Curso de Data Science full time. Programación, machine learning y Inteligencia Artificial.

allWomen

  • Curso
  • Presencial
  • 400 horas

Descripción

With the Data Science bootcamp you will learn programming, data analysis, machine learning and NLP from 0 to 100.

This course is for women who want to have a greater impact on the career they wish to undertake. They will provide you with the basic skills you need to master in order to work as a data scientist and AI project. And you will put these concepts into practice by conducting an analysis that is 100% driven by your own interest. With this, we allow you to build a portfolio that best matches your ambitions & needs.
This course trains you to apply in any of the following job titles:
  • Data Analyst
  • Data Scientist 
  • Business Artificial Intelligence Analyst 

Temario

Remote. 2 weeks part-time. 
We want you all to be on the same page from the first day of the program. To do this, we will give you a dataset to work on during these weeks from which you will learn the basics of Python applied to your first Data Analytics project.
On Campus. 10 weeks full-time.
  • Week 1 – Programming with Python + Understanding the data science process. What, why, and how. Use cases, tools, motivation and data analysis.
  • Weeks 2 – Understanding Machine Learning: Regression Algorithms. What, why, and how. Machine Learning Principles Part 1.
  • Week 3 – Understanding Machine Learning: Classification Algorithms. What, why, and how. Machine Learning Principles Part 2.
  • Week 4 – Unsupervised Machine Learning. What, why, and how. Machine Learning Principles Part 3.
  • Week 5 – NLP & Sentiment Analysis: Dealing with real data and its particularities. What, why, and how. Build your dataset from scrapping Tweets.
  • Weeks 6 – Define your Final Project. Create your own AI project from scratch under the guidance of the mentor and our community of Inspiring Women.
  • Weeks 7 & 10 – Full immersion in developing your AI project. Use the knowledge you gained to complete your project. You will be working under the guidance of the mentor and our community of Inspiring Women.
  • Week 11 – Demo Day. Career Assessment. Hiring Day. Wrap-up your analysis and work to deliver a professional presentation.

Destinatarios

  • Career changer: For women without a STEM background who are driven and passionate about the tech industry and want to take a step into the artificial intelligence sector.
  • Career Booster: Women who are established in their professional career and want to jump to the next level by adding AI understanding and AI design to their resume.
  • Entrepreneur: Women who run their own venture or have an entrepreneurial mindset and want to develop an AI-based product or service.
  • Recent STEM graduate: Women who have studied STEM disciplines and want to take a deep dive into the world of artificial intelligence.

You don't need a tech background.

Requisitos

Prior to the start of the course, you will be given a pre work to start getting acquaintance with the basic phyton skills, stadistics and its environment. And it will give the basic level for you to start and follow from the first day of the program.
Once the program starts we'll dedicate the first week to learn Python together.

Prueba de acceso

There's a prework every student needs to do to asset the level of each group. We will also do a personal interview. CV + motivational letter needed.

Metodología

20% guided lectures, 80% practical. The instructors are always there for you, even during the prework. Its all presencial but they'll give you theory and extra content for you to amplify your studies.

Idiomas en los que se imparte

English

Duración

10 weeks full time , Monday to Friday from 9 to 18h.

Objetivos

  • Program in python and work with Git & GitHub repositories;
  • Understand the data science processes (data exploration, preprocessing, building a ML model, performance indicators and error metrics, model optimization);
  • Smart visualization to transform data into information;
  • Think critically about data and draw conclusions based on your analysis;
  • Grasp an understanding of the most commonly used tools in the Industry and learn how to use them to support your needs.

Titulación obtenida

Certified by allWomen and its recognized hiring partners.

Prácticas

allWomen have agreements with many tech companies to be our hiring partners. Some of them are: King, Chartboost, Holaluz, AIA, Glovo, Badi, Whisbi and many more..

Perspectivas laborales

Data Analyst, Data Scientist , Business Artificial Intelligence Analyst are some of the most demanded profession in the tech sector today.

Promociones

Discounts for female entrepreneurs also available. 
allWomen is certified by Fundae (Formacion Tripartita) so companies who invest in their team upskiling can benefit from its economical discounts. 

Precio

6950 €
We believe that finances should not be an obstacle to follow your dreams and study something that will change your career! That?s why we have partner with Banc Sabadell to whom we agreed great conditions for your split payments! Contact us for more info.

Ventajas del curso

We are strongly committed to bring female talent to the tech industry ready to bring positive impact on the field. Parallel to the technology content of our bootcamps, the courses are designed to develop female leaders, giving emphasis for developing interpersonal skills like teamwork, leadership and project management throughout the programs. This all happens with a hands-on approach, on a women & women-identified-only environment. We have created a safe space where to be the majority for once, be able to relate with each other, having other women as role models.

Bolsa de empleo

Yes, thats why they have our hiring partners . They also organise demo day and hiring day. And they have mentors for carrer assessment, who are HR managers of Well Known tech companies.

Profesorado

Female elite teachers, for us is very important that they have a wide professional experience so count on that!
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Curso de Data Science full time. Programación, machine learning y Inteligencia Artificial.
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