Machine Thinking for Applied Data Projects

4.9

(4 ratings)

·

2 Weeks

·

Cohort-based Course

Data programming is a never-ending field; one too many new programs to learn. Is there one methodology to learn them all using Python?

Professionals from

Vodafone
Latesys
University of Oxford
Santander
Iberdrola

Course overview

Learn one methodology to learn and apply any new programs.

If your learning progress is solely reliant on a predetermined syllabus, you risk becoming dependent on others for acquiring new skills and knowledge.


The primary objective of this course is not just to teach you how to use specific programs but to instil in you the critical thinking and problem-solving skills that underpin their effective application in real-world projects.


By the end of this course, you will have dominated not only the tools at your disposal but also the strategic mindset necessary to leverage these technologies effectively in your ongoing professional development, setting you on a path of continuous, self-directed learning.


But don't just take our word for it. Listen to the testimonials of our students, who highlight the transformative impact of our teaching methodology on their learning journey.

Who is this course for

01

Human errors with Excel


You have experience with data and programming tools, but you waste too much time on solving errors on your own.

02

Adapt existing solutions



You get frustrated because the code you copy-paste from ChatGPT/Google doesn't solve your problems.

03

Automate your time


You want to know the best tricks and practices to program your data analysis and visualizations.

Key outcomes

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.

Data projects to practice the methodology

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

Leverage ChatGPT to think like a machine

If you don't fully understand the error or the answer you copy-paste from ChatGPT, you'll constantly fail to adapt it to solve your problem.

Hybrid learning

Before each session, you can practice with step-by-step recorded tutorials to prepare doubts that will be solved during live sessions.

Continuous cohort

By purchasing access to one cohort, you can attend any future editions.

This course includes

4 interactive live sessions

Lifetime access to course materials

25 in-depth lessons

Direct access to instructor

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
  • Bonus

    Modules

    • Python Basics

    • Exercises to Practice on Your Own

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4.9

(4 ratings)

See what people are saying

        Perfect! Luxury as a teacher. Jesús solved all my doubts and taught me things I would have taken years to learn.
Agustín Querejeta Coma

Agustín Querejeta Coma

Senior Clinical Fellow in Movement Disorders (Neurology) at Oxford University
        Jesus is a great instructor, I attended one of his workshops in Python without any experience whatsoever and the class was amazing! Whether you are a beginner or have prior experience, Jesus will make sure you leave with more knowledge and confidence when working in Python.
Sonali Kumar

Sonali Kumar

HR Data Analyst at Nike | Co-founder for Data in Motion | Podcast Host Data In Motion
        Very well structured, very useful and well-prepared material. In two sessions, you acquire concepts quickly and become eager to learn even more about what is taught in the course and go deeper into it.
Carlos José Pérez-Ojeda

Carlos José Pérez-Ojeda

Aerospace Engineering at UPM
        Their learning method based on stimulating the student's curiosity is truly innovative. In addition, we have been able to develop multiple ML models to predict outcomes in urological cancer involving data from a large center, the Ramón y Cajal Hospital. Thank you, Jesus.
José Subiela

José Subiela

Urologist, PhD. Urooncology. Kidney transplant. Hospital Universitario Ramon y Cajal. IRYCIS. Universidad de Alcalá.

Meet your instructor

Jesús López

Jesús López

Instructor @LinkedIn Learning // Statistics, Data & Programming Consultant @datons

Jesus' curriculum showcases a diverse range of experiences and expertise.


His more than 8,000 training hours come from various industries, such as energy, finance, telecommunications, and healthcare. Specifically, some of his notable clients work in Santander, PEPSI, Vodafone, University of Oxford, Hospital Ramón y Cajal, Bankinter, BBVA, Banco de España, IGNIS, Cogen, Telefonica, Galp, and REE.


He has trained on data and programming skills more 800 clients 1:1. For whom he developed the analysis of their data projects (more than 200):


- Machine Learning models to predict Bladder Cancer and Alzheimer's Disease

- Simulation of investment strategies in the energy industry

- Trading Algorithms to invest in the Stock Market

- Causal statistics to analyze Psychological Factors

- Dashboards for Final Thesis Projects using Shiny, Dash, Streamlit, Tableau, and Power BI


Based on his vast and intense experience, he has created an educational program that solves most of the problems students face in learning programming for data.


His students consider their methodology one of the best and assure that you will always leave his sessions with practical skills acquired and ready to be applied to your problems.

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Frequently asked questions

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

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