TEST - Data Science and Machine Learning Essentials

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Last updated 24/4/2026
TEST - Data Science and Machine Learning Essentials
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Overview

La analítica de datos y la inteligencia de negocio son cada vez más importantes para las organizaciones que buscan tomar decisiones informadas y mejorar el rendimiento operativo. En España y en toda la Unión Europea, las prácticas basadas en datos también están estrechamente relacionadas con la gobernanza, el cumplimiento normativo y la gestión responsable de los datos.

Este curso ofrece una introducción estructurada a la analítica de datos y a la inteligencia de negocio utilizando Python y Power BI. Explica cómo las organizaciones recopilan, preparan, analizan y visualizan datos para apoyar los procesos de toma de decisiones.

Los participantes aprenderán cómo Python puede utilizarse para la preparación de datos y el análisis exploratorio, mientras que Power BI permite la creación de paneles de inteligencia empresarial e indicadores de rendimiento. El curso también aborda consideraciones legales y éticas, incluyendo el GDPR y los requisitos de protección de datos en España.

Al finalizar el curso, los participantes comprenderán cómo aplicar herramientas de analítica y prácticas de gobernanza para transformar los datos en información útil para la toma de decisiones en entornos empresariales, del sector público y estratégicos.

  • NIS2 Directive Scope & Entity Classification
  • Article 21 NIS2:
    • Supply Chain Cybersecurity
    • Supply Chain Cybersecurity
    • Supply Chain Cybersecurity
  • NIS2 Directive Scope & Entity Classification
  • Article 21 NIS2 

Learning Outcomes

Our teaching approach focuses on learning by doing. You won't just watch videos - you'll write code, solve problems, and build real applications. By the end of this course, you'll have the confidence and skills to create your own projects and pursue a career in tech. The course is regularly updated with the latest industry trends and best practices. You'll learn the tools and technologies that companies are actually using today, making you job-ready from day one.

  • Build predictive models with Python and Scikit-learn
  • Master machine learning algorithms from scratch
  • Deploy ML models to production environments
  • Earn industry-recognized certification

Certification Information

Certification Information

Our certificate is accredited by the CPD Certification Service and
meets the standards set by the Health & Safety Executive (HSE). It
serves as formal evidence Of your competency in workplace health, safety, and compliance.

  • CPD (Continuing Professional Development) accredited
  • CPD (Continuing Professional Development) accredited
  • CPD (Continuing Professional Development) accredited

Curriculum

1

Introduction to Data Science

4 lessons • 12 hours

  • What is Data Science?
  • Applications of Data Science in Real Life
  • Data Science vs Data Analytics vs Machine Learning
  • Data Science Lifecycle
2

Data Handling & Processing

4 lessons • 12 hours

  • Types of Data (Structured vs Unstructured)
  • Data Collection Methods
  • Data Cleaning and Preprocessing
  • Handling Missing Data
3

Mathematics & Statistics Foundations

3 lessons • 5 hours

  • Basic Statistics for Data Science
  • Probability Fundamentals
  • Descriptive vs Inferential Statistics

Requirements

  • Basic programming knowledge (any language)
  • High school level mathematics
  • Access to a computer with internet connection
  • No formal qualifications are required to enrol
  • Access to a computer with internet connection

This Course Includes

  • Basic programming knowledge (any language)
  • High school level mathematics
  • Access to a computer with internet connection
  • No formal qualifications are required to enrol
  • Access to a computer with intemet connection

Why Choose Us

  • Basic programming knowledge (any language)
  • High school level mathematics
  • Access to a computer with intemet connection
  • No formal qualifications are required to enrol
  • Access to a computer with internet connection

Career Opportunities

Welcome to the most comprehensive Web Development course available online! This course is designed to take you from a complete beginner to an advanced developer with real-world skills. Throughout this course, you'll work on multiple hands-on projects that will help you build a strong portfolio. Each project is carefully designed to reinforce the concepts you learn and give you practical experience. Our teaching approach focuses on learning by doing. You won't just watch videos - you'll write code, solve problems, and build real applications. By the end of this course, you'll have the confidence and skills to create your own projects.

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Frequently Asked Questions

Simply browse our course catalog, select the course you want, and click the "Enroll Now" button. You can start learning immediately after enrollment. We offer both free and premium courses to suit every budget.

We accept credit cards, PayPal, and other secure online payment methods.

Yes, we offer a 30-day refund policy if you are not satisfied with the course.

Simply browse our course catalog, select the course you want, and click the "Enroll Now" button. You can start learning
immediately after enrollment. We offer both free and premium courses to suit every budget.

Student Reviews

Testimonial

What Students Say

"Outstanding content and presentation. Dr. Johnson explains complex algorithms in a way that actually makes sense. The hands-on projects were invaluable for building my portfolio."

Michael Rodriguez (ML Engineer at Spotify)

"Best investment I ever made in my career. The course structure is perfect, starting from basics and building up to advanced concepts. Highly recommend to anyone serious about data science."

Sarah Kim (Senior Data Scientist at Uber)

"This course completely transformed my career. The practical approach and real-world projects made complex concepts easy to understand. I landed my dream job within 3 months of completion!"

Jennifer Chen (Data Analyst at Netflix)

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