Diploma in Big Data and Machine Learning
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Summary
The diploma in Big Data and Machine Learning is presented as a unique opportunity in a sector in full boom, where the demand for trained professionals does not stop growing. Today, companies are looking for experts capable of transforming large amounts of data into valuable information for strategic decision making. Through this course, you will acquire essential skills such as the analysis of data sources, the application of clustering and classification techniques, and the management of neural networks and Deep Learning with Python. You will enter the Open Data world and learn to use tools like Weka for Data Mining. In addition, you will develop the ability to create recommendation and choice systems, dotting you with a highly competitive profile. When opting for this diploma, you position yourself in the technological avant -garde, opening doors to new job opportunities in a market that increasingly values knowledge in Big Data and Machine Learning.
Goals
Professional exits
To prepare you
This course prepares you to handle large volumes of data through Big Data, identify and use various data sources, and apply Machine Learning techniques. You will learn to use tools such as Weka for advanced data mining and techniques such as clustering and neuronal networks. You will also develop skills in recommendation and classification systems, and you will be able to implement Deep Learning models with python, keras and tensorflow, thus improving your learning strategies and data -based decisions.
Who is it addressed
The diploma in Big Data and Machine Learning is aimed at professionals and graduates of the technological and analytical sector who seek to update their knowledge in areas such as data sources, Machine Learning, neuronal networks and Deep Learning. Ideal for those who want to explore clustering techniques, recommendation systems and use tools such as Python, keras and tensorflow without the need for advanced experience.
Our methodology combines technology, pedagogy and empathy for a tailored learning.
You mark the rhythm, you decide the way and an artificial intelligence accompanies you to learn better, with meaning and purpose.
Realized personalized learning
Your style, interest and level define the route. You are the starting point.
Constructivism in action
Explore, experience and apply. Learning means understanding, not memorizing.
He who accompanies you, not who directs you
Phia, our artificial intelligence assistant guides you without limiting your autonomy.
Evaluation without pressure
Continuous and adaptive feedback. Because learning is a process, not a figure.
Certificación
Diploma Diploma Diploma in Big Data and Machine Learning with curricular value issued by the Da Vinci University.
EDUCAHUB Scholarships
Make your most accessible training: Finish 0% interest and get personalized scholarships.
In Eduahub we believe that education must be available to everyone. Therefore, we offer a scholarship plan that facilitates your access to practical, current and quality training, eliminating economic barriers.
-25%
Alumni Scholarship: For former students of Eduahub.
-20%
Unemployment scholarship: if you prove to be unemployed.
-20%
Numerous family scholarship: for families with 3 or more children.
-20%
Disability scholarship: For people with disabilities ≥33%.
-15%
Emprende Scholarship: For self -employed that accredit your activity.
-15%
Scholarship recommends: If you come recommended by an alumnus.
-15%
Group scholarship: For joint inscriptions of 3 or more people.
An entire educational universe, on a single platform.
An intuitive environment that guides you to form autonomously and with purpose.
Learn at your pace
Courses, masters and official degrees. 100% online, flexible and at your pace.
Access from anywhere
Available 24/7 on mobile, tablet or PC. You decide when and how to train.
Phia, your mentor ia
It challenges you, motivates you and customizes your path. Learn with a guide that evolves with you.
LX One Plus: Without limit formation
Unlock soft skills, languages and more. Advances towards integral and continuous formation.
