Shaping the futures of women in technology ✊
allWomen Data Science graduate
Epistemologist & Data Scientist
For scientific and/or technical backgrounds with a solid understanding of mathematics, statistics, probability and programing.
in Python from a Data Scientist point of view.
of the scientific method applied to Machine learning.
data into answers (data exploration, preprocessing, data cleaning and feature engineering).
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Machine Learning.
Think
critically about data and draw conclusions based on your analysis.
data, data analysis, machine learning and the opportunities it offers.
a personal project using the tools and skills that you will be learning during the course;
your results, findings, and next-steps recommendations in front of an audience.
as an individual to accomplish your personal goals, and share your knowledge by working in a team.
Shaping the futures of women in technology.
Inés Cordón, Testimonial Data Science Immersive Course
Machine Learning is just the intelligence to find improvement data and automatic learning. In this course, the fundamentals of machine learning together with the key steps in transforming data into answers by means of predictive modeling will be addressed.
You will also learn how to create machine learning pipelines to continuously improve the efficiency of a machine learning project. On a final stage you will understand how Deep Learning and Neural Networks work, together with a guided hands-on on how and when to use them.
In just 5 weeks you will have a solid foundation and knowledge of how to manage data and get the most out of it effectively by means of machine learning modeling. Learning data analysis, machine learning tasks and pipelines. Create a human-centric Data solution as your personal project.
allWomen Data Science graduate
Digital MKT Specialist & Data Analyst
Demo Day & Hiring Day
Individual & Group
Career Assessment
Female Industry Network
Our goal is to help more women either take the leap into the technology sector or continue to develop a meaningful career in this industry.
Grasp
an understanding of the most commonly used tools in the Industry.