mins)
Part 2: Python Basics (10 mins)
1. Syntax, variables, data types (3 mins)
2. Control structures: loops, if-else (3 mins)
3. Functions and libraries (4 mins)
Part 3: Pandas Library (15 mins)
1. DataFrames and Series (5 mins)
2. Data import/export (5 mins)
3. Basic operations: filter, sort (5 mins)
Part 4: Data Cleaning & Visualization (10 mins)
1. Handling missing data (3 mins)
2. Data transformation (2 mins)
3. Basic visualization with Matplotlib/Seaborn (5 mins)
Part 5: Wrap-up & Q&A (10 mins)
1. Quick analysis demo (5 mins)
2. Q&A and next steps (5 mins)

Sue Bayes

Director, Databayes Ltd

Plymouth, United Kingdom

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