DF-EN Applied Data Programming in Python
4.8
(6 ratings)
3 Days
·Cohort-based Course
We'll install Python thinking in your brain to save time working with data tables to extract and analyze insights.
DF-EN Applied Data Programming in Python
4.8
(6 ratings)
3 Days
·Cohort-based Course
We'll install Python thinking in your brain to save time working with data tables to extract and analyze insights.
Professionals from
Course overview
1 framework to learn 100s concepts
If you don't learn the mental framework behind the concepts, you'll always be dependent on someone else to teach you any new concept.
In this course, you'll learn and practice Machine Thinking applied to practical exercises to become an optimal self-taught data programmer.
An instructor who cares for your professional training
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
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. Jesús will teach you how to work with AI to solve coding problems step by step.
Hybrid learning
In addition to training your skills during our live lessons, you'll have recordings and step-by-step video tutorials to learn at your own pace, even after the course is finished.
This course includes
3 interactive live sessions
Lifetime access to course materials
35 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.
DF-EN Applied Data Programming in Python
Course syllabus
Week 1
Apr 16—Apr 18
Week dates are set to instructor's time zoneEvents
- Apr
16
Session 1
Session 1
Tue, Apr 16, 2:00 PM - 5:00 PM UTC
- Apr
17
Session 2
Session 2
Wed, Apr 17, 2:00 PM - 5:00 PM UTC
- Apr
18
Session 3
Session 3
Thu, Apr 18, 2:00 PM - 5:00 PM UTC
Modules
- Python tricks for proficient learningPython tricks for proficient learning2 Lessons
- Data visualizationData visualization2 Lessons
- Python libraries for data science (overview)Python libraries for data science (overview)4 Lessons
- Data preprocessing for analysisData preprocessing for analysis6 Lessons
- Statistics and machine learningStatistics and machine learning5 Lessons
- APIs to download public dataAPIs to download public data4 Lessons
- Join multiple tablesJoin multiple tables2 Lessons
- Merging multiple tables for analysisMerging multiple tables for analysis3 Lessons
- Web scrapingWeb scraping3 Lessons
Bonus
Modules
Free preview
More API ExamplesMore API Examples4 Lessons
4.8
(6 ratings)
What students are saying
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DF-EN Applied Data Programming in Python
Meet your instructor
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.
Be the first to know about upcoming cohorts
DF-EN Applied Data Programming in Python
Frequently asked questions
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