Course on Practical Applications of Machine Learning, Deep Learning and Data Science

Online Training

Course on Practical Applications of Machine Learning, Deep Learning and Data Science

Name: Course on Practical Applications of Machine Learning, Deep Learning and Data Science en Argentina
Brand: STRUCTURALIA
SKU: 379527-2501
Availability: InStock

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200 hours

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Spanish

In an era where Machine Learning, Deep Learning and Data Science are pillars of innovation, our course provides a strategic immersion in these disciplines. By exploring algorithms in Python and using specialized tools, the student will be trained in the effective implementation of machine and deep learning solutions, both supervised and unsupervised. Critical analysis and data modeling will be encouraged, enabling the creation of insightful reports and interactive dashboards using PowerBI. The training culminates with the development of real applications, amalgamating theory and practice to address complex challenges. This course raises essential skills through practical exercises, establishing the foundations to solve industry problems with vision and skill.

Instituciones educativas

$627.780

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Details to take into account

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Multilingual support

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Digital certificate included

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Assistant Phia

Objectives

The objective pursued is the implementation of theoretical knowledge of Machine Learning, Deep Learning and Data Science, through the realization and resolution of practical cases. 1. Development of the ability to implement Machine Learning and Deep Learning algorithms. - Implementation of supervised learning algorithms. - Implementation of Unsupervised learning algorithms. - Implementation of supervised and unsupervised learning algorithms using Machine Learning and Deep Learning tools and libraries. 2. Development of capabilities in Data Science such as: Analyze and model data. - Prepare reports. - Develop interactive dashboards. 3. Development of strategy capabilities to solve a Machine Learning, Deep Learning or Data Science problem. - By carrying out practical exercises, the student will implement, using programming language, the functions necessary for the construction of Machine Learning and Deep Learning algorithms. In addition to facing a set of data, where it will be analyzed, generating reports, studying the relationships between them, as well as visualizing them in a clear and intuitive way. - Finally, the student will face a real application, in which they use their theoretical and practical knowledge to solve a Machine Learning problem using the most appropriate strategy.

Content

Career opportunities

After completing training in Machine Learning and Deep Learning, with skills in Python and specialized tools, graduates are ready to lead AI projects in technological, financial or health sectors. Additionally, with skills in Data Science and visual analysis in PowerBI, they will be able to work as data analysts, designing strategies based on quantitative information. Finally, with experience in real application development, they will be candidates for software engineer roles with a focus on Artificial Intelligence.

What it prepares you for

The course "Practical Applications of Machine Learning, Deep Learning and Data Science" prepares you to effectively apply supervised and unsupervised learning algorithms with Python and specific libraries. You will acquire the ability to analyze and visualize data using Power BI, creating interactive reports and dashboards. Through practical exercises, you will learn to build solutions for real challenges, optimizing your strategy to address problems in the field of Machine Learning with a practical and strategic approach.

This course is designed for professionals and enthusiasts looking to apply and strengthen their skills in Machine Learning and Deep Learning, using Python and specialized libraries. Data science is also addressed, learning to analyze and interpret data sets with Power BI. Upon completion, participants will be able to transfer theory to the resolution of specific cases and develop real applications, perfecting their analytical and technical strategy.

Our training is 100% online, which allows students to self-regulate their study and adapt it to their own needs. We are committed to personalized and autonomous teaching, with an approach based on critical thinking and constructivism.

We have a highly specialized teaching team that will accompany you throughout the entire teaching-learning process. This will allow you to personalize your training even more, since we adapt to your pace and needs.

You will have access to our learning platform, MyLXP, from any device and at any time of the day, allowing you to decide how and when to study. All of this is possible thanks to our Educa LXP (Learning Experience Platform) methodology, an environment designed to boost your educational progress, encourage innovation and offer a personalized learning experience adapted to each need.