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Summary
Unclaimed ProfileThis is a hands-on, cohort-based Python course focused on building a real, end-to-end data application over three live sessions. Students bring their own workplace data (or use provided datasets from energy, finance, or medicine) and progress through joining, filtering, aggregating, and visualizing data, ultimately publishing a shareable web app. It includes live guided sessions with Jesús López, lifetime access to recordings, a peer community, and a completion certificate, backed by Maven's standard satisfaction guarantee.
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Program Overview
Learning format
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Price
Price may change · updated within 1–2 weeks
Course language
Learning format
Subcategory
Price
Price may change · updated within 1–2 weeks
Course language
Best For
- People wanting a deployable end project
- Beginners wanting guided, hands-on learning
- Those with workplace data to analyze
- Professionals wanting practical Python skills
Not For
- People unable to attend live sessions
- Advanced Python developers needing expert content
- Those wanting long, self-paced courses
- Complete beginners uncomfortable with intensity
What You'll Learn
- Publishing a working data application to a shareable URL
- Building data visualizations from processed datasets
- Aggregating data to extract meaningful insights
- Filtering and joining data tables effectively
- Downloading and preprocessing real or custom datasets
- Programming in Python with a problem-solving approach
About the creator
Jesús López
View full profileProgramming Education · Spain
Practical Python: Data Tables Manipulation & Visualization
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Jesús López is a self-taught Python and data programming instructor based in Spain, and founder of Datons. With over 8,000 hours of 1:1 training and consulting, he's taught at institutions like UPM Madrid, worked with companies including Iberdrola and BBVA, developed cancer-prediction models with Oxford researchers, and created an Algorithmic Trading course for LinkedIn Learning.
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