DF-EN Web Apps for Data Analysis

4.8

(7 ratings)

·

2 Days

·

Cohort-based Course

Learn Python programming while applying it to data analysis and visualization. We will prepare customized datasets based on your interests.

Professionals from

Latesys
Santander
Iberdrola
Banco Bilbao Vizcaya Argentaria
endesa

Course overview

Bring your own data and practical cases

An exceptional structure that progressively challenges you to develop a better version of your data application.


You can even bring your own data tables because the materials are adapted to work with any.


You'll get direct support to focus on the essential matters of building data apps so that, after the course, you'll have a great MVP.


P.S.: Don't worry if you don't have data or a practical case, we'll give you several proposals.

Reason the code; don't assume you know what you don't.

01

Instead of wasting your time adapting solutions from Google/ChatGPT, we'll teach you how to ask and adapt their solutions step by step.

02

The instructor will monitor students' screen to catch most common errors and explain best practices to optimize your programming skills.

03

Instense learning program with real-world exercises that trains lifelong skills you'll apply to your professional projects after finishing.

Outcomes

End-to-end project

You will build the application during the course by downloading, preprocessing, filtering, and aggregating the raw data.


Jesús will solve all your questions and doubts until successful completion.

Bring your own data

​If you are a professional who wants to develop solutions with the data you manage at your workplace, you can bring your data to build the web application.


​Otherwise, we've covered you with datasets from energy, finance, medicine, or any industry; I'll get it sorted for you.

Published data app on URL

You'll publish the data application you develop to a URL that you can share (public or private) with friends, colleagues, and customers.

No to redundant theory; yes to practical concepts

Instead of imposing the lessons with theory, you'll practice the methodology with exercises meticulously prepared to solve the most common errors you experience.

Guided hands-on sessions to solve problems

Why spend your time figuring things out alone when you can benefit from practice sessions with Jesús?


He will ensure you stay on track and apply the best coding practices, enhancing your learning experience without overlooking the value of independent problem-solving.

This course includes

3 interactive live sessions

Lifetime access to course materials

27 in-depth lessons

Direct access to instructor

2 projects to apply learnings

Guided feedback & reflection

Private community of peers

Course certificate upon completion

Maven Satisfaction Guarantee

This course is backed by Maven’s guarantee. You can receive a full refund within 14 days after the course ends, provided you meet the completion criteria in our refund policy.

Course syllabus

Expand all modules
  • Week 1

    Jun 6—Jun 8

    Week dates are set to instructor's time zone

    Events

    • Jun

      6

      Session 1

      Thu, Jun 6, 8:00 PM - 11:00 PM UTC

    • Jun

      7

      Session 2

      Fri, Jun 7, 8:00 PM - 11:00 PM UTC

    • Jun

      8

      Session 3

      Sat, Jun 8, 3:00 PM - 6:00 PM UTC

    Modules

    • Python Thinking

    • Data visualization

    • Join

    • Filter

    • Web App

    • Aggregate

  • Post-Course

    Modules

    • Developing code on local computer

    • Next steps

  • Bonus

    Modules

    • Free preview

      Data API Examples

4.8

(7 ratings)

What students are saying

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Meet your instructor

Jesús López

Jesús López

Instructor @LinkedIn Learning | +8,000h 1:1 Training & Consulting Data w/ Python

Learn more about my professional background here.

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Frequently asked questions

What happens if I can’t make a live session?

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