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

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

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Duration

200 hours

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Spanish

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

Información adicional del Online COURSE

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

6 months de tutorización

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Description

The Practical Applications of Machine Learning, Deep Learning and Data Science Course is an advanced specialization for professionals in the technology, financial or health sectors who seek to update and specialize their skills in the implementation of algorithms and data analysis. This program offers you a strategic deepening in these essential disciplines, fundamental for technological innovation. By thoroughly exploring algorithms in Python and using specialized tools, you will gain the ability to effectively implement deep and machine learning solutions, spanning both supervised and unsupervised models. You will develop critical analysis and data modeling, enabling you to create insightful reports and interactive dashboards, all powered by PowerBI. Your training culminates with the development of real applications, where you will integrate theory with practice to address complex challenges in the sector. This course elevates your essential competencies through practical exercises and applied projects, establishing the foundations to drive advanced solutions and lead artificial intelligence projects.

Job opportunities

Your specialization in Machine Learning, Deep Learning and Data Science will position you as a reference in the technological, financial and health sectors. You will be able to establish yourself in high-demand roles such as Artificial Intelligence Specialist, Machine Learning Solutions Architect or Senior Data Scientist. You will lead AI projects, from conception to implementation of advanced algorithms in Python. Your mastery of PowerBI data analysis and visualization will allow you to design interactive dashboards and generate strategic reports. You will develop real applications that solve complex challenges, providing differential value to your organization. This prepares you to assume responsibilities that require deep technical expertise and strategic vision in data-driven environments, driving innovation in your company.

What does it prepare you for?

This program prepares you to master the practical application of artificial intelligence, differentiating you from more general profiles. You will specialize in the implementation of advanced algorithms for the development of artificial intelligence solutions. You will implement machine and deep learning algorithms with Python, addressing both supervised and unsupervised models. You will develop expert capacity in applied data science, analyzing and visualizing complex information to extract strategic insights. You will design and build real applications, integrating your knowledge to solve specific business problems. You'll create insightful reports and interactive dashboards with PowerBI, transforming data into informed decisions. You will position yourself as a specialist capable of leading technological innovation and data-based decision making.

Who is it addressed to?

This program is aimed at professionals in the technology, financial and health sectors seeking advanced specialization in artificial intelligence. If you already have a foundation in advanced data analysis or software development and want to deepen your knowledge in machine learning and neural networks, this is your path. It is ideal for those who work with Python and aspire to master the implementation of advanced algorithms, both supervised and unsupervised, and for those who want to take their data analysis and visualization skills to an expert level, creating interactive reports and dashboards with PowerBI. It will allow you to differentiate yourself and tackle more complex projects.

Objectives

• Master the implementation of machine learning algorithms in Python and its specific libraries. • Implement deep learning algorithms with Python, using advanced tools and libraries. • Analyze complex data sets in depth, applying data science techniques. • Design and create interactive data visualizations and dashboards with PowerBI. • Solve complex practical cases by applying supervised learning algorithms. • Develop unsupervised learning solutions, managing its tools and libraries. • Build real applications that integrate machine learning, deep learning and data science.

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

$427.00