Contact
Request a demo

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

Cross-cutting
Digital Skills

IA Academy

Duration

40 hours

PRESENTATION

The Course on Practical Applications of Machine Learning, Deep Learning, and Data Science offers you the opportunity to enter one of the fastest-growing sectors with the highest demand for workers. Today, the ability to analyze and extract value from data is essential for making strategic decisions in any sector. This course prepares you to master Python tools and libraries, which are essential for implementing Machine Learning and Deep Learning Algorithms. Plus, you'll learn how to use PowerBI for data analysis and visualization, essential skills in the field of Data Science. By participating, you'll not only gain cutting-edge technical knowledge, but you'll also be ready to develop real-world applications that can transform processes and make an impact in the professional world.

Objectives

– Understand and apply machine learning algorithms using Python and its libraries.

– Implement deep learning models in Python to solve complex problems.

– Analyze and visualize data using Power BI effectively and professionally.

– Develop practical data science applications for analyzing real-world data.

– Identify and use key tools in machine learning and deep learning.

– Integrate machine learning solutions into software development projects.

– Evaluate and optimize machine learning and deep learning models to improve their performance.

Syllabus

TEACHING UNIT 1. MACHINE LEARNING. IMPLEMENTATION OF ALGORITHMS IN PYTHON AND MACHINE LEARNING TOOLS AND/OR LIBRARIES. Linear Regression. Logistic Regression. Neural Networks. Clustering. Principal Component Analysis (PCA). TEACHING UNIT 2. DEEP LEARNING. IMPLEMENTATION OF ALGORITHMS IN PYTHON AND DEEP LEARNING TOOLS AND/OR LIBRARIES. Deep neural networks. Algorithm optimization. Convolutional neural networks. Recurrent Neural Networks. NLP. Natural Language Processing. TEACHING UNIT 3. DATA SCIENCE. DATA ANALYSIS AND VISUALIZATION USING THE POWERBI TOOL. Creating tables and reports. Data transformation and filtering. Data visualization. Calculations. Relationships between data tables, metrics, and indicators. Dynamic and interactive dashboard. LEARNING UNIT 4. DEVELOPMENT OF REAL-WORLD APPLICATIONS. Application: Object classification in images. Application: Object detection in images. Application: Facial recognition. Application: Word detection for voice assistants. Application: Business Intelligence.
Request for Information

Related MOOCs

Course

Workplace Risk Prevention, Ergonomics, and Mental Health

The Course on Workplace Risk Prevention, Ergonomics, and Mental Health addresses the growing need to ensure environments...
Read more
Course

Digital Disconnection and Legal Compliance in the Workplace

In the age of remote work, hyperconnectivity has put companies under the scrutiny of the Labor Inspectorate....
Read more
Course

The Right to Digital Disconnection, Health, and Work Ethics

In a world of global digitization, hyperconnectivity has gone from being an advantage to becoming a challenge...
Read more

Are the Educa PHAROS courses eligible for credit?

Many courses can be credited toward the master's programs at Structuralia.
Specialized Courses Catalog

Facts about our area

+ 1.483

Hours

+88.999

Minutes

264

Courses

Educa PHAROS is a next-generation training model that places a company’s human capital at the forefront. Through a platform that adapts to each company’s corporate identity and offers a total of more than 900 courses, it provides tailored training for each organization. The unlimited flat-rate plan provides each company with the number of courses that best suits its needs, as well as the ability to determine which employees will have access.
Scroll to Top